RidgePlotAtomic: Atomic ridge plot
In plotthis: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages

RidgePlotAtomic

R Documentation

Atomic ridge plot

Description

Atomic ridge plot

Usage

RidgePlotAtomic(
  data,
  x = NULL,
  in_form = c("long", "wide"),
  group_by = NULL,
  group_by_sep = "_",
  group_name = NULL,
  add_vline = NULL,
  vline_type = "solid",
  vline_color = TRUE,
  vline_width = 0.5,
  vline_alpha = 1,
  flip = FALSE,
  alpha = 0.8,
  scale = NULL,
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  x_text_angle = 90,
  keep_na = FALSE,
  keep_empty = FALSE,
  reverse = FALSE,
  facet_by = NULL,
  facet_scales = "fixed",
  facet_ncol = NULL,
  facet_nrow = NULL,
  facet_byrow = TRUE,
  aspect.ratio = 1,
  legend.position = "none",
  legend.direction = "vertical",
  ...
)

Arguments

`data`	A data frame It has two forms: wide and long. For the wide form, the values should under different 'group_by' columns. For the long form, the values should be under the 'x' column and the 'group_by' column should be provided, which should be a single column with the group names.
`x`	A character string specifying the column name for the values A numeric column is expected. If 'data' is in the wide form, 'x' should be NULL. The values will be taken from the data under 'group_by' columns.
`in_form`	A character string specifying the form of the data. Default is "long".
`group_by`	A character string specifying the column name to group the data These groups will be shown on the y-axis.
`group_by_sep`	A character string to concatenate the columns in `group_by` if multiple columns are provided If 'data' is in the wide form, the columns will not be concatenated.
`group_name`	A character string to name the legend of 'group_by', if 'legend.position' is not "none".
`add_vline`	A numeric vector or a named list of numeric values to add vertical lines to the plot. If a named list is provided, the names should match the levels of 'group_by'. If `TRUE`, the vertical lines will be added at the mean of each group.
`vline_type`	The type of line to draw for the vertical line.
`vline_color`	The color of the vertical line. If `TRUE`, the vertical lines will be colored according to the group colors.
`vline_width`	The width of the vertical line.
`vline_alpha`	The alpha value of the vertical line.
`flip`	A logical value. If TRUE, the plot will be flipped.
`alpha`	A numeric value specifying the alpha of the ridges.
`scale`	A numeric value to scale the ridges. See also `geom_density_ridges`.
`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).
`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.
`x_text_angle`	A numeric value specifying the angle of the x-axis text.
`keep_na`	A logical value or a character to replace the NA values in the data. It can also take a named list to specify different behavior for different columns. If TRUE or NA, NA values will be replaced with NA. If FALSE, NA values will be removed from the data before plotting. If a character string is provided, NA values will be replaced with the provided string. If a named vector/list is provided, the names should be the column names to apply the behavior to, and the values should be one of TRUE, FALSE, or a character string. Without a named vector/list, the behavior applies to categorical/character columns used on the plot, for example, the `x`, `group_by`, `fill_by`, etc.
`keep_empty`	One of FALSE, TRUE and "level". It can also take a named list to specify different behavior for different columns. Without a named list, the behavior applies to the categorical/character columns used on the plot, for example, the `x`, `group_by`, `fill_by`, etc. `FALSE` (default): Drop empty factor levels from the data before plotting. `TRUE`: Keep empty factor levels and show them as a separate category in the plot. `"level"`: Keep empty factor levels, but do not show them in the plot. But they will be assigned colors from the palette to maintain consistency across multiple plots. Alias: `levels`
`reverse`	A logical value. If TRUE, reverse the order of the groups on the y-axis.
`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`
`facet_ncol`	A numeric value specifying the number of columns in the facet. When facet_by is a single column and facet_wrap is used.
`facet_nrow`	A numeric value specifying the number of rows in the facet. When facet_by is a single column and facet_wrap is used.
`facet_byrow`	A logical value indicating whether to fill the plots by row. Default is TRUE.
`aspect.ratio`	A numeric value specifying the aspect ratio of the plot.
`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.
`...`	Additional arguments.