From 19780da315742c16b47ca477530066ad7bc18941 Mon Sep 17 00:00:00 2001 From: Grant McDermott Date: Mon, 5 Feb 2024 22:48:47 -0800 Subject: [PATCH] Update README --- README.md | 62 ++++++++++++++------------- man/figures/README-quickstart2-1.png | Bin 413162 -> 190441 bytes man/figures/README-quickstart3-1.png | Bin 267752 -> 127395 bytes man/figures/README-quickstart4-1.png | Bin 345472 -> 160665 bytes man/figures/README-quickstart5-1.png | Bin 513164 -> 248677 bytes 5 files changed, 32 insertions(+), 30 deletions(-) diff --git a/README.md b/README.md index 1bcae364..a6834cae 100644 --- a/README.md +++ b/README.md @@ -1,31 +1,32 @@ -# plot2 + +# tinyplot [![CRAN -version](https://www.r-pkg.org/badges/version/plot2.png)](https://CRAN.R-project.org/package=plot2) +version](https://www.r-pkg.org/badges/version/tinyplot.png)](https://CRAN.R-project.org/package=tinyplot) [![R-universe status -badge](https://grantmcdermott.r-universe.dev/badges/plot2.png)](https://grantmcdermott.r-universe.dev) -[![R-CMD-check](https://github.com/grantmcdermott/plot2/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/grantmcdermott/plot2/actions/workflows/R-CMD-check.yaml) -[![Docs](https://img.shields.io/badge/docs-homepage-blue.svg)](https://grantmcdermott.com/plot2/index.html) +badge](https://grantmcdermott.r-universe.dev/badges/tinyplot.png)](https://grantmcdermott.r-universe.dev) +[![R-CMD-check](https://github.com/grantmcdermott/tinyplot/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/grantmcdermott/tinyplot/actions/workflows/R-CMD-check.yaml) +[![Docs](https://img.shields.io/badge/docs-homepage-blue.svg)](https://grantmcdermott.com/tinyplot/index.html) ## What A lightweight extension of the base R graphics system, with support for -automatic grouping, legends, facets and various other enhancements. +automatic grouping, legends, facets, and various other enhancements. -**plot2** is not yet on CRAN, but can be installed from R-universe. +**tinyplot** is not yet on CRAN, but can be installed from R-universe. ``` r -install.packages("plot2", repos = "https://grantmcdermott.r-universe.dev") +install.packages("tinyplot", repos = "https://grantmcdermott.r-universe.dev") ``` Our goal is to submit to CRAN within the first few months of 2024, once we have settled on some remaining design choices and features support. You can take a look at the [open -issues](https://github.com/grantmcdermott/plot2/issues) to see what’s +issues](https://github.com/grantmcdermott/tinyplot/issues) to see what’s currently under consideration. Please feel free to weigh on these if you have opinions. We want end users to have a say in determining the final product. @@ -35,7 +36,7 @@ product. R users are spoiled for choice when it comes to visualization frameworks. The options include **ggplot2** (arguably the most important graphics system of the last decade) and **lattice**, not to mention a -bewildering array of extensions built around, on top of, and in between +bewildering array of extensions built on top of, around, and in between these amazing packages. As a result, it is perhaps not surprising that the base R graphics @@ -52,35 +53,36 @@ the generic `plot()` function can require several function calls or a loop, fiddling with your plot regions, and then generating the legend manually. -The **plot2** package aims to remove this overhead. It provides a +The **tinyplot** package aims to remove this overhead. It provides a lightweight (zero dependency) extension of the base R graphics system -with various convenience features, particularly for representing groups -with your data. For example, the core `plot2()` function makes it easy -to plot different categories of a dataset in a single function call and -highlight these categories (groups) using modern colour palettes. -Coincident with this grouping support, `plot2()` also produces automatic -legends with scope for further customization. While the package offers -several other enhancements like facets, it tries as far as possible to -be a drop-in replacement for the equivalent base plot function. Users -should generally be able to swap a valid `plot()` call with `plot2()` -without any changes to the expected output. +with various convenience features, particularly for representing grouped +data. For example, the core `tinyplot()` function—or its shorthand +`plt()` alias—makes it easy to plot different groups of a dataset in a +single function call and highlight these groups using modern colour +palettes. Coincident with this grouping support, **tinyplot** also +produces automatic legends with scope for further customization. While +the package offers several other enhancements like facets, it tries as +far as possible to be a drop-in replacement for the equivalent base +plotting function. Users should generally be able to swap a valid +`plot()` call for `tinyplot()` without any changes to the expected +output. ## Quickstart -The **plot2** website includes a detailed [introductory -tutorial](https://grantmcdermott.com/plot2/vignettes/intro_tutorial.html), +The **tinyplot** website includes a detailed [introductory +tutorial](https://grantmcdermott.com/tinyplot/vignettes/intro_tutorial.html), with numerous examples. But here are some quickstart examples of the package in action. ``` r -library(plot2) +library(tinyplot) ``` Grouped scatterplot with automatic legend: ``` r -# with(iris, plot2(x = Petal.Length, y = Sepal.Length, by = Species)) # atomic -plot2(Sepal.Length ~ Petal.Length | Species, data = iris) # formula +# with(iris, tinyplot(x = Petal.Length, y = Sepal.Length, by = Species)) # atomic +tinyplot(Sepal.Length ~ Petal.Length | Species, data = iris) # formula ``` @@ -88,7 +90,7 @@ plot2(Sepal.Length ~ Petal.Length | Species, data = iris) # formula Same plot with a few extra aesthetic tweaks: ``` r -plot2( +tinyplot( Sepal.Length ~ Petal.Length | Species, data = iris, palette = "dark", pch = 16, @@ -101,7 +103,7 @@ plot2( Grouped grouped density plot with automatic legend: ``` r -plot2( +tinyplot( ~ Petal.Length | Species, data = iris, type = "density", @@ -117,7 +119,7 @@ Grouped scatterplot, combined with facet layout: ``` r iris2 = transform(iris, Sepals = ifelse(Sepal.Length>6, "Long", "Short")) -plot2( +tinyplot( Sepal.Length ~ Petal.Length | Sepals, data = iris2, facet = ~Species, facet.args = list(bg = "grey90"), @@ -131,5 +133,5 @@ plot2( Hopefully, these have been enough to pique your interest. Head over to the [intro -tutorial](https://grantmcdermott.com/plot2/vignettes/intro_tutorial.html) +tutorial](https://grantmcdermott.com/tinyplot/vignettes/intro_tutorial.html) for many more examples, including range plots and customization. diff --git a/man/figures/README-quickstart2-1.png b/man/figures/README-quickstart2-1.png index 668661dd96a66f2ddbeff33077c1a5a571b07ceb..d91ee9eb73562431ac8f49bb62a5b219d9f5f150 100644 GIT binary patch literal 190441 zcmeFZcT`hd*9RDEASj?nQKYGeNEM_Lnj!)MBGQ|P^iJp{L5he{l-^Mkks3NuqbR)u zkPacz34w%O5<=zzKF|Bjw`SJN{5$KtYpF5Zd(J-l?ETxnz4y69Jl0e>Pkn_N1OlB` zeR%%~2z2%t2y}Xa>ICo&Z}_!)z&~eQ9~weHAi?X0e<*x%%_IBw_iWBDKlL- z&G?x9eGY$F$g;p=qYo7x=s0VKe*U-=G)LTnQ&+~4i=^Pg=IE46$a=fzhV1Gl3NK|L zok0u80$f41ueUajKY|o?E>KY%edbg;rF8t|YxxIF;nuQ zn?`}z?oTm&(sVUlLrpOTP3US$=cVbXrNQ-yt2fo&Ws>Wjzi2~D>(~U zz81LDs609|{;n&~370I=O#3Hr!ZD}gq(0R&$-mblM!B+AWaBU{mo4nF`6CxL6I`w( z?b!ceIojk-rA0dptZt>n+{Al<&tbgk#;ZM|IcXh@xTAUPc%_R(U=%)6w;k0Pt$K** 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