main_effects {ggDoE}

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,
  alpha = 1,
  direction = 1,
  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"

alpha

The alpha transparency, a number in [0,1]

direction

Sets the order of colors in the scale. If 1, the default, colors are ordered from darkest to lightest. If -1, the order of colors is reversed

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

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)