main_effects {ggDoE} | R Documentation |
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)