main_effects: Obtain main effect plots in a factorial design

In toledo60/ggDoE: Modern Graphs for Design of Experiments with 'ggplot2'

Obtain main effect plots in a factorial design

Description

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)

toledo60/ggDoE documentation built on June 16, 2024, 3:36 p.m.