gg_boxplots {ggDoE} | R Documentation |
Boxplots using ggplot2
Description
Boxplots using ggplot2
Usage
gg_boxplots(
data,
x,
y,
group_var = NULL,
jitter_points = FALSE,
horizontal = FALSE,
point_size = 1,
alpha = 1,
color_palette = NA,
direction = 1,
show_mean = FALSE
)
Arguments
data |
provided dataset |
x |
A character string indicating the factor of the data |
y |
A character string indicating the response of the data |
group_var |
A character string indicating the groups for facet_wrap |
jitter_points |
Overlay jittered points to boxplots. Default is FALSE. |
horizontal |
Determine whether to change the orientation of the plot. Default is FALSE |
point_size |
Change size of points (outliers) in boxplots |
alpha |
The alpha transparency, a number in [0,1] |
color_palette |
A character string indicating the color map option to use. Eight options are available: "viridis","cividis","magma","inferno","plasma","rocket","mako","turbo" |
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 |
show_mean |
Display the mean for each boxplot. Default is FALSE |
Value
Boxplots created with ggplot2
Examples
data <- ToothGrowth
data$dose <- factor(data$dose,levels = c(0.5, 1, 2),labels = c("D0.5", "D1", "D2"))
gg_boxplots(data,y= "len",x= "dose",alpha=0.6)
gg_boxplots(data,y = "len",x= "dose",group_var = "supp",
alpha=0.6,color_palette = 'viridis',jitter_points=TRUE)