Simplified One-Way Analysis of Variance

This function simplifies the call for one-way ANOVA (ow.anova) on a given data frame. Also allows calls for Tukey's Honestly Significant Difference Post-Hoc Comparisons Test (hsd), as well as a means plot (plot).

Usage

ow.anova(df, var1, by1, plot = FALSE, hsd = FALSE)

Arguments

df

data frame to read in.

var1

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

by1

the main independent/predictor variable, \(X\). A grouping variable by which var1 should be parsed.

plot

logical (default set to F). When set to plot = T, will return a means plot with 95 percent confidence intervals, broken out by each group (by1).

hsd

logical (default set to F). When set to hsd = T, will return results of Tukey's Honestly Significant Difference Post-Hoc Comparisons Test.

Value

This function returns the summary results table for a one-way ANOVA, examining mean differences in var1 from data frame df, across by1 groups.

Examples

data <- mtcars

ow <- ow.anova(data,mpg,cyl,plot=TRUE)

summary(ow)
#> Call:
#> ow.anova(df = data, var1 = mpg, by1 = cyl, plot = TRUE)
#> 
#> One-Way Analysis of Variance (ANOVA): 
#>                           df      SS      MS      F   p-value    
#> Between Groups (cyl)   2.000 824.785 412.392 39.697 4.979e-09 ***
#> Within Groups (cyl)   29.000 301.263  10.388                     
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>