Sequence Generation Based on the Values of a Vector

Sequence Generation Based on the Values of a Vector

Usage

seq_range(
  x,
  length.out = NULL,
  by = NULL,
  along.with = NULL,
  na.rm = TRUE,
  padding = 0.05
)

seq_quantile(
  x,
  probs,
  length.out = NULL,
  by = NULL,
  along.with = NULL,
  na.rm = TRUE
)

seq_IQR(x, length.out = NULL, by = NULL, along.with = NULL, na.rm = TRUE)

mean_sd(x, na.rm = TRUE, out = c("vector", "data.frame"))

median_mad(x, na.rm = TRUE, out = c("vector", "data.frame"))

Arguments

x

A numeric vector

length.out

desired length of the sequence. If no other arguments are valued, defaults to 20.

by

number: increment of the sequence.

along.with

take the length from the length of this argument.

na.rm

a logical evaluating to TRUE or FALSE indicating whether NA values should be stripped before the computation proceeds.

padding

Padding factor for the range.

probs

numeric vector of probabilities with values in \([0,1]\). (Values up to 2e-14 outside that range are accepted and moved to the nearby endpoint.)

out

If "data.frame" can be used as a summary function in ggplot2.

Examples

set.seed(1)
x <- rt(100, df = 3)
seq_range(x, length.out = 5)
#> [1] -8.0437647 -4.4893708 -0.9349769  2.6194170  6.1738109
seq_IQR(x, length.out = 5)
#> [1] -0.68605240 -0.32010195  0.04584849  0.41179894  0.77774938
seq_quantile(x, c(.05, .95), length.out = 5)
#> [1] -2.1238314 -0.9386960  0.2464393  1.4315747  2.6167101

mean_sd(x)
#>          -SD         Mean          +SD 
#> -1.549678560  0.003624249  1.556927057 

library(ggplot2)
ggplot(mtcars, aes(cyl, mpg)) +
  stat_summary(aes(color = "Mean (SD)"),
    fun.data = mean_sd,
    fun.args = list(out = "data.frame")
  ) +
  stat_summary(aes(color = "Median (MAD)"),
    fun.data = median_mad,
    fun.args = list(out = "data.frame"),
    position = position_nudge(x = 0.5)
  )