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Plot distribution of numeric vector

Source: R/EDA.R
plot_distribution.Rd

Ignores NA values for mean & median calculation.

Usage

plot_distribution(
  values,
  check_normal = FALSE,
  hist = FALSE,
  title = "Distribution",
  xlab = "Value",
  savename = NULL,
  height = 5,
  width = 7
)

Arguments

values

numeric vector; values to check distribution for

check_normal

logical; perform SW test for normality?

hist

logical; include histogram?

title

string; plot title

xlab

string; x-axis label

savename

string; filepath to save figure under

height

numeric; plot height

width

numeric; plot width

Value

Plot of distribution with median + mean indicated

See also

check_normal()

Examples

set.seed(13)
vals_normal <- rnorm(100)
plot_distribution(values = vals_normal, title = "Normal", hist = TRUE, check_normal = TRUE)
#> Shapiro-Wilk normality test: p-value = 0.273
#> ** p = 0.273 > 0.05; normal
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.


vals_sequential <- c(1:100)
plot_distribution(values = vals_sequential, title = "Sequential", check_normal = TRUE)
#> Shapiro-Wilk normality test: p-value = 0.00172
#> ** p = 0.00172 <= 0.05; non-normal