desc_statby: Descriptive statistics by groups

In kassambara/ggpubr: 'ggplot2' Based Publication Ready Plots

Descriptive statistics by groups

Description

Computes descriptive statistics by groups for a measure variable.

Usage

desc_statby(data, measure.var, grps, ci = 0.95)

Arguments

data	a data frame.
measure.var	the name of a column containing the variable to be summarized.
grps	a character vector containing grouping variables; e.g.: grps = c("grp1", "grp2")
ci	the percent range of the confidence interval (default is 0.95).

Value

A data frame containing descriptive statistics, such as:

• length: the number of elements in each group

• min: minimum

• max: maximum

• median: median

• mean: mean

• iqr: interquartile range

• mad: median absolute deviation (see ?MAD)

• sd: standard deviation of the sample

• se: standard error of the mean. It's calculated as the sample standard deviation divided by the root of the sample size.

• ci: confidence interval of the mean

• range: the range = max - min

• cv: coefficient of variation, sd/mean

• var: variance, sd^2

Examples

# Load data
data("ToothGrowth")

# Descriptive statistics
res <- desc_statby(ToothGrowth, measure.var = "len",
   grps = c("dose", "supp"))
head(res[, 1:10])

kassambara/ggpubr documentation built on Feb. 15, 2023, 4:09 a.m.