plot_xy_CatGroup: Plot points on a quantitative X - Y plot & a categorical...

In grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

Plot points on a quantitative X - Y plot & a categorical grouping variable.

Description

This function takes a data table, quantitative X and Y variables along with a categorical grouping variable, and a and plots a graph with using geom_point. The categorical CatGroup variable is mapped to the fill aesthetic of symbols.

Usage

plot_xy_CatGroup(
  data,
  xcol,
  ycol,
  CatGroup,
  facet,
  Boxplot = FALSE,
  symsize = 3,
  s_alpha = 0.8,
  TextXAngle = 0,
  LogYTrans,
  LogXTrans,
  LogYBreaks = waiver(),
  LogXBreaks = waiver(),
  LogYLabels = waiver(),
  LogXLabels = waiver(),
  LogYLimits = NULL,
  LogXLimits = NULL,
  facet_scales = "fixed",
  fontsize = 20,
  bwid = 0.3,
  b_alpha = 0.3,
  l_alpha = 0.8,
  symthick,
  bthick,
  ColPal = c("okabe_ito", "all_grafify", "bright", "contrast", "dark", "fishy", "kelly",
    "light", "muted", "pale", "r4", "safe", "vibrant"),
  ColSeq = TRUE,
  ColRev = FALSE,
  ...
)

Arguments

data	a data table object, e.g. data.frame or tibble.
xcol	name of the column with quantitative X variable.
ycol	name of the column with quantitative Y variable.
CatGroup	a categorical variable as grouping factor for colour of data points, should be a categorical variable for default colours to work. Will be converted to factor if your column is numeric
facet	add another variable from the data table to create faceted graphs using ggplot2facet_wrap.
Boxplot	logical TRUE/FALSE to plot box and whiskers plot (default = FALSE).
symsize	size of symbols used by geom_point. Default set to 3.
s_alpha	fractional opacity of symbols, default set to to 0.8 (i.e, 80% opacity).
TextXAngle	orientation of text on X-axis; default 0 degrees. Change to 45 or 90 to remove overlapping text.
LogYTrans	transform Y axis into "log10" or "log2"
LogXTrans	transform X axis into "log10" or "log2"
LogYBreaks	argument for ggplot2[scale_y_continuous] for Y axis breaks on log scales, default is waiver(), or provide a vector of desired breaks.
LogXBreaks	argument for ggplot2[scale_x_continuous] for Y axis breaks on log scales, default is waiver(), or provide a vector of desired breaks.
LogYLabels	argument for ggplot2[scale_y_continuous] for Y axis labels on log scales, default is waiver(), or provide a vector of desired labels.
LogXLabels	argument for ggplot2[scale_x_continuous] for Y axis labels on log scales, default is waiver(), or provide a vector of desired labels.
LogYLimits	a vector of length two specifying the range (minimum and maximum) of the Y axis.
LogXLimits	a vector of length two specifying the range (minimum and maximum) of the X axis.
facet_scales	whether or not to fix scales on X & Y axes for all graphs. Can be fixed (default), free, free_y or free_x (for Y and X axis one at a time, respectively).
fontsize	parameter of base_size of fonts in theme_classic, default set to size 20.
bwid	width of boxplot (default = 0.3).
b_alpha	fractional opacity of boxes, (default = 0.3).
l_alpha	fractional opacity of lines joining boxes, (default = 0.8).
symthick	size (in 'pt' units) of outline of symbol lines (stroke), default = fontsize/22.
bthick	size (in 'pt' units) of outline of boxes, whisker and joining lines (stroke), default = fontsize/22.
ColPal	grafify colour palette to apply, default "okabe_ito"; see graf_palettes for available palettes.
ColSeq	logical TRUE or FALSE. Default TRUE for sequential colours from chosen palette. Set to FALSE for distant colours, which will be applied using scale_fill_grafify2.
ColRev	whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE).
...	any additional arguments to pass on.

Details

A box and whisker plot with lines joining the medians can be plotted with Boxplot = TRUE. If only box plot is needed without the line, set the opacity of the line to 0 (i.e., l_alpha = 0).

Colours can be changed using ColPal, ColRev or ColSeq arguments. Colours available can be seen quickly with plot_grafify_palette. ColPal can be one of the following: "okabe_ito", "dark", "light", "bright", "pale", "vibrant, "muted" or "contrast". ColRev (logical TRUE/FALSE) decides whether colours are chosen from first-to-last or last-to-first from within the chosen palette. ColSeq (logical TRUE/FALSE) decides whether colours are picked by respecting the order in the palette or the most distant ones using colorRampPalette.

This plot is related to plot_xy_NumGroup which requires a numeric grouping factor. When summary statistics (mean/median) are required, use plot_3d_scatterbar, plot_3d_scatterbox or plot_4d_scatterbox.

Value

This function returns a ggplot2 object of class "gg" and "ggplot".

Examples

#The grouping factor cyl  is automatically converted to categorical variable
plot_xy_CatGroup(data = mtcars,
xcol = mpg, ycol = disp, CatGroup = cyl, 
ColPal = "vibrant", ColSeq = FALSE)

#with boxplot
plot_xy_CatGroup(data = mpg, 
xcol = cyl, ycol = cty, 
CatGroup = fl, Boxplot = TRUE)

#add another variable
#with boxplot
plot_xy_CatGroup(data = mpg, 
xcol = cyl, ycol = cty, 
CatGroup = fl, facet = drv,
Boxplot = TRUE)

grafify documentation built on May 29, 2024, 3:49 a.m.