compare_means: Compare sample means

In radiant.basics: Basics Menu for Radiant: Business Analytics using R and Shiny

Compare sample means

Description

Compare sample means

Usage

compare_means(
  dataset,
  var1,
  var2,
  samples = "independent",
  alternative = "two.sided",
  conf_lev = 0.95,
  comb = "",
  adjust = "none",
  test = "t",
  data_filter = "",
  envir = parent.frame()
)

Arguments

dataset	Dataset
var1	A numeric variable or factor selected for comparison
var2	One or more numeric variables for comparison. If var1 is a factor only one variable can be selected and the mean of this variable is compared across (factor) levels of var1
samples	Are samples independent ("independent") or not ("paired")
alternative	The alternative hypothesis ("two.sided", "greater" or "less")
conf_lev	Span of the confidence interval
comb	Combinations to evaluate
adjust	Adjustment for multiple comparisons ("none" or "bonf" for Bonferroni)
test	t-test ("t") or Wilcox ("wilcox")
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/basics/compare_means.html for an example in Radiant

Value

A list of all variables defined in the function as an object of class compare_means

See Also

summary.compare_means to summarize results

plot.compare_means to plot results

Examples

compare_means(diamonds, "cut", "price") %>% str()

radiant.basics documentation built on Sept. 8, 2023, 5:47 p.m.