Showing 27 of total 27 results (show query)
stemangiola
tidyHeatmap:A Tidy Implementation of Heatmap
This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.
Maintained by Stefano Mangiola. Last updated 1 months ago.
assaydomaininfrastructurebrewercomplexheatmapcustom-palettedplyrgraphvizheatmapmtcarsplottingrstudioscaletibbletidytidy-data-frametidybulktidyverseviridis
10.0 match 335 stars 10.23 score 197 scripts 1 dependents
rolkra
explore:Simplifies Exploratory Data Analysis
Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Maintained by Roland Krasser. Last updated 3 months ago.
data-explorationdata-visualisationdecision-treesedarmarkdownshinytidy
8.8 match 228 stars 11.43 score 221 scripts 1 dependents
ropensci
drake:A Pipeline Toolkit for Reproducible Computation at Scale
A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Maintained by William Michael Landau. Last updated 3 months ago.
data-sciencedrakehigh-performance-computingmakefilepeer-reviewedpipelinereproducibilityreproducible-researchropensciworkflow
4.8 match 1.3k stars 11.49 score 1.7k scripts 1 dependents
danchaltiel
crosstable:Crosstables for Descriptive Analyses
Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
Maintained by Dan Chaltiel. Last updated 2 months ago.
descriptive-statisticsflextablefrequency-tablehtml-reportmswordofficer
5.3 match 116 stars 10.37 score 340 scripts
openanalytics
editbl:'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Maintained by Jasper Schelfhout. Last updated 1 months ago.
7.5 match 23 stars 6.52 score 12 scripts
funkyheatmap
funkyheatmap:Generating Funky Heatmaps for Data Frames
Allows generating heatmap-like visualisations for data frames. Funky heatmaps can be fine-tuned by providing annotations of the columns and rows, which allows assigning multiple palettes or geometries or grouping rows and columns together in categories. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Maintained by Robrecht Cannoodt. Last updated 1 months ago.
3.8 match 171 stars 8.37 score 76 scripts
vegawidget
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.
3.8 match 68 stars 8.04 score 49 scripts 4 dependents
eutwt
versus:Compare Data Frames
A toolset for interactively exploring the differences between two data frames.
Maintained by Ryan Dickerson. Last updated 9 months ago.
7.1 match 7 stars 4.02 score 4 scripts
stibu81
ibawds:Functions and Datasets for the Data Science Course at IBAW
A collection of useful functions and datasets for the Data Science Course at IBAW.
Maintained by Stefan Lanz. Last updated 9 days ago.
data-science-learningeducational-resources
5.4 match 2 stars 4.26 score 8 scripts
urswilke
datadaptor:Modify Labelled Data Sets With Excel Files
An R package to modify labelled data sets with commands in Excel files. The commands in this package allow to create new variables, and modify the labels of the variables, as well as the variables themselves. The goal is to provide an easy & concise syntax, and to allow for fast systematic data entry using Excel for advanced users. The commands work on the variables inside the data.frame environment (like e.g. inside dplyr verbs), thus providing an approach that might ease the use for people without in-depth programming experience.
Maintained by Urs Wilke. Last updated 27 days ago.
4.0 match 5.13 score 1 dependents
sabainter
SSVS:Functions for Stochastic Search Variable Selection (SSVS)
Functions for performing stochastic search variable selection (SSVS) for binary and continuous outcomes and visualizing the results. SSVS is a Bayesian variable selection method used to estimate the probability that individual predictors should be included in a regression model. Using MCMC estimation, the method samples thousands of regression models in order to characterize the model uncertainty regarding both the predictor set and the regression parameters. For details see Bainter, McCauley, Wager, and Losin (2020) Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain, Advances in Methods and Practices in Psychological Science 3(1), 66-80 <DOI:10.1177/2515245919885617>.
Maintained by Sierra Bainter. Last updated 1 months ago.
4.0 match 8 stars 5.05 score 14 scripts
erblast
easyalluvial:Generate Alluvial Plots with a Single Line of Code
Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The 'ggalluvial' package made a great job of translating that grammar into 'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.
Maintained by Bjoern Koneswarakantha. Last updated 1 years ago.
3.3 match 110 stars 6.13 score 81 scripts 1 dependents
kiangkiangkiang
ggESDA:Exploratory Symbolic Data Analysis with 'ggplot2'
Implements an extension of 'ggplot2' and visualizes the symbolic data with multiple plot which can be adjusted by more general and flexible input arguments. It also provides a function to transform the classical data to symbolic data by both clustering algorithm and customized method.
Maintained by Bo-Syue Jiang. Last updated 2 years ago.
4.0 match 21 stars 4.02 score 9 scripts
nbarrowman
vtree:Display Information About Nested Subsets of a Data Frame
A tool for calculating and drawing "variable trees". Variable trees display information about nested subsets of a data frame.
Maintained by Nick Barrowman. Last updated 1 days ago.
data-sciencedata-visualizationexploratory-data-analysisstatistics
2.0 match 76 stars 7.09 score 65 scripts
coolbutuseless
emphatic:Exploratory Analysis of Tabular Data using Colour Highlighting
Tools for exploratory analysis of tabular data using colour highlighting. Highlighting is displayed in any console supporting 'ANSI' colours, and can be converted to 'HTML', 'typst', 'latex' and 'SVG'. 'quarto' and 'rmarkdown' rendering are directly supported. It is also possible to add colour to regular expression matches and highlight differences between two arbitrary R objects.
Maintained by Mike Cheng. Last updated 3 months ago.
1.3 match 141 stars 7.55 score 12 scripts
mingzehuang
latentcor:Fast Computation of Latent Correlations for Mixed Data
The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017). For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <arXiv:1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>. The latter method uses multi-linear interpolation originally implemented in the R package <https://cran.r-project.org/package=chebpol>.
Maintained by Mingze Huang. Last updated 2 years ago.
data-analysisdata-miningdata-processingdata-sciencedata-structuresmachine-learningmixed-typesstatistics
1.3 match 16 stars 6.65 score 46 scripts 1 dependents
bioc
AnVILAz:R / Bioconductor Support for the AnVIL Azure Platform
The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVILAz package supports end-users and developers using the AnVIL platform in the Azure cloud. The package provides a programmatic interface to AnVIL resources, including workspaces, notebooks, tables, and workflows. The package also provides utilities for managing resources, including copying files to and from Azure Blob Storage, and creating shared access signatures (SAS) for secure access to Azure resources.
Maintained by Marcel Ramos. Last updated 5 months ago.
softwareinfrastructurethirdpartyclient
1.5 match 5.45 score 5 scripts
junhuili1017
StepReg:Stepwise Regression Analysis
Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types, incorporating popular selection strategies, and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. However, StepReg should not be used for statistical inference unless the variable selection process is explicitly accounted for, as it can compromise the validity of the results. This limitation does not apply when StepReg is used for prediction purposes. We validated StepReg's accuracy using public datasets within the SAS software environment. Additionally, StepReg features an interactive Shiny application to enhance usability and accessibility.
Maintained by Junhui Li. Last updated 16 days ago.
1.3 match 1 stars 6.52 score 34 scripts
tin900
vvauditor:Creates Assertion Tests
Offers a comprehensive set of assertion tests to help users validate the integrity of their data. These tests can be used to check for specific conditions or properties within a dataset and help ensure that data is accurate and reliable. The package is designed to make it easy to add quality control checks to data analysis workflows and to aid in identifying and correcting any errors or inconsistencies in data.
Maintained by Tomer Iwan. Last updated 1 months ago.
1.9 match 4.03 score 7 scripts
gdemin
maditr:Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.
Maintained by Gregory Demin. Last updated 4 months ago.
0.8 match 61 stars 8.98 score 248 scripts 7 dependents
techtonique
learningmachine:Machine Learning with Explanations and Uncertainty Quantification
Regression-based Machine Learning with explanations and uncertainty quantification.
Maintained by T. Moudiki. Last updated 4 months ago.
conformal-predictionmachine-learningmachine-learning-algorithmsmachinelearningstatistical-learninguncertainty-quantificationcpp
1.3 match 5 stars 5.57 score 21 scripts
cbhurley
PairViz:Visualization using Graph Traversal
Improving graphics by ameliorating order effects, using Eulerian tours and Hamiltonian decompositions of graphs. References for the methods presented here are C.B. Hurley and R.W. Oldford (2010) <doi:10.1198/jcgs.2010.09136> and C.B. Hurley and R.W. Oldford (2011) <doi:10.1007/s00180-011-0229-5>.
Maintained by Catherine Hurley. Last updated 3 years ago.
1.2 match 1 stars 5.75 score 42 scripts 3 dependents
nimble-dev
nimbleMacros:Macros Generating 'nimble' Code
Macros to generate 'nimble' code from a concise syntax. Included are macros for generating linear modeling code using a formula-based syntax and for building for() loops. For more details review the 'nimble' manual: <https://r-nimble.org/html_manual/cha-writing-models.html#subsec:macros>.
Maintained by Ken Kellner. Last updated 5 days ago.
1.3 match 4.98 score
cienciadedatos
datos:Traduce al Español Varios Conjuntos de Datos de Práctica
Provee una versión traducida de los siguientes conjuntos de datos: 'airlines', 'airports', 'AwardsManagers', 'babynames', 'Batting', 'credit_data', 'diamonds', 'faithful', 'fueleconomy', 'Fielding', 'flights', 'gapminder', 'gss_cat', 'iris', 'Managers', 'mpg', 'mtcars', 'atmos', 'palmerpenguins', 'People, 'Pitching', 'planes', 'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather', 'who'. English: It provides a Spanish translated version of the datasets listed above.
Maintained by Riva Quiroga. Last updated 1 years ago.
0.5 match 48 stars 8.12 score 354 scriptscienciadedatos
dados:Translate Datasets to Portuguese
Este pacote traduz os seguintes conjuntos de dados: 'airlines', 'airports', 'ames_raw', 'AwardsManagers', 'babynames', 'Batting', 'diamonds', 'faithful', 'fueleconomy', 'Fielding', 'flights', 'gapminder', 'gss_cat', 'iris', 'Managers', 'mpg', 'mtcars', 'atmos', 'penguins', 'People, 'Pitching', 'pixarfilms','planes', 'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather', 'who'. English: It provides a Portuguese translated version of the datasets listed above.
Maintained by Riva Quiroga. Last updated 7 months ago.
0.5 match 46 stars 7.13 score 266 scripts