Showing 22 of total 22 results (show query)
stefan-schroedl
plotluck:'ggplot2' Version of "I'm Feeling Lucky!"
Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.
Maintained by Stefan Schroedl. Last updated 2 years ago.
automaticbox-plotboxplotclevelanddata-visualizationdensity-plotggplot2heatmaphexbinplotscatterscatter-plotspine-plotviolin-plotvisualization
11.0 match 52 stars 5.96 score 35 scripts
jrnold
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
3.5 match 1.3k stars 16.17 score 40k scripts 102 dependents
openintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.
4.5 match 240 stars 11.39 score 6.0k scripts
dliang-cbl
ltsk:Local Time Space Kriging
Implements local spatial and local spatiotemporal Kriging based on local spatial and local spatiotemporal variograms, respectively. The method is documented in Kumar et al (2013) <https://www.nature.com/articles/jes201352)>.
Maintained by Dong Liang. Last updated 3 years ago.
12.6 match 2.81 score 13 scripts
kassambara
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.
2.0 match 1.2k stars 16.68 score 65k scripts 409 dependents
mpru
ggcleveland:Implementation of Plots from Cleveland's Visualizing Data Book
William S. Cleveland's book 'Visualizing Data' is a classic piece of literature on Exploratory Data Analysis. Although it was written several decades ago, its content is still relevant as it proposes several tools which are useful to discover patterns and relationships among the data under study, and also to assess the goodness of fit of a model. This package provides functions to produce the 'ggplot2' versions of the visualization tools described in this book and is thought to be used in the context of courses on Exploratory Data Analysis.
Maintained by Marcos Prunello. Last updated 3 years ago.
6.3 match 9 stars 4.83 score 15 scripts
georgekoliopanos
modgo:MOck Data GeneratiOn
Generation of mock data from a real dataset using rank normal inverse transformation.
Maintained by George Koliopanos. Last updated 9 months ago.
7.5 match 1 stars 4.00 score 3 scripts
cardiomoon
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.
3.1 match 48 stars 8.93 score 402 scripts 3 dependents
winvector
WVPlots:Common Plots for Analysis
Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Maintained by John Mount. Last updated 11 months ago.
3.2 match 85 stars 8.00 score 280 scripts
joblion
MixAll:Clustering and Classification using Model-Based Mixture Models
Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values.
Maintained by Serge Iovleff. Last updated 10 months ago.
7.0 match 3.29 score 97 scripts
lightbluetitan
usdatasets:A Comprehensive Collection of U.S. Datasets
Provides a diverse collection of U.S. datasets encompassing various fields such as crime, economics, education, finance, energy, healthcare, and more. It serves as a valuable resource for researchers and analysts seeking to perform in-depth analyses and derive insights from U.S.-specific data.
Maintained by Renzo Caceres Rossi. Last updated 5 months ago.
3.5 match 7 stars 5.99 score 141 scripts
bioc
matter:Out-of-core statistical computing and signal processing
Toolbox for larger-than-memory scientific computing and visualization, providing efficient out-of-core data structures using files or shared memory, for dense and sparse vectors, matrices, and arrays, with applications to nonuniformly sampled signals and images.
Maintained by Kylie A. Bemis. Last updated 3 months ago.
infrastructuredatarepresentationdataimportdimensionreductionpreprocessingcpp
2.0 match 57 stars 9.52 score 64 scripts 2 dependents
statmanrobin
Stat2Data:Datasets for Stat2
Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
Maintained by Robin Lock. Last updated 6 years ago.
3.6 match 5 stars 4.94 score 544 scripts
r-forge
R2MLwiN:Running 'MLwiN' from Within R
An R command interface to the 'MLwiN' multilevel modelling software package.
Maintained by Zhengzheng Zhang. Last updated 5 months ago.
3.3 match 5.35 score 125 scripts
mariarizzo
RbyExample:Data for the Book "R by Example"
Data for the examples and exercises in the book "R by Example". Jim Albert and Maria Rizzo (2012, ISBN 978-1-4614-1365-3).
Maintained by Maria Rizzo. Last updated 8 months ago.
3.8 match 2 stars 3.94 score 22 scripts
kwstat
agridat:Agricultural Datasets
Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Maintained by Kevin Wright. Last updated 29 days ago.
1.1 match 125 stars 11.02 score 1.7k scripts 2 dependents
joshwlambert
DAISIEprep:Extracts Phylogenetic Island Community Data from Phylogenetic Trees
Extracts colonisation and branching times of island species to be used for analysis in the R package 'DAISIE'. It uses phylogenetic and endemicity data to extract the separate island colonists and store them.
Maintained by Joshua W. Lambert. Last updated 1 months ago.
data-scienceisland-biogeographyphylogenetics
1.6 match 6 stars 6.78 score 24 scripts
cecilemercadier
satdad:Sensitivity Analysis Tools for Dependence and Asymptotic Dependence
Tools for analyzing tail dependence in any sample or in particular theoretical models. The package uses only theoretical and non parametric methods, without inference. The primary goals of the package are to provide: (a)symmetric multivariate extreme value models in any dimension; theoretical and empirical indices to order tail dependence; theoretical and empirical graphical methods to visualize tail dependence.
Maintained by Cécile Mercadier. Last updated 2 years ago.
3.5 match 2.00 score 2 scripts
inzightvit
iNZightTS:Time Series for 'iNZight'
Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
Maintained by Tom Elliott. Last updated 11 months ago.
0.8 match 1 stars 3.48 score 5 scripts
mrbcuda
stressr:Fetch and plot financial stress index and component data.
Forms queries to submit to the Cleveland Federal Reserve Bank web site's financial stress index data site. Provides query functions for both the composite stress index and the components data. By default the download includes daily time series data starting September 25, 1991. The functions return a class of either type easing or cfsi which contain a list of items related to the query and its graphical presentation. The list includes the time series data as an xts object. The package provides four lattice time series plots to render the time series data in a manner similar to the bank's own presentation.
Maintained by Matt Barry. Last updated 11 years ago.
0.5 match 9 stars 3.83 score 15 scripts