plot_chi_test: Plot Chi-Square test for one populational variance

In Zibetti/Plothtests: Plot Parametric Hypothesis Tests (Z, T, Chi-squared and F)

Description

Plot Chi-Square test for one populational variance

Usage

plot_chi_test(alpha = 0.05, alternative = "two.sided", df, va, vp,
  annotations = TRUE, color = 3)

Arguments

alpha	significance level for the critical limits
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
df	degrees of freedom for the sample (default = 10)
va	sample variance (default = 10)
vp	populational variance under null hypothesis (default = 10)
annotations	logical, show annotations in plot figure, TRUE ou FALSE (default = TRUE)
color	integer, color theme for plot, from 1 to 7 so far (default = 3)

Examples

plot_chi_test(alpha = 0.05,alternative = "two.sided",
              df = 20, va = 20,
              vp = 15,
              annotations = TRUE,
              color = 3)

Zibetti/Plothtests documentation built on Feb. 5, 2021, 8:32 p.m.