# compare2numvars: Comparison for columns of numbers for 2 groups In wrappedtools: Useful Wrappers Around Commonly Used Functions

## Description

`compare2numvars` computes either t_var_test or wilcox.test, depending on parameter gaussian. Descriptive statistics, depending on distribution, are reported as well.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14``` ```compare2numvars( data, dep_vars, indep_var, gaussian, round_p = 3, round_desc = 2, range = FALSE, rangesep = " ", pretext = FALSE, mark = FALSE, n = FALSE, add_n = FALSE ) ```

## Arguments

 `data` name of dataset (tibble/data.frame) to analyze. `dep_vars` vector of column names for independent variables. `indep_var` name of grouping variable, has to translate to 2 groups. If more levels are encountered, an error is produced. `gaussian` logical specifying normal or ordinal values. `round_p` level for rounding p-value. `round_desc` number of significant digits for rounding of descriptive stats. `range` include min/max? `rangesep` text between statistics and range or other elements. `pretext` for function formatP. `mark` for function formatP. `n` create columns for n per group? `add_n` add n to descriptive statistics?

## Value

A tibble with variable names, descriptive statistics, and p-value, number of rows is number of dep_vars.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```# Assuming Normal distribution: compare2numvars( data = mtcars, dep_vars = c("wt", "mpg", "qsec"), indep_var = "am", gaussian = TRUE ) # Ordinal scale: compare2numvars( data = mtcars, dep_vars = c("wt", "mpg", "qsec"), indep_var = "am", gaussian = FALSE ) # If dependent variable has more than 2 levels, consider fct_lump: mtcars %>% mutate(gear=factor(gear) %>% fct_lump_n(n=1)) %>% compare2numvars(dep_vars="wt",indep_var="gear",gaussian=TRUE) ```

wrappedtools documentation built on Sept. 6, 2021, 5:08 p.m.