Describe: Descriptive statistics.

In bruceR: Broadly Useful Convenient and Efficient R Functions

Descriptive statistics.

Description

Descriptive statistics.

Usage

Describe(
  data,
  all.as.numeric = TRUE,
  digits = 2,
  file = NULL,
  plot = FALSE,
  upper.triangle = FALSE,
  upper.smooth = "none",
  plot.file = NULL,
  plot.width = 8,
  plot.height = 6,
  plot.dpi = 500
)

Arguments

data	Data frame or numeric vector.
all.as.numeric	TRUE (default) or FALSE. Transform all variables into numeric (continuous).
digits	Number of decimal places of output. Defaults to 2.
file	File name of MS Word (.doc).
plot	TRUE or FALSE (default). Visualize the descriptive statistics using GGally::ggpairs().
upper.triangle	TRUE or FALSE (default). Add (scatter) plots to upper triangle (time consuming when sample size is large).
upper.smooth	"none" (default), "lm", or "loess". Add fitting lines to scatter plots (if any).
plot.file	NULL (default, plot in RStudio) or a file name ("xxx.png").
plot.width	Width (in "inch") of the saved plot. Defaults to 8.
plot.height	Height (in "inch") of the saved plot. Defaults to 6.
plot.dpi	DPI (dots per inch) of the saved plot. Defaults to 500.

Value

Invisibly return a list with (1) a data frame of descriptive statistics and (2) a ggplot2 object if plot=TRUE.

See Also

Corr

Examples

set.seed(1)
Describe(rnorm(1000000), plot=TRUE)

Describe(airquality)
Describe(airquality, plot=TRUE, upper.triangle=TRUE, upper.smooth="lm")

# ?psych::bfi
Describe(psych::bfi[c("age", "gender", "education")])

d = as.data.table(psych::bfi)
added(d, {
  gender = as.factor(gender)
  education = as.factor(education)
  E = .mean("E", 1:5, rev=c(1,2), range=1:6)
  A = .mean("A", 1:5, rev=1, range=1:6)
  C = .mean("C", 1:5, rev=c(4,5), range=1:6)
  N = .mean("N", 1:5, range=1:6)
  O = .mean("O", 1:5, rev=c(2,5), range=1:6)
})
Describe(d[, .(age, gender, education)], plot=TRUE, all.as.numeric=FALSE)
Describe(d[, .(age, gender, education, E, A, C, N, O)], plot=TRUE)

bruceR documentation built on June 22, 2024, 12:26 p.m.