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Obtain main effect plots in a factorial design

Source: R/main_effects.R
main_effects.Rd

Obtain main effect plots in a factorial design

Usage

main_effects(
  design,
  response,
  exclude_vars = c(),
  n_columns = 2,
  color_palette = NA,
  showplot = TRUE,
  ...
)

Arguments

design

Design of experiment (Factorial Design)

response

A character string indicating the response of the data

exclude_vars

A vector containing variables to exclude

n_columns

number of columns for facet grid. Default is 2

color_palette

A character string indicating the color map option to use. Eight options are available: "viridis","cividis","magma","inferno","plasma","rocket","mako","turbo"

showplot

logical indicating to show the main effect plots. If false, a list of data.frames is returned used to obtain the main effects for each factor. Default is TRUE

...

additional parameters to be given to viridisPalette, such as alpha and direction

Value

Main effects plots, or a list of tibble with calculated main effects for each factors if showplot=FALSE.

Examples

main_effects(original_epitaxial,response='s2',exclude_vars = c('ybar','lns2'))

main_effects(original_epitaxial,response='ybar',exclude_vars=c('A','s2','lns2'),n_columns=3)