BarPlotGrouped: Bar plot with groups
In plotthis: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages

BarPlotGrouped

R Documentation

Bar plot with groups

Description

Create a bar plot with groups.

Usage

BarPlotGrouped(
  data,
  x,
  x_sep = "_",
  y = NULL,
  scale_y = FALSE,
  flip = FALSE,
  group_by,
  group_by_sep = "_",
  group_name = NULL,
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  label = NULL,
  label_nudge = 0,
  label_fg = "black",
  label_size = 4,
  label_bg = "white",
  label_bg_r = 0.1,
  add_bg = FALSE,
  bg_palette = "stripe",
  bg_palcolor = NULL,
  bg_alpha = 0.2,
  alpha = 1,
  x_text_angle = 0,
  aspect.ratio = 1,
  add_line = NULL,
  line_color = "red2",
  line_width = 0.6,
  line_type = 2,
  line_name = NULL,
  add_trend = FALSE,
  trend_color = "black",
  trend_linewidth = 1,
  trend_ptsize = 2.5,
  position = "auto",
  position_dodge_preserve = "total",
  y_min = NULL,
  y_max = NULL,
  legend.position = "right",
  legend.direction = "vertical",
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  keep_empty = FALSE,
  expand = waiver(),
  width = 0.8,
  facet_by = NULL,
  facet_scales = "fixed",
  ...
)

Arguments

`data`	A data frame.
`x`	A character string specifying the column name of the data frame to plot for the x-axis.
`x_sep`	A character string to concatenate the columns in `x`, if multiple columns are provided.
`y`	A character string specifying the column name of the data frame to plot for the y-axis.
`scale_y`	A logical value indicating whether to scale the total y values in each group to 100%. Only works when group_by is specified.
`flip`	A logical value indicating whether to flip the x and y axes.
`group_by`	A character vector specifying the column as the group_by of the plot. A character/factor column is expected.
`group_by_sep`	A character string to concatenate the columns in `group_by`, if multiple columns are provided.
`group_name`	A character string to specify the name of the group_by in the legend.
`theme`	A character string or a theme class (i.e. ggplot2::theme_classic) specifying the theme to use. Default is "theme_this".
`theme_args`	A list of arguments to pass to the theme function.
`palette`	A character string specifying the palette to use. A named list or vector can be used to specify the palettes for different `split_by` values.
`palcolor`	A character string specifying the color to use in the palette. A named list can be used to specify the colors for different `split_by` values. If some values are missing, the values from the palette will be used (palcolor will be NULL for those values).
`label`	A column name for the values to be displayed on the top of the bars. If TRUE, the y values will be displayed.
`label_nudge`	A numeric value to nudge the labels (the distance between the label and the top of the bar).
`label_fg`	A character string indicating the color of the label.
`label_size`	A numeric value indicating the size of the label.
`label_bg`	A character string indicating the background color of the label.
`label_bg_r`	A numeric value indicating the radius of the background.
`add_bg`	A logical value indicating whether to add a background to the plot.
`bg_palette`	A character string indicating the palette to use for the background.
`bg_palcolor`	A character string indicating the color to use for the background.
`bg_alpha`	A numeric value indicating the alpha of the background.
`alpha`	A numeric value specifying the transparency of the plot.
`x_text_angle`	A numeric value specifying the angle of the x-axis text.
`aspect.ratio`	A numeric value specifying the aspect ratio of the plot.
`add_line`	A numeric value indicating the y value to add a horizontal line.
`line_color`	A character string indicating the color of the line.
`line_width`	A numeric value indicating the size of the line.
`line_type`	A numeric value indicating the type of the line.
`line_name`	A character string indicating the name of the line.
`add_trend`	A logical value to add trend line to the plot.
`trend_color`	A character string to specify the color of the trend line.
`trend_linewidth`	A numeric value to specify the width of the trend line.
`trend_ptsize`	A numeric value to specify the size of the trend line points.
`position`	A character string indicating the position of the bars. If "auto", the position will be "stack" if group_by has more than 5 levels, otherwise "dodge". "fill" is also a valid option. Only works when group_by is not NULL.
`position_dodge_preserve`	Should dodging preserve the "total" width of all elements at a position, or the width of a "single" element?
`y_min`	A numeric value to specify the minimum value of the y axis.
`y_max`	A numeric value to specify the maximum value of the y axis.
`legend.position`	A character string specifying the position of the legend. if `waiver()`, for single groups, the legend will be "none", otherwise "right".
`legend.direction`	A character string specifying the direction of the legend.
`title`	A character string specifying the title of the plot. A function can be used to generate the title based on the default title. This is useful when split_by is used and the title needs to be dynamic.
`subtitle`	A character string specifying the subtitle of the plot.
`xlab`	A character string specifying the x-axis label.
`ylab`	A character string specifying the y-axis label.
`keep_empty`	A logical value indicating whether to keep empty groups. If FALSE, empty groups will be removed.
`expand`	The values to expand the x and y axes. It is like CSS padding. When a single value is provided, it is used for both axes on both sides. When two values are provided, the first value is used for the top/bottom side and the second value is used for the left/right side. When three values are provided, the first value is used for the top side, the second value is used for the left/right side, and the third value is used for the bottom side. When four values are provided, the values are used for the top, right, bottom, and left sides, respectively. You can also use a named vector to specify the values for each side. When the axis is discrete, the values will be applied as 'add' to the 'expansion' function. When the axis is continuous, the values will be applied as 'mult' to the 'expansion' function. See also https://ggplot2.tidyverse.org/reference/expansion.html
`width`	A numeric value specifying the width of the bars.
`facet_by`	A character string specifying the column name of the data frame to facet the plot. Otherwise, the data will be split by `split_by` and generate multiple plots and combine them into one using `patchwork::wrap_plots`
`facet_scales`	Whether to scale the axes of facets. Default is "fixed" Other options are "free", "free_x", "free_y". See `ggplot2::facet_wrap`
`...`	Additional arguments.