knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
This package is used for data visualization, especially when there is a group variable in a dataset. It contains the function histogram_plot that can make histogram plots for a certain variable in different groups or levels in the dataset seperately.
You can install the released version of histogramplot from CRAN with:
install.packages("histogramplot")
And the development version from GitHub with:
# install.packages("devtools") devtools::install_github("graceyin06/545B-package")
There are two examples showing how to use this package to make seperate histogram plots.
#load the required packages suppressMessages(library(dplyr)) suppressMessages(library(magrittr)) suppressMessages(library(datateachr)) suppressMessages(library(tidyverse))
Make the histogram plots for radius_mean in two diagnosis groups.
#load the dataset library(gapminder) #load the histogramplot package library(histogramplot) ## basic example code # make two histogram plots for radius_mean in two diagnosis groups. histogram_plot(cancer_sample,diagnosis,radius_mean,"radius_mean")
Make the histogram plots for lifeExp in five continents in gapminder datset .
### make the histogram plots for lifeExp in five continents. histogram_plot(gapminder,continent,lifeExp,"lifeExp")
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