PlotMean {bfw} | R Documentation |
Plot Mean
Description
Create a (repeated) mean plot
Usage
PlotMean(
data,
monochrome = TRUE,
plot.colors = c("#495054", "#e3e8ea"),
font.type = "serif",
run.repeated = FALSE,
run.split = FALSE,
y.split = FALSE,
ribbon.plot = TRUE,
y.text = "Score",
x.text = NULL,
remove.x = FALSE
)
Arguments
data |
MCMC data to plot |
monochrome |
logical, indicating whether or not to use monochrome colors, else use DistinctColors, Default: TRUE |
plot.colors |
range of color to use, Default: c("#495054", "#e3e8ea") |
font.type |
font type used for visualizations, Default: 'serif' |
run.repeated |
logical, indicating whether or not to use repeated measures plot, Default: FALSE |
run.split |
logical, indicating whether or not to use split violin plot and compare distribution between groups, Default: FALSE |
y.split |
logical, indicating whether or not to split within (TRUE) or between groups, Default: FALSE |
ribbon.plot |
logical, indicating whether or not to use ribbon plot for HDI, Default: TRUE |
y.text |
label on y axis, Default: 'Score' |
x.text |
label on x axis, Default: NULL |
remove.x |
logical, indicating whether or not to show x.axis information, Default: FALSE |
See Also
ggproto
,
ggplot2-ggproto
,
aes
,
margin
,
geom_boxplot
,
geom_crossbar
,
geom_path
,
geom_ribbon
,
geom_violin
,
ggplot
,
scale_manual
,
scale_x_discrete
,
theme
,
layer
,
labs
arrange
,
rbind.fill
zero_range
grid.grob
,
grobName
,
unit
approxfun
colorRamp