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)