Simplified Independent Samples T-Test

This function simplifies the call for the independent samples t-test (is.t) on a given data frame.

Usage

is.t(df, var1, var2, var.equal = TRUE, two.tailed = TRUE)

Arguments

df

data frame to read in.

var1

the dependent/outcome variable, \(Y\).

var2

the main independent/predictor variable, \(X\).

var.equal

logical (default set to T). When set to var.equal = F, will employ Welsh's correction to the t-test (for data that violate the equal variances assumption).

two.tailed

logical (default set to T). When set to two.tailed = F, will return results of a one-sided t-test.

Value

This function returns the summary results table for an independent samples t-test, examining the mean differences of var1 (in data frame df) between groups in var2.

Examples

data <- mtcars

ttest <- is.t(data,mpg,am)
summary(ttest)
#> Call:
#> is.t(df = data, var1 = mpg, var2 = am)
#> 
#> Independent Samples (Two Sample) t-test: 
#> 
#>        𝑡 Critical 𝑡 df  p-value    
#>  -4.1061     2.0420 30 0.000285 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> Group Means:
#>     x̅: 0     x̅: 1 
#> 17.14737 24.39231 
#>