Simplified Correlation

This function simplifies the call for Pearson's Product-Moment Correlation Coefficient (p.corr) on a given data frame.

Usage

p.corr(df, var1, var2)

Arguments

df

data frame to read in.

var1

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

var2

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

Value

This function returns the summary results table for a Pearson's correlation, examining the relationship between var1 from data frame df, and var2.

Examples

data <- mtcars

p.corr(data,mpg,wt)
#> 
#> 	Pearson's product-moment correlation
#> 
#> data:  mpg and wt
#> 𝒓 = -0.86766, df = 30, p-value = 1.294e-10
#> alternative hypothesis: true correlation is not equal to 0
#> 95 percent confidence interval:
#>  -0.9338264 -0.7440872
#> sample estimates:
#>         𝒕 
#> -9.559044 
#>