TOC

  • multid: Multivariate Difference Between Two Groups
  • simpr: Flexible 'Tidyverse'-Friendly Simulations
  • ggfortify: Data Visualization Tools for Statistical Analysis Results
  • MVTests: Multivariate Hypothesis Tests
  • esquisse: Explore and Visualize Your Data Interactivelly
  • plfMA: A GUI to View, Design and Export Various Graphs of Data
  • timevis: Create Interactive Timeline Visualizations in R
  • datasets.load: Interfaces for Loading Datasets
  • plsVarSel: Variable Selection in Partial Least Squares
  • RcmdrPlugin.EZR: R Commander Plug-in for the EZR (Easy R) Package
  • RcmdrPlugin.NMBU: R Commander Plug-in for University Level Applied Statistics

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

multid: Multivariate Difference Between Two Groups

mytags: #multivariate #test

links
[cran package link] https://cran.r-project.org/package=multid
[github link] https://github.com/vjilmari/multid/

description from the author/vignette

Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) doi:10.1007/s11109-021-09681-2 and Ilmarinen et al. (2021) doi:10.31234/osf.io/j59bs. mynotes

simpr: Flexible 'Tidyverse'-Friendly Simulations

mytags: #simulation #tidyverse

links
[cran package link] https://cran.r-project.org/package=simpr
[cran vignette link] https://cran.r-project.org/web/packages/simpr/vignettes/simpr.html
[github link] https://statisfactions.github.io/simpr/

description from the author/vignette

A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.

mynotes

ggfortify: Data Visualization Tools for Statistical Analysis Results

mytags: #statistics #datavis

links
[cran package link] https://cran.r-project.org/web/packages/ggfortify/index.html
[cran vignette link] https://cran.r-project.org/web/packages/ggfortify/vignettes/basics.html
[github link] https://github.com/sinhrks/ggfortify

description from the author/vignette

Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.

mynotes

MVTests: Multivariate Hypothesis Tests

mytags: #statistics #test #multivariate

links
[cran package link] https://cran.r-project.org/package=MVTests

description from the author/vignette

Multivariate hypothesis tests and the confidence intervals. It can be used to test the hypothesizes about mean vector or vectors (one-sample, two independent samples, paired samples), covariance matrix (one or more matrices), and the correlation matrix. Moreover, it can be used for robust Hotelling T^2 test at one sample case in high dimensional data. For this package, we have benefited from the studies Rencher (2003), Nel and Merwe (1986) doi:10.1080/03610928608829342, Tatlidil (1996), Tsagris (2014), Villasenor Alva and Estrada (2009) doi:10.1080/03610920802474465. mynotes

esquisse: Explore and Visualize Your Data Interactivelly

mytags: #visualization #interactive

links
[cran package link] https://cran.r-project.org/package=esquisse
[cran vignette link] https://cran.r-project.org/web/packages/esquisse/vignettes/get-started.html
[github link] https://dreamrs.github.io/esquisse/

description from the author/vignette

A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.

mynotes

plfMA: A GUI to View, Design and Export Various Graphs of Data

mytags: #visualization #GUI

links
[cran package link] http://cran.stat.unipd.it/package=plfMA

description from the author/vignette

Provides a graphical user interface for viewing and designing various types of graphs of the data. The graphs can be saved in different formats of an image.

mynotes

timevis: Create Interactive Timeline Visualizations in R

mytags: #visualization #interactive

links
[cran package link] https://cran.r-project.org/package=timevis
[cran vignette link] https://cran.r-project.org/web/packages/timevis/vignettes/timevis.html

description from the author/vignette

Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.

mynotes

datasets.load: Interfaces for Loading Datasets

mytags: #visualization #interactive

links
[cran package link] https://cran.r-project.org/packages/datasets.load/index.html [cran vignette link] [github link]

description from the author/vignette

Visual interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.

mynotes

plsVarSel: Variable Selection in Partial Least Squares

mytags: #pls #chemometrics

links
[cran package link] https://cran.r-project.org/packages=plsVarSel
[cran vignette link] https://github.com/khliland/plsVarSel/

description from the author/vignette

Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.

mynotes

RcmdrPlugin.EZR: R Commander Plug-in for the EZR (Easy R) Package

mytags: #statistics #ROC

links
[cran package link] https://cran.r-project.org/package=RcmdrPlugin.EZR/index.html
[cran vignette link] https://github.com/khliland/plsVarSel/
[other links] https://www.nature.com/articles/bmt2012244.pdf
https://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmedEN.html

description from the author/vignette

EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN:978-4-498-10918-6, Nankodo, ISBN: 978-4-524-26158-1, Ohmsha, ISBN: 978-4-274-22632-8), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 3,000 scientific articles.

mynotes

RcmdrPlugin.NMBU: R Commander Plug-in for University Level Applied Statistics

mytags: #PLS #LDA #QDA

links
[cran package link] https://cran.r-project.org/package=RcmdrPlugin.NMBU
[cran vignette link] https://github.com/khliland/RcmdrPlugin.NMBU/issues/

description from the author/vignette

An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.

mynotes