In ventri2020/rraysplot: Make 2D Arrays Plots Less Aggravating

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  fig.asp = 0.618,
  out.width = "100%"
)

`%<-%` <- keras::`%<-%`

rraysplot

The goal of rraysplot is to make 2D arrays and matrices plots less aggravating.

Inserting Citations

1. RStudio 1.4 Preview: Citations
2. Comparison of fs functions, base R, and shell commands

Installation

You can install the development version of rraysplot from GitHub with:

# install.packages("devtools")
devtools::install_github("ventri2020/rraysplot")

Example

This is a basic example which shows you how to solve a common problem:

library(rraysplot)

set.seed(202011)
c(ch5, r5, z5, o5, sq5) %<-% make_arrays(m = 5, n = 5)

plot_array2d(ch5, title = "checker", title_size = 54)
plot_array2d(r5,  title = "urandom", title_size = 54)
plot_array2d(z5,  title = "zeros", title_size = 54)
plot_array2d(o5,  title = "ones", title_size = 54)
plot_array2d(sq5, title = "square", title_size = 54)

plot_array2d(list(ch5, sq5))
plot_array2d(list(ch5, o5, sq5))
plot_array2d(list(ch5, r5, z5))

d5 = z5
d5[1, 1] = 1
d5[3, 3] = 0.75
d5[5, 5] = 0.5

plot_array2d(list(ch5, d5, d5))
plot_array2d(list(ch5, o5, d5))

Note that the mm values are rescaled to (0,1) range by the bhistogram function.

mm = c(rnorm(1500, 0, .1), rnorm(1000, 1, .2))
bhistogram(mm, title = "Multimodal frequencies", title_size = 16)

ventri2020/rraysplot documentation built on Jan. 1, 2021, 12:38 p.m.