Analysis in R: Summary value box plot “lvplot” package

It is a convenient way to express data distribution.

You can use commands from the “ggplot2” package. This is useful for checking the data distribution.

Package version is 0.2.0.9000. Checked with R version 4.1.2.

Install Package

Run the following command.

#Install Package
install.packages("devtools")
devtools::install_github("hadley/lvplot")

Example

See the command and package help for details.

#Loading the library
library("lvplot")

#Summary value box plot: LVboxplot command
par(mfrow = c(4,2), mar = c(3,3,3,3))
for (i in 1:4) {
  x <- rexp(10 ^ (i + 1))
  boxplot(x, col = "lightblue", horizontal = TRUE)
  title(paste("rexp, n = ", length(x)))
  LVboxplot(x, col = "lightblue", xlab = "")
}

#Plotting with ggplot2: geom_lvplot command
#Install the tidyverse package if it is not already present
if(!require("tidyverse", quietly = TRUE)){
  install.packages("tidyverse");require("tidyverse")
}
#Create Color pallet
#Install the scales package if it is not already present
if(!require("scales", quietly = TRUE)){
  install.packages("scales");require("scales")
}

###Creating Data#####
PlotData <- NULL
for (i in 1:4) {
  
  EXPData <- cbind(i, rexp(10 ^ (i + 1)))
  PlotData <- rbind(PlotData, EXPData)
  
}
PlotData <- as.data.frame(PlotData)
#######
ggplot(PlotData, aes(PlotData[, 1], PlotData[, 2])) +
  geom_lv(aes(fill=..LV..)) +
  scale_fill_manual(values = seq_gradient_pal(c("#e1e6ea", "#505457", "#4b61ba", "#a87963",
                                                "#d9bb9c", "#756c6d", "#807765", "#ad8a80"))(seq(0, 1, length = 14))) +
  facet_wrap(~i)

Output Example

・LVboxplot command

・geom_lvcommand

I hope this makes your analysis a little easier !!