TOC

  • eurodata: Fast and Easy Eurostat Data Import and Search
  • gdiff: Graphical Difference Testing
  • aplot: Decorate a 'ggplot' with Associated Information
  • SHT: Statistical Hypothesis Testing Toolbox
  • gghighlight: Highlight Lines and Points in 'ggplot2'
  • pdp: Partial Dependence Plots
  • contingencytables: Statistical Analysis of Contingency Tables
  • testDriveR: Teaching Data for Statistics and Data Science
  • vcd: Visualizing Categorical Data
  • gTestsMulti: New Graph-Based Multi-Sample Tests

Introduction

Each month I will describe the package that I've discovered or rediscovered and the ones that I've used the most of my time. I will start with the package used in my work and the the one that I would like to try/did not had time to use for work and also fun

Each card is organised as this

Name of the package: short description

mytags: #example tag

links
[cran package link]
[cran vignette link]
[github link]

description from the author/vignette

mynotes

eurodata: Fast and Easy Eurostat Data Import and Search

mytags: #statistics #data analysis links
[cran package link] https://CRAN.R-project.org/package=eurodata
[vignette link]
[github link] https://github.com/alekrutkowski/eurodata/

description from the author/vignette

Interface to Eurostat’s Bulk Download Facility with fast data.table-based import of data, labels, and metadata. On top of the core functionality, data search and data description/comparison functions are also provided.

mynotes

gdiff: Graphical Difference Testing

mytags: #plot #data analysis #comparison links
[cran package link] https://CRAN.R-project.org/package=gdiff
[vignette link]
[github link] https://github.com/pmur002/

description from the author/vignette

Functions for performing graphical difference testing. Differences are generated between raster images. Comparisons can be performed between different package versions and between different R versions.

mynotes

aplot: Decorate a 'ggplot' with Associated Information

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=aplot
[vignette link]
[github link] https://github.com/YuLab-SMU/aplot

description from the author/vignette

For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.

mynotes

SHT: Statistical Hypothesis Testing Toolbox

mytags: #statistics #data analysis #comparison links
[cran package link] https://CRAN.R-project.org/package=SHT
[vignette link]
[github link] https://github.com/kisungyou/SHT/issues

description from the author/vignette

We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) doi:10.1007/0-387-27605-X. mynotes

gghighlight: Highlight Lines and Points in 'ggplot2'

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=gghighlight
[vignette link] https://cran.r-project.org/web/packages/gghighlight/index.html#:~:text=Introduction%20to%20gghighlight
[github link] https://github.com/yutannihilation/gghighlight/

description from the author/vignette

Make it easier to explore data with highlights.

mynotes

pdp: Partial Dependence Plots

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=pdp
[vignette link] https://cran.r-project.org/web/packages/pdp/vignettes/pdp-approximate.pdf
[github link] https://github.com/yutannihilation/gghighlight/

description from the author/vignette

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

mynotes

contingencytables: Statistical Analysis of Contingency Tables

mytags: #plot #data analysis #ggplot links
[cran package link] https://contingencytables.com/
[vignette link]
[github link] https://github.com/ocbe-uio/contingencytables/issues

description from the author/vignette

Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

mynotes

contingencytables: Statistical Analysis of Contingency Tables

mytags: #plot #data analysis #ggplot links
[cran package link] https://contingencytables.com/
[vignette link]
[github link] https://github.com/ocbe-uio/contingencytables/issues

description from the author/vignette

Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

mynotes

testDriveR: Teaching Data for Statistics and Data Science

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=testDriveR
[vignette link]
[github link] https://github.com/chris-prener/testDriveR

description from the author/vignette

Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I used for teaching SOC 4015 / SOC 5050 at Saint Louis University (SLU). The package also contains an R Markdown template with the required formatting for assignments in my courses SOC 4015, SOC 4650, SOC 5050, and SOC 5650 at SLU.

mynotes

vcd: Visualizing Categorical Data

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=testDriveR
[vignette link] https://cran.r-project.org/web/packages/vcd/vignettes/residual-shadings.pdf
[github link]

description from the author/vignette

Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).

mynotes

gTestsMulti: New Graph-Based Multi-Sample Tests

mytags: #plot #data analysis #ggplot links
[cran package link] https://CRAN.R-project.org/package=gTestsMulti
[vignette link]
[github link]

description from the author/vignette

New multi-sample tests for testing whether multiple samples are from the same distribution. They work well particularly for high-dimensional data. Song, H. and Chen, H. (2022) arXiv:2205.13787. mynotes