Box plot

Produce box-and-whisker plot(s) of leem class object and computes the necessary values for the development of the plot.

Usage

# S3 method for class 'leem'
boxplot(
  x,
  type = "rawdata",
  details = FALSE,
  horizontal = FALSE,
  coef = 1.5,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  col = rgb(0, 175, 239, maxColorValue = 255),
  ...
)

Arguments

x

R object (list) of class leem. Use new_leem() function.

type

character argument. Default is rawdata. If type = "classes", the function returns a boxplot plot for each set of data grouped of classes of x object.

details

Logical argument. Default is FALSE, otherwise, in addition to the plot, the measurements necessary for the development of the plot will be displayed on the console.

horizontal

Logical argument indicating if the boxplots should be horizontal; default FALSE means vertical boxes.

coef

this determines how far the plot whiskers extend out from the box. If coef is positive, the whiskers extend to the most extreme data point which is no more than coef times the interquartile range from the box. A value of zero causes the whiskers to extend to the data extremes.

main

Title name. Defaults is NULL.

xlab

a label for the x axis. Defaults is NULL.

ylab

a label for the y axis. Defaults is NULL.

col

Character vector. Default col = rgb(0, 175, 239, maxColorValue = 255).

...

further arguments passed to or from other methods.

Examples

library(leem)
# Example 1
x <- rnorm(30, 100, 2) |>
  new_leem(variable = 2) |>
  tabfreq()
boxplot(x, details = TRUE)

#> $stats
#> [1]  96.08133  98.94260 100.28825 100.96633 103.47796
#> 
#> $n
#> [1] 30
#> 
#> $conf
#> [1]  99.70447 100.87203
#> 
#> $out
#> [1] 107.1251
#> 
#> $iqr
#> [1] 2.02373
#> 
#> $min
#> [1] 96.08133
#> 
#> $max
#> [1] 99.03548
#> 
#> $mean
#> [1] 100.16
#> 
# Example 2
boxplot(x, type = "classes")