compare: Compare or correlate features between collectives/cohorts.

In PiotrTymoszuk/ExDA: Toolset for Explorative Data Analysis

Compare or correlate features between collectives/cohorts.

Description

Compares the given variable between the provided data sets with a range of statistical sets as described for test (statistical testing), distribution (distribution comparison), variance (variance comparison), correlate (correlation) or covariance (covariance).

Usage

compare(
  ...,
  variable,
  split_factor = NULL,
  what = c("test", "distribution", "variance", "correlation", "covariance", "eff_size"),
  type = "t_test",
  exact = TRUE,
  ci = TRUE,
  boot_method = "percentile",
  pub_styled = FALSE,
  signif_digits = 2
)

Arguments

...	data frames.
variable	a variable name.
split_factor	optional, the name of a factor used for splitting the variables of interest into analysis groups.
what	the requested analysis: 'test', 'distribution', 'variance', 'correlation', 'covariance' or 'eff_size'. Defaults to 'test'.
type	type of statistical test, see test, correlate, covariance or eff_size for details.
exact	logical, should exact values for Chi-squared, Mann-Whitney and Wilcoxon test be returned?
ci	logical, should confidence intervals for the test effect size be returned?
boot_method	indicates how the bootstrap confidence intervals are calculated. Can be any of 'percentile', 'bca', or 'normality', defaults to 'percentile'.
pub_styled	logical, should the output be publication-ready formatted?
signif_digits	significant digits used for rounding in the publication-style output.

Details

in case, the split_factor is provided, only the first of the input data frames will be analyzed.

PiotrTymoszuk/ExDA documentation built on Nov. 17, 2024, 5:46 p.m.