Introduction to the viridis color maps
Introduction to the viridis color maps Bob Rudis, Noam Ross and Simon Garnier 2024-01-28 tl;dr Use the color scales in this package to make plots that are pretty, better represent your data, easier to read by those with colorblindness, and print well in gray scale. Install viridis like any R package: install.packages("viridis") library(viridis) For base plots, use the viridis() function to generat
Plotting PCA (Principal Component Analysis)
This document explains PCA, clustering, LFDA and MDS related plotting using {ggplot2} and {ggfortify}. Plotting PCA (Principal Component Analysis) {ggfortify} let {ggplot2} know how to interpret PCA objects. After loading {ggfortify}, you can use ggplot2::autoplot function for stats::prcomp and stats::princomp objects. library(ggfortify) df <- iris[1:4] pca_res <- prcomp(df, scale. = TRUE) autoplo
Alluvial Plots in ggplot2
Alluvial Plots in ggplot2 Jason Cory Brunson 2023-02-13 The {ggalluvial} package is a {ggplot2} extension for producing alluvial plots in a {tidyverse} framework. The design and functionality were originally inspired by the {alluvial} package and have benefitted from the feedback of many users. This vignette defines the essential components of alluvial plots as used in the naming schemes and docum
CRAN: Package dbplyr
dbplyr: A 'dplyr' Back End for Databases A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Databases
As well as working with local in-memory data like data frames and data tables, dplyr also works with remote on-disk data stored in databases. Generally, if your data fits in memory there is no advantage to putting it in a database: it will only be slower and more hassle. The reason you’d want to use dplyr with a database is because either your data is already in a database (and you don’t want to w
CRAN: Package plotrix
Jim Lemon, Ben Bolker, Sander Oom, Eduardo Klein, Barry Rowlingson, Hadley Wickham, Anupam Tyagi, Olivier Eterradossi, Gabor Grothendieck, Michael Toews, John Kane, Rolf Turner, Carl Witthoft, Julian Stander, Thomas Petzoldt, Remko Duursma, Elisa Biancotto, Ofir Levy, Christophe Dutang, Peter Solymos, Robby Engelmann, Michael Hecker, Felix Steinbeck, Hans Borchers, Henrik Singmann, Ted Toal, Derek
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Simple Memory Profiling in R
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Mosaic plots with ggplot2
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