Showing 200 of total 525 results (show query)
braverock
PerformanceAnalytics:Econometric Tools for Performance and Risk Analysis
Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Maintained by Brian G. Peterson. Last updated 3 months ago.
111.3 match 222 stars 15.93 score 4.8k scripts 20 dependentsmages
googleVis:R Interface to Google Charts
R interface to Google's chart tools, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with an Internet connection is required. The data remains local and is not uploaded to Google.
Maintained by Markus Gesmann. Last updated 10 months ago.
87.1 match 361 stars 12.98 score 2.4k scripts 11 dependentsdreamrs
billboarder:Create Interactive Chart with the JavaScript 'Billboard' Library
Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Maintained by Victor Perrier. Last updated 5 months ago.
100.7 match 174 stars 9.74 score 96 scripts 4 dependentsjoshuaulrich
quantmod:Quantitative Financial Modelling Framework
Specify, build, trade, and analyse quantitative financial trading strategies.
Maintained by Joshua M. Ulrich. Last updated 14 days ago.
algorithmic-tradingchartingdata-importfinancetime-series
45.9 match 839 stars 16.17 score 8.1k scripts 343 dependentsluca-scr
qcc:Quality Control Charts
Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.
Maintained by Luca Scrucca. Last updated 2 years ago.
57.4 match 46 stars 11.29 score 730 scripts 6 dependentsdatastorm-open
rAmCharts:JavaScript Charts Tool
Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <https://datastorm-open.github.io/introduction_ramcharts/> and <https://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <https://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <https://www.amcharts.com/about/> for more information about 'AmCharts' company.
Maintained by Benoit Thieurmel. Last updated 2 months ago.
62.7 match 49 stars 7.17 score 153 scripts 4 dependentssciviews
chart:Unified Interface (with Formula) for R Plots
Chart generalizes plot generation in R, being with base R plot function, lattice or ggplot2. A formula interface is available for both ggplot2 and lattice. The function 'chart()' automatically uses labels and units if they are defined in the data.
Maintained by Philippe Grosjean. Last updated 10 months ago.
74.4 match 4 stars 5.85 score 49 scripts 3 dependentssafetygraphics
safetyGraphics:Interactive Graphics for Monitoring Clinical Trial Safety
A framework for evaluation of clinical trial safety. Users can interactively explore their data using the included 'Shiny' application.
Maintained by Jeremy Wildfire. Last updated 2 years ago.
52.1 match 98 stars 8.18 score 111 scriptsdreamrs
apexcharter:Create Interactive Chart with the JavaScript 'ApexCharts' Library
Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Maintained by Victor Perrier. Last updated 25 days ago.
49.5 match 144 stars 8.51 score 247 scriptsdreamrs
vchartr:Interactive Charts with the 'JavaScript' 'VChart' Library
Provides an 'htmlwidgets' interface to 'VChart.js'. 'VChart', more than just a cross-platform charting library, but also an expressive data storyteller. 'VChart' examples and documentation are available here: <https://www.visactor.io/vchart>.
Maintained by Victor Perrier. Last updated 2 months ago.
60.1 match 9 stars 6.89 score 96 scriptsnmecsys
BETS:Brazilian Economic Time Series
It provides access to and information about the most important Brazilian economic time series - from the Getulio Vargas Foundation <http://portal.fgv.br/en>, the Central Bank of Brazil <http://www.bcb.gov.br> and the Brazilian Institute of Geography and Statistics <http://www.ibge.gov.br>. It also presents tools for managing, analysing (e.g. generating dynamic reports with a complete analysis of a series) and exporting these time series.
Maintained by Talitha Speranza. Last updated 4 years ago.
51.0 match 38 stars 7.82 score 108 scriptsknoths
spc:Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Maintained by Sven Knoth. Last updated 7 months ago.
103.6 match 5 stars 3.30 score 66 scripts 1 dependentsserkor1
cryptoQuotes:Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts
This high-level API client provides open access to cryptocurrency market data, sentiment indicators, and interactive charting tools. The data is sourced from major cryptocurrency exchanges via 'curl' and returned in 'xts'-format. The data comes in open, high, low, and close (OHLC) format with flexible granularity, ranging from seconds to months. This flexibility makes it ideal for developing and backtesting trading strategies or conducting detailed market analysis.
Maintained by Serkan Korkmaz. Last updated 4 months ago.
binancebinance-apibitmartbybitbybit-apicryptocurrenciescryptocurrencycryptocurrency-exchangeshuobihuobi-apikraken-apikraken-exchange-apikucoinkucoin-api
50.0 match 39 stars 6.66 score 26 scriptsbraverock
PortfolioAnalytics:Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Portfolio optimization and analysis routines and graphics.
Maintained by Brian G. Peterson. Last updated 3 months ago.
27.2 match 81 stars 11.49 score 626 scripts 2 dependentsunina-sfere
funcharts:Functional Control Charts
Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Centofanti et al. (2022) <doi:10.48550/arXiv.2205.06256>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Maintained by Christian Capezza. Last updated 2 days ago.
44.2 match 2 stars 6.67 score 168 scriptszmeers
flourishcharts:'Flourish' for 'R' and 'Python'
Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.
Maintained by Zoe Meers. Last updated 5 months ago.
96.9 match 3.00 score 5 scriptsneuhausi
canvasXpress:Visualization Package for CanvasXpress in R
Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Maintained by Connie Brett. Last updated 4 days ago.
analyticsbioinformaticschartchartingdashdashboarddata-analyticsdata-sciencedata-visualizationgenomicsgraphsjavascriptnetworknetwork-visualizationpythonreproducible-researchshinyvisualization
25.0 match 295 stars 11.39 score 145 scriptshrbrmstr
waffle:Create Waffle Chart Visualizations
Square pie charts (a.k.a. waffle charts) can be used to communicate parts of a whole for categorical quantities. To emulate the percentage view of a pie chart, a 10x10 grid should be used with each square representing 1% of the total. Modern uses of waffle charts do not necessarily adhere to this rule and can be created with a grid of any rectangular shape. Best practices suggest keeping the number of categories small, just as should be done when creating pie charts. Tools are provided to create waffle charts as well as stitch them together, and to use glyphs for making isotype pictograms.
Maintained by Bob Rudis. Last updated 1 years ago.
data-visualisationdata-visualizationdatavisualizationggplot2square-pie-chartswaffle-charts
26.5 match 778 stars 10.66 score 1.3k scripts 5 dependentsanhoej
qicharts2:Quality Improvement Charts
Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
Maintained by Jacob Anhoej. Last updated 1 months ago.
30.2 match 39 stars 9.04 score 122 scripts 2 dependentssyncrosim
rsyncrosim:The R Interface to 'SyncroSim'
'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Maintained by Katie Birchard. Last updated 9 days ago.
38.2 match 9 stars 7.09 score 189 scriptsanhoej
qicharts:Quality Improvement Charts
Functions for making run charts [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic Shewhart control charts [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>] for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Maintained by Jacob Anhoej. Last updated 4 years ago.
38.0 match 4 stars 6.65 score 83 scripts 1 dependentsbusiness-science
tidyquant:Tidy Quantitative Financial Analysis
Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Maintained by Matt Dancho. Last updated 1 months ago.
dplyrfinancial-analysisfinancial-datafinancial-statementsmultiple-stocksperformance-analysisperformanceanalyticsquantmodstockstock-exchangesstock-indexesstock-listsstock-performancestock-pricesstock-symboltidyversetime-seriestimeseriesxts
18.7 match 872 stars 13.34 score 5.2k scriptsdmurdoch
plotrix:Various Plotting Functions
Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.
Maintained by Duncan Murdoch. Last updated 1 years ago.
19.2 match 5 stars 11.31 score 9.2k scripts 361 dependentsnflverse
nflreadr:Download 'nflverse' Data
A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Maintained by Tan Ho. Last updated 4 months ago.
nflnflfastrnflversesports-data
17.4 match 66 stars 12.46 score 476 scripts 10 dependentsagandy
spcadjust:Functions for Calibrating Control Charts
Calibration of thresholds of control charts such as CUSUM charts based on past data, taking estimation error into account.
Maintained by Axel Gandy. Last updated 8 years ago.
62.8 match 1 stars 3.35 score 37 scriptsmrjoh3
c3:'C3.js' Chart Library
Create interactive charts with the 'C3.js' <http://c3js.org/> charting library. All plot types in 'C3.js' are available and include line, bar, scatter, and mixed geometry plots. Plot annotations, labels and axis are highly adjustable. Interactive web based charts can be embedded in R Markdown documents or Shiny web applications.
Maintained by Matt Johnson. Last updated 4 years ago.
30.1 match 39 stars 6.45 score 72 scriptsdreamrs
toastui:Interactive Tables, Calendars and Charts for the Web
Create interactive tables, calendars and charts with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.
Maintained by Victor Perrier. Last updated 16 days ago.
19.2 match 86 stars 10.03 score 144 scripts 8 dependentsjbkunst
highcharter:A Wrapper for the 'Highcharts' Library
A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <https://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Maintained by Joshua Kunst. Last updated 1 years ago.
highchartshtmlwidgetsshinyshiny-rvisualizationwrapper
13.7 match 725 stars 13.93 score 4.9k scripts 18 dependentskenithgrey
ggQC:Quality Control Charts for 'ggplot'
Plot single and faceted type quality control charts for 'ggplot'.
Maintained by Kenith Grey. Last updated 6 years ago.
28.0 match 46 stars 6.74 score 119 scriptsbioc
RCy3:Functions to Access and Control Cytoscape
Vizualize, analyze and explore networks using Cytoscape via R. Anything you can do using the graphical user interface of Cytoscape, you can now do with a single RCy3 function.
Maintained by Alex Pico. Last updated 5 months ago.
visualizationgraphandnetworkthirdpartyclientnetwork
13.8 match 52 stars 13.39 score 628 scripts 15 dependentsnvelden
geneviewer:Gene Cluster Visualizations
Provides tools for plotting gene clusters and transcripts by importing data from GenBank, FASTA, and GFF files. It performs BLASTP and MUMmer alignments [Altschul et al. (1990) <doi:10.1016/S0022-2836(05)80360-2>; Delcher et al. (1999) <doi:10.1093/nar/27.11.2369>] and displays results on gene arrow maps. Extensive customization options are available, including legends, labels, annotations, scales, colors, tooltips, and more.
Maintained by Niels van der Velden. Last updated 30 days ago.
30.7 match 69 stars 5.99 score 13 scriptsmicrosoft
wpa:Tools for Analysing and Visualising Viva Insights Data
Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Maintained by Martin Chan. Last updated 4 months ago.
25.9 match 30 stars 6.69 score 39 scripts 1 dependentskzst
rbcc:Risk-Based Control Charts
Univariate and multivariate versions of risk-based control charts. Univariate versions of control charts, such as the risk-based version of X-bar, Moving Average (MA), Exponentially Weighted Moving Average Control Charts (EWMA), and Cumulative Sum Control Charts (CUSUM) charts. The risk-based version of the multivariate T2 control chart. Plot and summary functions. Kosztyan et. al. (2016) <doi:10.1016/j.eswa.2016.06.019>.
Maintained by Zsolt Tibor Kosztyan. Last updated 25 days ago.
44.2 match 3.48 score 1 scriptsshosaco
vistime:Pretty Timelines in R
A library for creating time based charts, like Gantt or timelines. Possible outputs include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js' widgets and data.frames. Results can be used in the 'RStudio' viewer pane, in 'RMarkdown' documents or in Shiny apps. In the interactive outputs created by vistime() and hc_vistime(), you can interact with the plot using mouse hover or zoom.
Maintained by Sandro Raabe. Last updated 6 months ago.
16.1 match 174 stars 9.37 score 142 scripts 1 dependentscran
cusum:Cumulative Sum (CUSUM) Charts for Monitoring of Hospital Performance
Provides functions for constructing and evaluating CUSUM charts and RA-CUSUM charts with focus on false signal probability.
Maintained by Lena Hubig. Last updated 5 years ago.
39.2 match 3.81 score 16 scriptshrbrmstr
hrbrthemes:Additional Themes, Theme Components and Utilities for 'ggplot2'
A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' is also included.
Maintained by Bob Rudis. Last updated 2 days ago.
data-visualizationdatavisualizationggplot-extensionggplot2ggplot2-scalesggplot2-themesvisualization
10.5 match 1.3k stars 13.92 score 13k scripts 15 dependentsschnorr
starvz:R-Based Visualization Techniques for Task-Based Applications
Performance analysis workflow that combines the power of the R language (and the tidyverse realm) and many auxiliary tools to provide a consistent, flexible, extensible, fast, and versatile framework for the performance analysis of task-based applications that run on top of the StarPU runtime (with its MPI (Message Passing Interface) layer for multi-node support). Its goal is to provide a fruitful prototypical environment to conduct performance analysis hypothesis-checking for task-based applications that run on heterogeneous (multi-GPU, multi-core) multi-node HPC (High-performance computing) platforms.
Maintained by Lucas Leandro Nesi. Last updated 5 months ago.
29.5 match 13 stars 4.94 score 27 scriptsstla
rAmCharts4:Interface to the JavaScript Library 'amCharts 4'
Creates JavaScript charts. The charts can be included in 'Shiny' apps and R markdown documents, or viewed from the R console and 'RStudio' viewer. Based on the JavaScript library 'amCharts 4' and the R packages 'htmlwidgets' and 'reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, boxplot chart, pie chart, and 100% stacked bar chart.
Maintained by Stรฉphane Laurent. Last updated 2 years ago.
31.7 match 28 stars 4.61 score 29 scriptsindrajeetpatil
ggstatsplot:'ggplot2' Based Plots with Statistical Details
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Maintained by Indrajeet Patil. Last updated 20 days ago.
bayes-factorsdatasciencedatavizeffect-sizeggplot-extensionhypothesis-testingnon-parametric-statisticsregression-modelsstatistical-analysis
9.5 match 2.1k stars 14.49 score 3.0k scripts 1 dependentsmicrosoft
vivainsights:Analyze and Visualize Data from 'Microsoft Viva Insights'
Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Maintained by Martin Chan. Last updated 23 days ago.
22.5 match 11 stars 6.12 score 68 scriptsappliedstat
rQCC:Robust Quality Control Chart
Constructs various robust quality control charts based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). The estimators used for the robust control charts are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>. In addition, using this R package, the conventional quality control charts such as X-bar, S, R, p, np, u, c, g, h, and t charts are also easily constructed. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319).
Maintained by Chanseok Park. Last updated 1 years ago.
control-chartgoodness-of-fitr-languageweibull
29.2 match 2 stars 4.70 score 3 scriptsharrelfe
Hmisc:Harrell Miscellaneous
Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Maintained by Frank E Harrell Jr. Last updated 3 days ago.
7.7 match 210 stars 17.61 score 17k scripts 750 dependentsthomas-neitmann
ggcharts:Get You to Your Desired Plot Faster
Streamlines the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface for creating plots using 'ggplot2'.
Maintained by Thomas Neitmann. Last updated 3 years ago.
data-visualizationggplot2plots
15.8 match 291 stars 8.49 score 119 scripts 1 dependentshrbrmstr
ggalt:Extra Coordinate Systems, 'Geoms', Statistical Transformations, Scales and Fonts for 'ggplot2'
A compendium of new geometries, coordinate systems, statistical transformations, scales and fonts for 'ggplot2', including splines, 1d and 2d densities, univariate average shifted histograms, a new map coordinate system based on the 'PROJ.4'-library along with geom_cartogram() that mimics the original functionality of geom_map(), formatters for "bytes", a stat_stepribbon() function, increased 'plotly' compatibility and the 'StateFace' open source font 'ProPublica'. Further new functionality includes lollipop charts, dumbbell charts, the ability to encircle points and coordinate-system-based text annotations.
Maintained by Bob Rudis. Last updated 2 years ago.
geomggplot-extensionggplot2ggplot2-geomggplot2-scales
10.3 match 674 stars 12.59 score 2.3k scripts 7 dependentssafetygraphics
safetyCharts:Charts for Monitoring Clinical Trial Safety
Contains chart code for monitoring clinical trial safety. Charts can be used as standalone output, but are also designed for use with the 'safetyGraphics' package, which makes it easy to load data and customize the charts using an interactive web-based interface created with Shiny.
Maintained by Jeremy Wildfire. Last updated 6 months ago.
22.9 match 9 stars 5.36 score 21 scripts 1 dependentsfeddelegrand7
ddplot:Create D3 Based SVG Graphics
Create 'D3' based 'SVG' ('Scalable Vector Graphics') graphics using a simple 'R' API. The package aims to simplify the creation of many 'SVG' plot types using a straightforward 'R' API. The package relies on the 'r2d3' 'R' package and the 'D3' 'JavaScript' library. See <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.
Maintained by Mohamed El Fodil Ihaddaden. Last updated 2 years ago.
21.4 match 44 stars 5.64 score 7 scriptsrstudio
dygraphs:Interface to 'Dygraphs' Interactive Time Series Charting Library
An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
Maintained by Petr Shevtsov. Last updated 2 years ago.
8.9 match 365 stars 13.48 score 3.6k scripts 65 dependentsmnbram
gggibbous:Moon Charts, a Pie Chart Alternative
Moon charts are like pie charts except that the proportions are shown as crescent or gibbous portions of a circle, like the lit and unlit portions of the moon. As such, they work best with only one or two groups. 'gggibbous' extends 'ggplot2' to allow for plotting multiple moon charts in a single panel and does not require a square coordinate system.
Maintained by Michael Bramson. Last updated 4 years ago.
15.9 match 65 stars 7.38 score 61 scripts 4 dependentsflaviobarros
IQCC:Improved Quality Control Charts
Builds statistical control charts with exact limits for univariate and multivariate cases.
Maintained by Flavio Barros. Last updated 6 years ago.
30.0 match 2 stars 3.92 score 28 scripts 1 dependentsrishvish
PieGlyph:Axis Invariant Scatter Pie Plots
Extends 'ggplot2' to help replace points in a scatter plot with pie-chart glyphs showing the relative proportions of different categories. The pie glyphs are independent of the axes and plot dimensions, to prevent distortions when the plot dimensions are changed.
Maintained by Rishabh Vishwakarma. Last updated 9 months ago.
16.9 match 5 stars 6.88 score 29 scripts 1 dependentsrte-antares-rpackage
manipulateWidget:Add Even More Interactivity to Interactive Charts
Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Maintained by Veronique Bachelier. Last updated 3 years ago.
graphicalhtmlwidgetsinteractive-chartsmanipulaterteshinytyndp
12.8 match 129 stars 8.82 score 143 scripts 1 dependentsrsquaredacademy
blorr:Tools for Developing Binary Logistic Regression Models
Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.
Maintained by Aravind Hebbali. Last updated 4 months ago.
logistic-regression-modelsregressioncpp
15.7 match 17 stars 7.13 score 144 scripts 1 dependentspaolodalena
tastypie:Easy Pie Charts
You only need to type 'why pie charts are bad' on Google to find thousands of articles full of (valid) reasons why other types of charts should be preferred over this one. Therefore, because of the little use due to the reasons already mentioned, making pie charts (and related) in R is not straightforward, so other functions are needed to simplify things. In this R package there are useful functions to make 'tasty' pie charts immediately by exploiting the many cool templates provided.
Maintained by Paolo Dalena. Last updated 2 years ago.
21.1 match 15 stars 5.24 score 23 scriptstimelyportfolio
sunburstR:Sunburst 'Htmlwidget'
Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Maintained by Kent Russell. Last updated 2 years ago.
chartd3htmlwidgetsinteractivejavascriptvisualization
11.0 match 210 stars 10.02 score 310 scripts 4 dependentshelgasoft
echarty:Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Maintained by Larry Helgason. Last updated 2 months ago.
3danimationboxplotchartscrosstalkechartsechartygeojsonglobegraphsheatmaphierarchical-dataleafletmapsmorphingshapefilesshinyvisualizationwebr
18.3 match 90 stars 5.95 score 20 scriptsardata-fr
mschart:Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
Maintained by David Gohel. Last updated 11 months ago.
ms-office-documentsofficepowerpointword
14.8 match 132 stars 7.22 score 108 scripts 1 dependentsxd-deng
ECharts2Shiny:Embedding Interactive Charts Generated with ECharts Library into Shiny Applications
Embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (<http://echarts.baidu.com/>). Current version supports line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map, and heat map.
Maintained by Xiaodong Deng. Last updated 4 years ago.
14.3 match 129 stars 7.42 score 135 scriptsrsquaredacademy
olsrr:Tools for Building OLS Regression Models
Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Maintained by Aravind Hebbali. Last updated 4 months ago.
collinearity-diagnosticslinear-modelsregressionstepwise-regression
8.5 match 103 stars 12.19 score 1.4k scripts 4 dependentschoonghyunryu
dlookr:Tools for Data Diagnosis, Exploration, Transformation
A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.
Maintained by Choonghyun Ryu. Last updated 9 months ago.
9.2 match 212 stars 11.05 score 748 scripts 2 dependentshrbrmstr
vegalite:Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec'
The 'Vega-Lite' 'JavaScript' framework provides a higher-level grammar for visual analysis, akin to 'ggplot' or 'Tableau', that generates complete 'Vega' specifications. Functions exist which enable building a valid 'spec' from scratch or importing a previously created 'spec' file. Functions also exist to export 'spec' files and to generate code which will enable plots to be embedded in properly configured web pages. The default behavior is to generate an 'htmlwidget'.
Maintained by Bob Rudis. Last updated 7 years ago.
data-visualizationdatavisualizationvega-litevega-lite-specvisualizationwidget
13.3 match 158 stars 7.60 score 84 scriptsryninho
mekko:Variable Width Bar Charts: Bar Mekko
Create variable width bar charts i.e. "bar mekko" charts to include important quantitative context. Closely related to mosaic, spine (or spinogram), matrix, submarine, olympic, Mondrian or product plots and tree maps.
Maintained by Eric Rynerson. Last updated 7 years ago.
bar-chartbar-chartsbar-graphsggplot2graphgraphsmarimekkomatrix-chartmondrianmosaic-plotsolympicplotplotsplottingspinesubmarine
26.2 match 10 stars 3.74 score 11 scriptsmangothecat
radarchart:Radar Chart from 'Chart.js'
Create interactive radar charts using the 'Chart.js' 'JavaScript' library and the 'htmlwidgets' package. 'Chart.js' <http://www.chartjs.org/> is a lightweight library that supports several types of simple chart using the 'HTML5' canvas element. This package provides an R interface specifically to the radar chart, sometimes called a spider chart, for visualising multivariate data.
Maintained by Doug Ashton. Last updated 6 years ago.
11.5 match 68 stars 8.34 score 268 scripts 1 dependentsmiyamot0
fxl:'fxl' Single Case Design Charting Package
The 'fxl' Charting package is used to prepare and design single case design figures that are typically prepared in spreadsheet software. With 'fxl', there is no need to leave the R environment to prepare these works and many of the more unique conventions in single case experimental designs can be performed without the need for physically constructing features of plots (e.g., drawing annotations across plots). Support is provided for various different plotting arrangements (e.g., multiple baseline), annotations (e.g., brackets, arrows), and output formats (e.g., svg, rasters).
Maintained by Shawn Gilroy. Last updated 3 months ago.
behavior-analysissingle-case-designvisual-analysis
17.2 match 8 stars 5.46 score 24 scriptsrmi-pacta
pacta.interactive.plot:What the Package Does (One Line, Title Case)
What the package does (one paragraph).
Maintained by CJ Yetman. Last updated 8 months ago.
d3data-visualizationinteractive-visualizationspactar2d3
18.1 match 2 stars 5.16 score 7 scripts 1 dependentskof-ch
tstools:A Time Series Toolbox for Official Statistics
Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
Maintained by Stรฉphane Bisinger. Last updated 1 years ago.
14.2 match 11 stars 6.47 score 177 scriptstntp
tntpr:Data Analysis Tools Customized for TNTP
An assortment of functions and templates customized to meet the needs of data analysts at the non-profit organization TNTP. Includes functions for branded colors and plots, credentials management, repository set-up, and other common analytic tasks.
Maintained by Dustin Pashouwer. Last updated 4 months ago.
14.9 match 7 stars 5.83 score 13 scriptschunqiaoluo
patternplot:Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images
Creates aesthetically pleasing and informative pie charts, ring charts, bar charts and box plots with colors, patterns, and images.
Maintained by Chunqiao Luo. Last updated 5 years ago.
27.3 match 1 stars 3.10 score 125 scriptsjrnold
ggthemes:Extra Themes, Scales and Geoms for 'ggplot2'
Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
Maintained by Jeffrey B. Arnold. Last updated 1 years ago.
data-visualisationggplot2ggplot2-themesplotplottingthemevisualization
5.2 match 1.3k stars 16.17 score 40k scripts 102 dependentsingharold-madrid
LGCU:Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts
Implements Cumulative Sum (CUSUM) control charts specifically designed for monitoring processes following a Gamma distribution. Provides functions to estimate distribution parameters, simulate control limits, and apply cautious learning schemes for adaptive thresholding. It supports upward and downward monitoring with guaranteed performance evaluated via Monte Carlo simulations. It is useful for quality control applications in industries where data follows a Gamma distribution. Methods are based on Madrid-Alvarez et al. (2024) <doi:10.1002/qre.3464> and Madrid-Alvarez et al. (2024) <doi:10.1080/08982112.2024.2440368>.
Maintained by Harold Manuel Madrid-Alvarez. Last updated 6 days ago.
26.8 match 3.00 scorejohncoene
echarts4r:Create Interactive Graphs with 'Echarts JavaScript' Version 5
Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.
Maintained by David Munoz Tord. Last updated 3 days ago.
echartshacktoberfesthtmlwidgethtmlwidgetsvisualization
6.9 match 603 stars 11.45 score 1.3k scripts 11 dependentscran
datarobot:'DataRobot' Predictive Modeling API
For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
Maintained by AJ Alon. Last updated 1 years ago.
22.5 match 2 stars 3.48 scorebest-practice-and-impact
afcharts:Produce Charts Following UK Government Analysis Function Guidance
Colour palettes and a 'ggplot2' theme to follow the UK Government Analysis Function best practice guidance for producing data visualisations, available at <https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/>. Includes continuous and discrete colour and fill scales, as well as a 'ggplot2' theme.
Maintained by Olivia Box Power. Last updated 2 months ago.
10.1 match 21 stars 7.61 score 7 scriptsbioc
epivizrChart:R interface to epiviz web components
This package provides an API for interactive visualization of genomic data using epiviz web components. Objects in R/BioConductor can be used to generate interactive R markdown/notebook documents or can be visualized in the R Studio's default viewer.
Maintained by Hector Corrada Bravo. Last updated 5 months ago.
16.1 match 4.68 score 12 scriptskassambara
ggpubr:'ggplot2' Based Publication Ready Plots
The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Maintained by Alboukadel Kassambara. Last updated 2 years ago.
4.5 match 1.2k stars 16.68 score 65k scripts 409 dependentsgjwgit
rattle:Graphical User Interface for Data Science in R
The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the data scientist. A Gnome (RGtk2) based graphical interface is included with the aim to provide a simple and intuitive introduction to R for data science, allowing a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. A key aspect of the GUI is that all R commands are logged and commented through the log tab. This can be saved as a standalone R script file and as an aid for the user to learn R or to copy-and-paste directly into R itself. Note that RGtk2 and cairoDevice have been archived on CRAN. See <https://rattle.togaware.com> for installation instructions.
Maintained by Graham Williams. Last updated 3 years ago.
8.8 match 16 stars 8.48 score 3.0k scripts 3 dependentsjohnmackintosh
runcharter:Automatically Plot, Analyse and Revises Limits of Multiple Run Charts
Plots multiple run charts, finds successive signals of improvement, and revises medians when each signal occurs. Finds runs above, below, or on both sides of the median, and returns a plot and a data.table summarising original medians and any revisions, for all groups within the supplied data.
Maintained by John MacKintosh. Last updated 3 years ago.
chart-analysishealthcarenhsnhs-r-communityquality-controlquality-improvementquality-improvement-effortsrdatatable
12.1 match 38 stars 6.11 score 17 scriptstylerjpike
sovereign:State-Dependent Empirical Analysis
A set of tools for state-dependent empirical analysis through both VAR- and local projection-based state-dependent forecasts, impulse response functions, historical decompositions, and forecast error variance decompositions.
Maintained by Tyler J. Pike. Last updated 2 years ago.
econometricsforecastingimpulse-responselocal-projectionmacroeconomicsstate-dependenttime-seriesvector-autoregression
15.3 match 11 stars 4.74 score 8 scriptsjanmarvin
openxlsx2:Read, Write and Edit 'xlsx' Files
Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Maintained by Jan Marvin Garbuszus. Last updated 1 days ago.
5.2 match 138 stars 13.67 score 194 scripts 11 dependentssportsdataverse
hoopR:Access Men's Basketball Play by Play Data
A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Maintained by Saiem Gilani. Last updated 1 years ago.
basketballcollege-basketballespnkenpomnbanba-analyticsnba-apinba-datanba-statisticsnba-statsnba-stats-apincaancaa-basketballncaa-bracketncaa-playersncaa-ratingsncaamsportsdataverse
10.2 match 91 stars 6.93 score 261 scriptsfcharte
mldr:Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.
Maintained by David Charte. Last updated 5 years ago.
9.9 match 23 stars 7.07 score 168 scripts 2 dependentsarchaeothommy
chronochrt:Creating Chronological Charts
Easy way to draw chronological charts from tables, aiming to include an intuitive environment for anyone new to R. Includes 'ggplot2' geoms and theme for chronological charts.
Maintained by Thomas Rose. Last updated 6 months ago.
17.2 match 4.00 score 6 scriptskcuilla
reactablefmtr:Streamlined Table Styling and Formatting for Reactable
Provides various features to streamline and enhance the styling of interactive reactable tables with easy-to-use and highly-customizable functions and themes. Apply conditional formatting to cells with data bars, color scales, color tiles, and icon sets. Utilize custom table themes inspired by popular websites such and bootstrap themes. Apply sparkline line & bar charts (note this feature requires the 'dataui' package which can be downloaded from <https://github.com/timelyportfolio/dataui>). Increase the portability and reproducibility of reactable tables by embedding images from the web directly into cells. Save the final table output as a static image or interactive file.
Maintained by Kyle Cuilla. Last updated 2 years ago.
customizationdata-visualizationeasy-to-usereproducibletables
7.6 match 209 stars 8.79 score 460 scripts 4 dependentsbioc
struct:Statistics in R Using Class-based Templates
Defines and includes a set of class-based templates for developing and implementing data processing and analysis workflows, with a strong emphasis on statistics and machine learning. The templates can be used and where needed extended to 'wrap' tools and methods from other packages into a common standardised structure to allow for effective and fast integration. Model objects can be combined into sequences, and sequences nested in iterators using overloaded operators to simplify and improve readability of the code. Ontology lookup has been integrated and implemented to provide standardised definitions for methods, inputs and outputs wrapped using the class-based templates.
Maintained by Gavin Rhys Lloyd. Last updated 5 months ago.
10.9 match 6.04 score 76 scripts 3 dependentsstla
Rnvd3:An Incomplete Wrapper of the 'nvd3' JavaScript Library
Creates JavaScript charts with the 'nvd3' library. So far only the multibar chart, the horizontal multibar chart, the line chart and the line chart with focus are available.
Maintained by Stรฉphane Laurent. Last updated 4 years ago.
22.8 match 1 stars 2.88 score 15 scriptsgiocomai
ganttrify:Create beautiful Gantt charts with ggplot2
'ganttrify' facilitates the creation of nice-looking Gantt charts, commonly used in project proposals and project management.
Maintained by Giorgio Comai (OBCT/CCI). Last updated 1 years ago.
12.8 match 676 stars 5.03 score 32 scriptsdaya6489
SmartEDA:Summarize and Explore the Data
Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
Maintained by Dayanand Ubrangala. Last updated 1 years ago.
analysisexploratory-data-analysis
8.9 match 42 stars 7.25 score 214 scriptskzst
mxcc:Maxwell Control Charts
Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
Maintained by Zsolt T. Kosztyan. Last updated 8 days ago.
24.0 match 2.60 scoresachsmc
plotROC:Generate Useful ROC Curve Charts for Print and Interactive Use
Most ROC curve plots obscure the cutoff values and inhibit interpretation and comparison of multiple curves. This attempts to address those shortcomings by providing plotting and interactive tools. Functions are provided to generate an interactive ROC curve plot for web use, and print versions. A Shiny application implementing the functions is also included.
Maintained by Michael C. Sachs. Last updated 4 months ago.
5.7 match 87 stars 10.93 score 932 scripts 7 dependentsbioc
epivizr:R Interface to epiviz web app
This package provides connections to the epiviz web app (http://epiviz.cbcb.umd.edu) for interactive visualization of genomic data. Objects in R/bioc interactive sessions can be displayed in genome browser tracks or plots to be explored by navigation through genomic regions. Fundamental Bioconductor data structures are supported (e.g., GenomicRanges and RangedSummarizedExperiment objects), while providing an easy mechanism to support other data structures (through package epivizrData). Visualizations (using d3.js) can be easily added to the web app as well.
Maintained by Hector Corrada Bravo. Last updated 5 months ago.
visualizationinfrastructuregui
11.6 match 5.24 score 29 scripts 2 dependentsnilspetras
IPV:Item Pool Visualization
Generate plots based on the Item Pool Visualization concept for latent constructs. Item Pool Visualizations are used to display the conceptual structure of a set of items (self-report or psychometric). Dantlgraber, Stieger, & Reips (2019) <doi:10.1177/2059799119884283>.
Maintained by Nils Petras. Last updated 2 years ago.
15.1 match 2 stars 4.00 score 3 scriptsshikokuchuo
ichimoku:Visualization and Tools for Ichimoku Kinko Hyo Strategies
An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Maintained by Charlie Gao. Last updated 2 days ago.
ichimokuichimoku-cloudoandaquantitative-finance
7.6 match 31 stars 7.73 score 34 scriptstidyverse
ggplot2:Create Elegant Data Visualisations Using the Grammar of Graphics
A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Maintained by Thomas Lin Pedersen. Last updated 9 days ago.
data-visualisationvisualisation
2.3 match 6.6k stars 25.10 score 645k scripts 7.5k dependentsk3jph
waterfall:Waterfall Charts
Provides support for creating waterfall charts in R using both traditional base and lattice graphics.
Maintained by "James P. Howard, II". Last updated 7 years ago.
latticewaterfallwaterfall-charts
16.3 match 3 stars 3.45 score 19 scriptsnutriverse
zscorer:Child Anthropometry z-Score Calculator
A tool for calculating z-scores and centiles for weight-for-age, length/height-for-age, weight-for-length/height, BMI-for-age, head circumference-for-age, age circumference-for-age, subscapular skinfold-for-age, triceps skinfold-for-age based on the WHO Child Growth Standards.
Maintained by Ernest Guevarra. Last updated 4 years ago.
anthropometric-indicesanthropometrygrowth-chartsgrowth-standardsheight-for-agenutritionweight-for-ageweight-for-heightz-score
7.5 match 14 stars 7.30 score 47 scripts 1 dependentsbioc
derfinder:Annotation-agnostic differential expression analysis of RNA-seq data at base-pair resolution via the DER Finder approach
This package provides functions for annotation-agnostic differential expression analysis of RNA-seq data. Two implementations of the DER Finder approach are included in this package: (1) single base-level F-statistics and (2) DER identification at the expressed regions-level. The DER Finder approach can also be used to identify differentially bounded ChIP-seq peaks.
Maintained by Leonardo Collado-Torres. Last updated 3 months ago.
differentialexpressionsequencingrnaseqchipseqdifferentialpeakcallingsoftwareimmunooncologycoverageannotation-agnosticbioconductorderfinder
5.4 match 42 stars 10.03 score 78 scripts 6 dependentswjbraun
CC:Control Charts
Tools for creating and visualizing statistical process control charts. Control charts are used for monitoring measurement processes, such as those occurring in manufacturing. The objective is to monitor the history of such processes and flag outlying measurements: out-of-control signals. Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive discussion of the methodology.
Maintained by W.John Braun. Last updated 6 years ago.
19.7 match 2.73 score 54 scriptsd-score
dscore:D-Score for Child Development
The D-score summarizes the child's performance on a set of milestones into a single number. The package implements four Rasch model keys to convert milestone scores into a D-score. It provides tools to calculate the D-score and its precision from the child's milestone scores, to convert the D-score into the Development-for-Age Z-score (DAZ) using age-conditional references, and to map milestone names into a generic 9-position item naming convention.
Maintained by Stef van Buuren. Last updated 7 months ago.
child-developmentd-scoredazdevelopmental-trajectoriesgrowth-chartsrasch-modelcpp
7.5 match 8 stars 6.89 score 40 scriptstriadsou
RcmdrPlugin.KMggplot2:R Commander Plug-in for Data Visualization with 'ggplot2'
A GUI front-end for 'ggplot2' supports Kaplan-Meier plot, histogram, Q-Q plot, box plot, errorbar plot, scatter plot, line chart, pie chart, bar chart, contour plot, and distribution plot.
Maintained by Triad sou.. Last updated 6 years ago.
15.9 match 3.18 score 8 scriptsbioc
MSstatsQC:Longitudinal system suitability monitoring and quality control for proteomic experiments
MSstatsQC is an R package which provides longitudinal system suitability monitoring and quality control tools for proteomic experiments.
Maintained by Eralp Dogu. Last updated 5 months ago.
softwarequalitycontrolproteomicsmassspectrometry
11.3 match 4.48 score 7 scripts 1 dependentskuan-cheng-da
EATME:EWMA-p control charts with correction of measurement error
The package EATME, refered to EWMA with Adjustments To Measuremeant Error, aims to address measurement error effects when constructing EWMA-p control charts. The method primarily focuses on binary random variables, but it can be applied to any continuous random variables by using sign statistic to transform them to discrete ones. With the correction of measurement error effects, we can obtain the corrected control limits of EWMA-p control chart and reasonably adjusted EWMA-p control charts.
Maintained by Cheng-Kuan Lin. Last updated 10 months ago.
15.9 match 3.18 score 1 scriptsblmayer
asciichartr:Lightweight ASCII Line Graphs
Create ASCII line graphs of a time series directly on your terminal in an easy way. There are some configurations you can add to make the plot the way you like. This project was inspired by the original 'asciichart' package by Igor Kroitor.
Maintained by Brian. Last updated 5 years ago.
13.8 match 7 stars 3.54 scorehongyuanjia
ggpsychro:A 'ggplot2' Extension for Making Pyschrometric Charts
A 'ggplot2' extension for making pyschrometric charts.
Maintained by Hongyuan Jia. Last updated 4 years ago.
ggplot-extensionggplot2psychrometricpsychrometric-chart
16.5 match 15 stars 2.88 score 2 scriptsvitomuggeo
quantregGrowth:Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts
Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.
Maintained by Vito M. R. Muggeo. Last updated 10 months ago.
16.8 match 1 stars 2.82 score 22 scripts 1 dependentsdgerbing
lessR:Less Code, More Results
Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Maintained by David W. Gerbing. Last updated 1 months ago.
6.3 match 6 stars 7.47 score 394 scripts 3 dependentsdppalomar
portfolioBacktest:Automated Backtesting of Portfolios over Multiple Datasets
Automated backtesting of multiple portfolios over multiple datasets of stock prices in a rolling-window fashion. Intended for researchers and practitioners to backtest a set of different portfolios, as well as by a course instructor to assess the students in their portfolio design in a fully automated and convenient manner, with results conveniently formatted in tables and plots. Each portfolio design is easily defined as a function that takes as input a window of the stock prices and outputs the portfolio weights. Multiple portfolios can be easily specified as a list of functions or as files in a folder. Multiple datasets can be conveniently extracted randomly from different markets, different time periods, and different subsets of the stock universe. The results can be later assessed and ranked with tables based on a number of performance criteria (e.g., expected return, volatility, Sharpe ratio, drawdown, turnover rate, return on investment, computational time, etc.), as well as plotted in a number of ways with nice barplots and boxplots.
Maintained by Daniel P. Palomar. Last updated 3 years ago.
backtestingfinancial-marketsportfolio
7.1 match 60 stars 6.60 score 66 scriptsfcharte
mldr.datasets:R Ultimate Multilabel Dataset Repository
Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.
Maintained by David Charte. Last updated 6 years ago.
9.9 match 8 stars 4.68 score 120 scriptsbioc
MetMashR:Metabolite Mashing with R
A package to merge, filter sort, organise and otherwise mash together metabolite annotation tables. Metabolite annotations can be imported from multiple sources (software) and combined using workflow steps based on S4 class templates derived from the `struct` package. Other modular workflow steps such as filtering, merging, splitting, normalisation and rest-api queries are included.
Maintained by Gavin Rhys Lloyd. Last updated 5 months ago.
8.0 match 2 stars 5.81 score 5 scriptsbiomodhub
biomod2:Ensemble Platform for Species Distribution Modeling
Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Maintained by Maya Gueguen. Last updated 5 days ago.
3.3 match 95 stars 13.88 score 536 scripts 7 dependentsasa12138
pcutils:Some Useful Functions for Statistics and Visualization
Offers a range of utilities and functions for everyday programming tasks. 1.Data Manipulation. Such as grouping and merging, column splitting, and character expansion. 2.File Handling. Read and convert files in popular formats. 3.Plotting Assistance. Helpful utilities for generating color palettes, validating color formats, and adding transparency. 4.Statistical Analysis. Includes functions for pairwise comparisons and multiple testing corrections, enabling perform statistical analyses with ease. 5.Graph Plotting, Provides efficient tools for creating doughnut plot and multi-layered doughnut plot; Venn diagrams, including traditional Venn diagrams, upset plots, and flower plots; Simplified functions for creating stacked bar plots, or a box plot with alphabets group for multiple comparison group.
Maintained by Chen Peng. Last updated 5 months ago.
6.9 match 22 stars 6.57 score 28 scripts 4 dependentsstla
graph3d:A Wrapper of the JavaScript Library 'vis-graph3d'
Create interactive visualization charts to draw data in three dimensional graphs. The graphs can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. Based on the 'vis.js' Graph3d module and the 'htmlwidgets' R package.
Maintained by Stรฉphane Laurent. Last updated 4 years ago.
12.8 match 4 stars 3.53 score 17 scriptsthewileylab
ReviewR:A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the 'OMOP' common data model as well as the 'MIMIC-III' data model. In addition, chart review information is captured and stored securely via the Shiny interface in a 'REDCap' (Research Electronic Data Capture) project using the 'REDCap' API. See the 'ReviewR' website for additional information, documentation, and examples.
Maintained by David Mayer. Last updated 2 years ago.
7.1 match 24 stars 6.33 score 6 scriptsyanyachen
MLmetrics:Machine Learning Evaluation Metrics
A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
Maintained by Yachen Yan. Last updated 11 months ago.
4.0 match 69 stars 11.09 score 2.2k scripts 20 dependentsinsileco
graphicsutils:Collection of graphics utilities
A collection of functions to easily customize graphics-based plots.
Maintained by Kevin Cazelles. Last updated 3 years ago.
11.3 match 4 stars 3.90 score 20 scriptscardiomoon
ggiraphExtra:Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'
Collection of functions to enhance 'ggplot2' and 'ggiraph'. Provides functions for exploratory plots. All plot can be a 'static' plot or an 'interactive' plot using 'ggiraph'.
Maintained by Keon-Woong Moon. Last updated 4 years ago.
4.9 match 48 stars 8.93 score 402 scripts 3 dependentsd-gomon
success:Survival Control Charts Estimation Software
Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.
Maintained by Daniel Gomon. Last updated 9 months ago.
11.8 match 1 stars 3.70 score 8 scriptszanidean
xmrr:Generate XMR Control Chart Data from Time-Series Data
XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.
Maintained by Alex Zanidean. Last updated 5 years ago.
9.2 match 7 stars 4.72 score 15 scriptsbioc
SGCP:SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks, it further incorporates a novel step that leverages Gene Ontology information in a semi-supervised clustering method that further improves the quality of the computed modules.
Maintained by Niloofar AghaieAbiane. Last updated 5 months ago.
geneexpressiongenesetenrichmentnetworkenrichmentsystemsbiologyclassificationclusteringdimensionreductiongraphandnetworkneuralnetworknetworkmrnamicroarrayrnaseqvisualizationbioinformaticsgenecoexpressionnetworkgraphsnetworkclusteringnetworksself-trainingsemi-supervised-learningunsupervised-learning
8.5 match 2 stars 5.12 score 44 scriptscran
GenderInfer:This is a Collection of Functions to Analyse Gender Differences
Implementation of functions, which combines binomial calculation and data visualisation, to analyse the differences in publishing authorship by gender described in Day et al. (2020) <doi:10.1039/C9SC04090K>. It should only be used when self-reported gender is unavailable.
Maintained by Rita Giordano. Last updated 3 years ago.
15.8 match 2.70 scorecran
svgtools:Manipulate SVG (Template) Files of Charts
The purpose of this package is to manipulate SVG files that are templates of charts the user wants to produce. In vector graphics one copes with x-/y-coordinates of elements (e.g. lines, rectangles, text). Their scale is often dependent on the program that is used to produce the graphics. In applied statistics one usually has numeric values on a fixed scale (e.g. percentage values between 0 and 100) to show in a chart. Basically, 'svgtools' transforms the statistical values into coordinates and widths/heights of the vector graphics. This is done by stackedBar() for bar charts, by linesSymbols() for charts with lines and/or symbols (dot markers) and scatterSymbols() for scatterplots.
Maintained by Christian Wimmer. Last updated 9 months ago.
20.8 match 2.00 scorespsanderson
healthyR:Hospital Data Analysis Workflow Tools
Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 9 months ago.
analysisanalyticshealthcarehealthyr
5.7 match 30 stars 7.27 score 103 scripts 1 dependentsgaboraszabo
sherlock:Graphical Displays for Structured Problem Solving and Diagnosis
Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
Maintained by Gabor Szabo. Last updated 4 months ago.
9.3 match 7 stars 4.42 score 15 scriptssmin95
smplot2:Create Standalone and Composite Plots in 'ggplot2' for Publications
Provides functions for creating and annotating a composite plot in 'ggplot2'. Offers background themes and shortcut plotting functions that produce figures that are appropriate for the format of scientific journals. Some methods are described in Min and Zhou (2021) <doi:10.3389/fgene.2021.802894>.
Maintained by Seung Hyun Min. Last updated 1 months ago.
easy-to-useggplot2scientific-visualizationvisualization
5.8 match 24 stars 7.08 score 288 scripts 1 dependentsveroniquerte
leaflet.minicharts:Mini Charts for Interactive Maps
Add and modify small charts on an interactive map created with package 'leaflet'. These charts can be used to represent at same time multiple variables on a single map.
Maintained by Veronique Bachelier. Last updated 4 years ago.
5.8 match 3 stars 7.06 score 214 scripts 5 dependentsmoodymudskipper
flow:View and Browse Code Using Flow Diagrams
Visualize as flow diagrams the logic of functions, expressions or scripts in a static way or when running a call, visualize the dependencies between functions or between modules in a shiny app, and more.
Maintained by Antoine Fabri. Last updated 3 months ago.
3.8 match 405 stars 10.84 score 61 scriptsbioc
structToolbox:Data processing & analysis tools for Metabolomics and other omics
An extensive set of data (pre-)processing and analysis methods and tools for metabolomics and other omics, with a strong emphasis on statistics and machine learning. This toolbox allows the user to build extensive and standardised workflows for data analysis. The methods and tools have been implemented using class-based templates provided by the struct (Statistics in R Using Class-based Templates) package. The toolbox includes pre-processing methods (e.g. signal drift and batch correction, normalisation, missing value imputation and scaling), univariate (e.g. ttest, various forms of ANOVA, KruskalโWallis test and more) and multivariate statistical methods (e.g. PCA and PLS, including cross-validation and permutation testing) as well as machine learning methods (e.g. Support Vector Machines). The STATistics Ontology (STATO) has been integrated and implemented to provide standardised definitions for the different methods, inputs and outputs.
Maintained by Gavin Rhys Lloyd. Last updated 25 days ago.
workflowstepmetabolomicsbioconductor-packagedimslc-msmachine-learningmultivariate-analysisstatisticsunivariate
6.5 match 10 stars 6.26 score 12 scriptsdankelley
plan:Tools for Project Planning
Supports the creation of 'burndown' charts and 'gantt' diagrams.
Maintained by Dan Kelley. Last updated 2 years ago.
5.6 match 33 stars 7.23 score 103 scriptsscholaempirica
reschola:The Schola Empirica Package
A collection of utilies, themes and templates for data analysis at Schola Empirica.
Maintained by Jan Netรญk. Last updated 5 months ago.
8.3 match 4 stars 4.83 score 14 scriptsnhs-r-community
NHSRplotthedots:Draw XmR Charts for NHSE/I 'Making Data Count' Programme
Provides tools for drawing Statistical Process Control (SPC) charts. This package supports the NHSE/I programme 'Making Data Count', and allows users to draw XmR charts, use change points and apply rules with summary indicators for when rules are breached.
Maintained by Christopher Reading. Last updated 1 months ago.
4.8 match 49 stars 8.35 score 58 scriptsinbo
effectclass:Classification and Visualisation of Effects
Classify effects by comparing the confidence intervals with thresholds.
Maintained by Thierry Onkelinx. Last updated 10 months ago.
7.5 match 6 stars 5.30 score 37 scripts 1 dependentsjthomasmock
gtExtras:Extending 'gt' for Beautiful HTML Tables
Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Maintained by Thomas Mock. Last updated 12 months ago.
data-sciencedata-visualizationdatascienceggplot2gtplotssparklinesparkline-graphssparklinestables
3.5 match 199 stars 11.45 score 2.4k scripts 3 dependentskzst
pbcc:Percentile-Based Control Chart
Design and implementation of Percentile-based Shewhart Control Charts for continuous data. Faraz (2019) <doi:10.1002/qre.2384>.
Maintained by Zsolt T. Kosztyan. Last updated 4 months ago.
12.5 match 3.18 score 2 scriptsfelixfan
FinCal:Time Value of Money, Time Series Analysis and Computational Finance
Package for time value of money calculation, time series analysis and computational finance.
Maintained by Felix Yanhui Fan. Last updated 8 years ago.
6.5 match 23 stars 6.02 score 203 scripts 1 dependentspmartr
pmartR:Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
Provides functionality for quality control processing and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data, as well as RNA-seq based count data and nuclear magnetic resonance (NMR) data. This includes data transformation, specification of groups that are to be compared against each other, filtering of features and/or samples, data normalization, data summarization (correlation, PCA), and statistical comparisons between defined groups. Implements methods described in: Webb-Robertson et al. (2014) <doi:10.1074/mcp.M113.030932>. Webb-Robertson et al. (2011) <doi:10.1002/pmic.201100078>. Matzke et al. (2011) <doi:10.1093/bioinformatics/btr479>. Matzke et al. (2013) <doi:10.1002/pmic.201200269>. Polpitiya et al. (2008) <doi:10.1093/bioinformatics/btn217>. Webb-Robertson et al. (2010) <doi:10.1021/pr1005247>.
Maintained by Lisa Bramer. Last updated 3 days ago.
data-summarizationlipidsmass-spectrometrymetabolitesmetabolomics-datapeptidesproteinsrna-seq-analysisopenblascpp
5.1 match 40 stars 7.69 score 144 scriptsericksuhel
XRSCC:Statistical Quality Control Simulation
This is a set of statistical quality control functions, that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
Maintained by Erick Marroquin. Last updated 3 months ago.
29.1 match 1.34 score 22 scriptsboxuancui
DataExplorer:Automate Data Exploration and Treatment
Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.
Maintained by Boxuan Cui. Last updated 1 years ago.
data-analysisdata-explorationdata-scienceedavisualization
3.5 match 519 stars 11.16 score 2.2k scriptsdkibalnikov
donutsk:Construct Advanced Donut Charts
Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.
Maintained by Dmitry Kibalnikov. Last updated 11 months ago.
7.5 match 6 stars 5.18 score 2 scriptstimelyportfolio
parcoords:'Htmlwidget' for 'd3.js' Parallel Coordinates Chart
Create interactive parallel coordinates charts with this 'htmlwidget' wrapper for 'd3.js' <https://github.com/BigFatDog/parcoords-es> {'parallel-coordinates'}.
Maintained by Kenton Russell. Last updated 3 years ago.
6.7 match 77 stars 5.73 score 141 scriptsgianmarcoalberti
CAinterprTools:Graphical Aid in Correspondence Analysis Interpretation and Significance Testings
Allows to plot a number of information related to the interpretation of Correspondence Analysis' results. It provides the facility to plot the contribution of rows and columns categories to the principal dimensions, the quality of points display on selected dimensions, the correlation of row and column categories to selected dimensions, etc. It also allows to assess which dimension(s) is important for the data structure interpretation by means of different statistics and tests. The package also offers the facility to plot the permuted distribution of the table total inertia as well as of the inertia accounted for by pairs of selected dimensions. Different facilities are also provided that aim to produce interpretation-oriented scatterplots. Reference: Alberti 2015 <doi:10.1016/j.softx.2015.07.001>.
Maintained by Gianmarco Alberti. Last updated 5 years ago.
15.1 match 2.52 score 33 scriptsr-tmap
tmap:Thematic Maps
Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Maintained by Martijn Tennekes. Last updated 4 days ago.
choropleth-mapsmapsspatialthematic-mapsvisualisation
2.3 match 880 stars 16.73 score 13k scripts 24 dependentsigraph
igraph:Network Analysis and Visualization
Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Maintained by Kirill Mรผller. Last updated 8 hours ago.
complex-networksgraph-algorithmsgraph-theorymathematicsnetwork-analysisnetwork-graphfortranlibxml2glpkopenblascpp
1.8 match 582 stars 21.11 score 31k scripts 1.9k dependentsipeadata-lab
ipeaplot:Add Ipea Editorial Standards to 'ggplot2' Graphics
Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Maintained by Pedro Ferreira. Last updated 18 days ago.
5.5 match 3 stars 6.49 score 17 scriptsbendeivide
leem:Laboratory of Teaching to Statistics and Mathematics
An educational package for the teaching of statistics and mathematics in primary and higher education. The objective is to assist in teaching/learning for both student study planning and teacher teaching strategies. The leem package will try to bring, in a simple and at the same time in-depth, knowledge of statistics and mathematics to everyone who wants to study these areas of knowledge. The main function of the package is 'leem' function.
Maintained by Ben Deivide. Last updated 17 days ago.
6.8 match 4 stars 5.33 score 152 scriptsvegawidget
vegawidget:'Htmlwidget' for 'Vega' and 'Vega-Lite'
'Vega' and 'Vega-Lite' parse text in 'JSON' notation to render chart-specifications into 'HTML'. This package is used to facilitate the rendering. It also provides a means to interact with signals, events, and datasets in a 'Vega' chart using 'JavaScript' or 'Shiny'.
Maintained by Ian Lyttle. Last updated 1 years ago.
4.4 match 68 stars 8.04 score 49 scripts 4 dependentsbiostats-dev
ggsurveillance:Tools for Outbreak Investigation/Infectious Disease Surveillance
Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Maintained by Alexander Bartel. Last updated 14 days ago.
epidemiologyinfectious-disease-surveillanceinfectious-diseasesoutbreaks
6.6 match 2 stars 5.31 scorebupaverse
processmapR:Construct Process Maps Using Event Data
Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Maintained by Gert Janssenswillen. Last updated 7 months ago.
4.5 match 9 stars 7.70 score 169 scripts 3 dependentspbosetti
adas.utils:Design of Experiments and Factorial Plans for the ADAS Course, University of Trento, Italy
A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses.
Maintained by Paolo Bosetti. Last updated 3 months ago.
8.3 match 4.18 score 6 scriptsbioc
ComplexHeatmap:Make Complex Heatmaps
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.
Maintained by Zuguang Gu. Last updated 5 months ago.
softwarevisualizationsequencingclusteringcomplex-heatmapsheatmap
2.0 match 1.3k stars 16.93 score 16k scripts 151 dependentsdewittpe
pedbp:Pediatric Blood Pressure
Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et.al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et.al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et.al. (2013) <doi:10.1542/peds.2012-1292>. The flowchart for selecting the informing data source comes from Martin et.al. (2022) <doi:10.1542/hpeds.2021-005998>.
Maintained by Peter DeWitt. Last updated 2 months ago.
blood-pressuregrowth-standardspediatriccpp
5.2 match 6 stars 6.43 score 45 scriptsjokergoo
spiralize:Visualize Data on Spirals
It visualizes data along an Archimedean spiral <https://en.wikipedia.org/wiki/Archimedean_spiral>, makes so-called spiral graph or spiral chart. It has two major advantages for visualization: 1. It is able to visualize data with very long axis with high resolution. 2. It is efficient for time series data to reveal periodic patterns.
Maintained by Zuguang Gu. Last updated 9 months ago.
4.3 match 148 stars 7.67 score 35 scripts 3 dependentsstefvanbuuren
AGD:Analysis of Growth Data
Tools for the analysis of growth data: to extract an LMS table from a gamlss object, to calculate the standard deviation scores and its inverse, and to superpose two wormplots from different models. The package contains a some varieties of reference tables, especially for The Netherlands.
Maintained by Stef van Buuren. Last updated 11 months ago.
anthropometrycdcdutchgrowthgrowth-chartslmswhoz-score
7.5 match 1 stars 4.38 score 48 scriptsmodeloriented
auditor:Model Audit - Verification, Validation, and Error Analysis
Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Maintained by Alicja Gosiewska. Last updated 1 years ago.
classificationerror-analysisexplainable-artificial-intelligencemachine-learningmodel-validationregression-modelsresidualsxai
3.8 match 58 stars 8.76 score 94 scripts 2 dependentshughparsonage
waterfalls:Create Waterfall Charts using 'ggplot2' Simply
A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
Maintained by Hugh Parsonage. Last updated 1 years ago.
5.7 match 14 stars 5.74 score 79 scriptsbolus123
PH1XBAR:Phase I Shewhart X-Bar Chart
The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for the basic Shewhart, the variance components and the ARMA models in R for subgrouped and individual data. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>, and Yao et al. (2023) <doi: 10.1080/00224065.2022.2139783>.
Maintained by Yuhui Yao. Last updated 10 months ago.
11.5 match 1 stars 2.70 score 1 scriptsbioc
extraChIPs:Additional functions for working with ChIP-Seq data
This package builds on existing tools and adds some simple but extremely useful capabilities for working wth ChIP-Seq data. The focus is on detecting differential binding windows/regions. One set of functions focusses on set-operations retaining mcols for GRanges objects, whilst another group of functions are to aid visualisation of results. Coercion to tibble objects is also implemented.
Maintained by Stevie Pederson. Last updated 16 days ago.
4.6 match 7 stars 6.67 score 25 scriptsdavidgohel
flextable:Functions for Tabular Reporting
Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Maintained by David Gohel. Last updated 1 months ago.
docxhtml5ms-office-documentsrmarkdowntable
1.8 match 583 stars 17.04 score 7.3k scripts 119 dependentsegeulgen
pathfindR:Enrichment Analysis Utilizing Active Subnetworks
Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR': An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks. Front. Genet. <doi:10.3389/fgene.2019.00858>.
Maintained by Ege Ulgen. Last updated 27 days ago.
active-subnetworksenrichmentpathwaypathway-enrichment-analysissubnetwork
3.0 match 186 stars 10.13 score 138 scriptscran
rlc:Create Interactive Linked Charts with Minimal Code
An easy-to-use tool to employ interactivity in every-day exploratory analysis. It contains a collection of most commonly used types of charts (such as scatter plots, line plots, heatmaps, bar charts), which can be linked to each other or to other interactive elements with just few lines of code.
Maintained by Svetlana Ovchinnikova. Last updated 1 years ago.
17.8 match 1.70 scoretrevorld
ggpattern:'ggplot2' Pattern Geoms
Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Maintained by Trevor L. Davis. Last updated 2 months ago.
2.5 match 368 stars 12.33 score 1.7k scripts 3 dependentssidiropoulos
sinaplot:An Enhanced Chart for Simple and Truthful Representation of Single Observations over Multiple Classes
The sinaplot is a data visualization chart suitable for plotting any single variable in a multiclass data set. It is an enhanced jitter strip chart, where the width of the jitter is controlled by the density distribution of the data within each class.
Maintained by Nikos Sidiropoulos. Last updated 8 years ago.
6.3 match 2 stars 4.76 score 57 scriptsrsquaredacademy
rfm:Recency, Frequency and Monetary Value Analysis
Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a 'shiny' app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Maintained by Aravind Hebbali. Last updated 1 years ago.
customer-analyticscustomer-segmentationrfm-analysissegmentation
4.5 match 62 stars 6.62 score 94 scriptsappliedstat
weibullness:Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations. For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).
Maintained by Chanseok Park. Last updated 1 years ago.
control-chartgoodness-of-fitr-languageweibull
7.5 match 2 stars 3.98 score 32 scripts 1 dependentschandlerxiandeyang
CleaningValidation:Cleaning Validation Functions for Pharmaceutical Cleaning Process
Provides essential Cleaning Validation functions for complying with pharmaceutical cleaning process regulatory standards. The package includes non-parametric methods to analyze drug active-ingredient residue (DAR), cleaning agent residue (CAR), and microbial colonies (Mic) for non-Poisson distributions. Additionally, Poisson methods are provided for Mic analysis when Mic data follow a Poisson distribution.
Maintained by Xiande Yang. Last updated 10 months ago.
10.9 match 2.70 scoreaftonsteps
ggalignment:Plots 'D&D'-Style Alignment Charts
'D&D' alignment charts show 9 boxes with values for good through evil and values for chaotic through lawful. This package easily creates these alignment charts from user-provided image paths and alignment values.
Maintained by Afton Coombs. Last updated 15 days ago.
5.5 match 10 stars 5.30 score 6 scriptsguyabel
fanplot:Visualisation of Sequential Probability Distributions Using Fan Charts
Visualise sequential distributions using a range of plotting styles. Sequential distribution data can be input as either simulations or values corresponding to percentiles over time. Plots are added to existing graphic devices using the fan function. Users can choose from four different styles, including fan chart type plots, where a set of coloured polygon, with shadings corresponding to the percentile values are layered to represent different uncertainty levels. Full details in R Journal article; Abel (2015) <doi:10.32614/RJ-2015-002>.
Maintained by Guy J. Abel. Last updated 3 years ago.
data-visualizationdatavizfanchartuncertainty-visualisation
5.1 match 5 stars 5.67 score 71 scripts 6 dependentstheeliteanalyst
Riex:IEX Stocks and Market Data
Retrieves efficiently and reliably Investors Exchange ('IEX') stock and market data using 'IEX Cloud API'. The platform is offered by Investors Exchange Group (IEX Group). Main goal is to leverage 'R' capabilities including existing packages to effectively provide financial and statistical analysis as well as visualization in support of fact-based decisions. In addition, continuously improve and enhance 'Riex' by applying best practices and being in tune with users' feedback and requirements. Please, make sure to review and acknowledge Investors Exchange Group (IEX Group) terms and conditions before using 'Riex' (<https://iexcloud.io/terms/>).
Maintained by Myriam Ibrahim. Last updated 4 years ago.
financefinancial-analysisfinancial-dataiexiex-apiiexcloud
6.1 match 9 stars 4.69 score 11 scriptsmyaseen208
qccrs:Quality Control Charts under Repetitive Sampling
Functions to calculate Average Sample Numbers (ASN), Average Run Length (ARL1) and value of k, k1 and k2 for quality control charts under repetitive sampling as given in Aslam et al. (2014) (<DOI:10.7232/iems.2014.13.1.101>).
Maintained by Muhammad Yaseen. Last updated 6 years ago.
10.5 match 2.70 score 3 scriptsalexym1
fusionchartsR:Embedding FusionCharts in R
FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.
Maintained by Alex Yahiaoui Martinez. Last updated 3 months ago.
6.4 match 6 stars 4.40 score 42 scriptsminatonakazawa
fmsb:Functions for Medical Statistics Book with some Demographic Data
Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Maintained by Minato Nakazawa. Last updated 1 years ago.
3.6 match 3 stars 7.74 score 1.9k scripts 23 dependentsteachinglab
tlShiny:Supplies essential functions to Teaching Lab dashboards
A bunch of random functions I use in developing dashboards Needs to vastly reduce the number of dependencies at the moment.
Maintained by Duncan Gates. Last updated 12 days ago.
9.1 match 3.04 scoretidy-intelligence
owidapi:Access the Our World in Data Chart API
Retrieve data from the Our World in Data (OWID) Chart API <https://docs.owid.io/projects/etl/api/>. OWID provides public access to more than 5,000 charts focusing on global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality.
Maintained by Christoph Scheuch. Last updated 13 days ago.
7.3 match 6 stars 3.78 scorejohnmackintosh
cusumcharter:Easier CUSUM Control Charts
Create CUSUM (cumulative sum) statistics from a vector or dataframe. Also create single or faceted CUSUM control charts, with or without control limits. Accepts vector, dataframe, tibble or data.table inputs.
Maintained by John MacKintosh. Last updated 4 months ago.
cusumggplot2health-informaticshealthcarequality-improvementrdatatablestatistical-process-control
5.4 match 27 stars 5.13 score 9 scriptscran
Markovchart:Markov Chain-Based Cost-Optimal Control Charts
Functions for cost-optimal control charts with a focus on health care applications. Compared to assumptions in traditional control chart theory, here, we allow random shift sizes, random repair and random sampling times. The package focuses on X-bar charts with a sample size of 1 (representing the monitoring of a single patient at a time). The methods are described in Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019) <doi:10.1002/qre.2518> and Dobi and Zempleni (2019) <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.
Maintained by Balazs Dobi. Last updated 3 years ago.
13.8 match 2.00 scoresmouksassi
coveffectsplot:Produce Forest Plots to Visualize Covariate Effects
Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
Maintained by Samer Mouksassi. Last updated 1 months ago.
3.5 match 32 stars 7.86 score 40 scriptssportsdataverse
wehoop:Access Women's Basketball Play by Play Data
A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.
Maintained by Saiem Gilani. Last updated 8 months ago.
college-basketballespnespn-statsncaancaa-basketballprofessional-basketball-datasportsdataversewnbawnba-playerswnba-statswomens-basketball
5.1 match 28 stars 5.36 score 54 scriptsaphalo
ggspectra:Extensions to 'ggplot2' for Radiation Spectra
Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Maintained by Pedro J. Aphalo. Last updated 2 days ago.
datavizggplot2-autoplotggplot2-enhancementesggplot2-geomsggplot2-scalesggplot2-statslightr4photobiology-suiteradiationspectra
3.4 match 5 stars 8.09 score 390 scripts 1 dependentsbioc
cfDNAPro:cfDNAPro extracts and Visualises biological features from whole genome sequencing data of cell-free DNA
cfDNA fragments carry important features for building cancer sample classification ML models, such as fragment size, and fragment end motif etc. Analyzing and visualizing fragment size metrics, as well as other biological features in a curated, standardized, scalable, well-documented, and reproducible way might be time intensive. This package intends to resolve these problems and simplify the process. It offers two sets of functions for cfDNA feature characterization and visualization.
Maintained by Haichao Wang. Last updated 5 months ago.
visualizationsequencingwholegenomebioinformaticscancer-genomicscancer-researchcell-free-dnaearly-detectiongenomics-visualizationliquid-biopsyswgswhole-genome-sequencing
4.5 match 28 stars 6.04 score 13 scriptsmvogel78
childsds:Data and Methods Around Reference Values in Pediatrics
Calculation of standard deviation scores and percentiles adduced from different standards (WHO, UK, Germany, Italy, China, etc). Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. See package documentation for full list.
Maintained by Mandy Vogel. Last updated 2 months ago.
9.6 match 2.83 score 51 scriptsnguyennico
planr:Tools for Supply Chain Management, Demand and Supply Planning
Perform flexible and quick calculations for Demand and Supply Planning, such as projected inventories and coverages, as well as replenishment plan. For any time bucket, daily, weekly or monthly, and any granularity level, product or group of products.
Maintained by Nicolas Nguyen. Last updated 20 days ago.
3.8 match 43 stars 7.01 score 12 scriptshneth
riskyr:Rendering Risk Literacy more Transparent
Risk-related information (like the prevalence of conditions, the sensitivity and specificity of diagnostic tests, or the effectiveness of interventions or treatments) can be expressed in terms of frequencies or probabilities. By providing a toolbox of corresponding metrics and representations, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Adopting multiple complementary perspectives provides insights into the interplay between key parameters and renders teaching and training programs on risk literacy more transparent.
Maintained by Hansjoerg Neth. Last updated 10 months ago.
2x2-matrixbayesian-inferencecontingency-tablerepresentationriskrisk-literacyvisualization
3.5 match 19 stars 7.36 score 80 scriptsdavidsjoberg
ggbump:Bump Chart and Sigmoid Curves
A geom for ggplot to create bump plots. Can be good to use for showing rank over time.
Maintained by David Sjoberg. Last updated 2 years ago.
3.1 match 541 stars 8.30 score 408 scripts 3 dependentsaestears
plantTracker:Extract Demographic and Competition Data from Fine-Scale Maps
Extracts growth, survival, and local neighborhood density information from repeated, fine-scale maps of organism occurrence. Further information about this package can be found in our journal article, "plantTracker: An R package to translate maps of plant occurrence into demographic data" published in 2022 in Methods in Ecology and Evolution (Stears, et al., 2022) <doi:10.1111/2041-210X.13950>.
Maintained by Alice Stears. Last updated 2 years ago.
5.0 match 8 stars 5.18 score 19 scriptscran
textreg:n-Gram Text Regression, aka Concise Comparative Summarization
Function for sparse regression on raw text, regressing a labeling vector onto a feature space consisting of all possible phrases.
Maintained by Luke Miratrix. Last updated 6 years ago.
7.9 match 1 stars 3.26 scorejefworks-lab
scatterbar:Scattered Stacked Bar Chart Plots
Provides a powerful and flexible tool for visualizing proportional data across spatially resolved contexts. By combining the concepts of scatter plots and stacked bar charts, `scatterbar` allows users to create scattered bar chart plots, which effectively display the proportions of different categories at each (x, y) location. This visualization is particularly useful for applications where understanding the distribution of categories across spatial coordinates is essential. This package features automatic determination of optimal scaling factors based on data, customizable scaling and padding options for both x and y axes, flexibility to specify custom colors for each category, options to customize the legend title, and integration with `ggplot2` for robust and high-quality visualizations. For more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.
Maintained by Dee Velazquez. Last updated 14 days ago.
data-visualizationspatial-analysisspatial-data-analysisspatial-transcriptomics
5.5 match 6 stars 4.65 score 15 scriptsbioc
shiny.gosling:A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization for R and Shiny
A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization. http://gosling-lang.org/. This R package is based on gosling.js. It uses R functions to create gosling plots that could be embedded onto R Shiny apps.
Maintained by Appsilon. Last updated 5 months ago.
shinyappsgeneticsvisualization
4.2 match 6.08 score 53 scripts 1 dependentsframverse
framrsquared:FRAM Database Interface
A convenient tool for interfacing with FRAM access databases in R environments.
Maintained by Ty Garber. Last updated 2 months ago.
4.9 match 6 stars 5.06 score 9 scriptsvosonlab
VOSONDash:User Interface for Collecting and Analysing Social Networks
A 'Shiny' application for the interactive visualisation and analysis of networks that also provides a web interface for collecting social media data using 'vosonSML'.
Maintained by Bryan Gertzel. Last updated 2 years ago.
r-shinyrstudioshinysocial-network-analysisvoson
5.5 match 56 stars 4.45 score 6 scriptscefet-rj-dal
daltoolbox:Leveraging Experiment Lines to Data Analytics
The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Maintained by Eduardo Ogasawara. Last updated 1 months ago.
3.7 match 1 stars 6.65 score 536 scripts 4 dependentscraig-pal
activPAL:Advanced Processing and Chart Generation from activPAL Events Files
Contains functions to generate pre-defined summary statistics from activPAL events files <http:www.palt.com>. The package also contains functions to produce informative graphics that visualise physical activity behaviour and trends. This includes generating graphs that align physical activity behaviour with additional time based observations described by other data sets, such as sleep diaries and continuous glucose monitoring data.
Maintained by Craig Speirs. Last updated 6 years ago.
11.8 match 2.04 score 11 scriptslgnbhl
xlcharts:Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
Maintained by Felix Luginbuhl. Last updated 11 days ago.
5.4 match 12 stars 4.48 score 4 scriptsncss-tech
aqp:Algorithms for Quantitative Pedology
The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an important role in routine data analysis within the USDA-NRCS Soil Science Division. The AQP suite of R packages offer a convenient platform for bridging the gap between pedometric theory and practice.
Maintained by Dylan Beaudette. Last updated 29 days ago.
digital-soil-mappingncss-technrcspedologypedometricssoilsoil-surveyusda
2.0 match 55 stars 11.77 score 1.2k scripts 2 dependentscran
mc2d:Tools for Two-Dimensional Monte-Carlo Simulations
A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).
Maintained by Regis Pouillot. Last updated 9 months ago.
3.7 match 1 stars 6.28 score 16 dependentsr-stata
hpackedbubble:Create Split Packed Bubble Charts
By binding R functions and the 'Highcharts' <http://www.highcharts.com/> charting library, 'hpackedbubble' package provides a simple way to draw split packed bubble charts.
Maintained by Zhenxing Cheng. Last updated 6 years ago.
10.6 match 2.18 score 15 scripts