sig_val_auto: sig_val_auto function

In clmacleod/highlandr: Random Useful Functions

sig_val_auto function

Usage

sig_val_auto(
  variables,
  crossvar,
  data,
  crossvartype,
  testtypes,
  reporttest = TRUE,
  correction_type = "none",
  sig = 0.05,
  stars = TRUE,
  digs = 3,
  force_fisher = FALSE,
  force_anova = FALSE,
  force_t = FALSE
)

Arguments

variables	a vector of variable names for variables that you want to cross
crossvar	the variable to cross against all in the 'variables' argument
data	the data frame containing the variables in 'variables' and 'crossvar'
crossvartype	the type of the cross variable. types can be 'b', 'f' which are binary, and factor respectively
testtypes	a vector of types of the variables. types can be 'b', 'f', or 'c' which are binary, factor, and continuous respectively
reporttest	boolean indicating if the type of test run should be added as a variable, default is yes
correction_type	type of p value correction to apply for multiple comparisons. default is 'none'. this uses the p.adjust from stats package so any adjustment name there will work here
sig	the significance value to use. default is .05
stars	boolean indicating whether to add stars to significance values. default is TRUE
digs	number of digits to round values to. default is 3
force_fisher	boolean indicating if fisher's exact test should be used with two binary variables even if other assumptions are violated (e.g. <20 \item force_anovaboolean indicating if anova should be used with a factor and continuous variable even normality (shapiro wilk) is violated \item force_tboolean indicating if t test should be used with a binary and continuous variable even normality (shapiro wilk) is violated

significance values creator with adjustment option testtypes and crossvar type can take the form (b,f,c) for binary, factor, or continuous sig_val_auto_function()

crosstab p pvalue sig_val_auto significance value

clmacleod/highlandr documentation built on Oct. 11, 2023, 8:04 p.m.