One of 3 related functions to plot matching data joined by lines. The variable containing information for matching (e.g. matched subjects or experiments etc.) is passed to the match
argument.
plot_befafter_box
plot_befafter_box(
data,
xcol,
ycol,
match,
facet,
PlotShapes = FALSE,
symsize = 3,
s_alpha = 0.8,
b_alpha = 1,
bwid = 0.4,
jitter = 0.1,
TextXAngle = 0,
LogYTrans,
LogYBreaks = waiver(),
LogYLabels = waiver(),
LogYLimits = NULL,
facet_scales = "fixed",
fontsize = 20,
symthick,
bthick,
lthick,
ColPal = c("okabe_ito", "all_grafify", "bright", "contrast", "dark", "fishy", "kelly",
"light", "muted", "pale", "r4", "safe", "vibrant"),
ColSeq = TRUE,
ColRev = FALSE,
SingleColour = "NULL",
...
)
a data table object, e.g. data.frame or tibble.
name of the column containing the categorical variable to be plotted on the X axis.
name of the column containing the quantitative Y values.
name of the column with the grouping variable to pass on to geom_line
.
add another variable from the data table to create faceted graphs using ggplot2
facet_wrap.
logical TRUE or FALSE (default = FALSE) if the shape of the symbol is to be mapped to the match
variable. Note that only 25 shapes allowed.
size of symbols, default set to 3.
fractional opacity of symbols, default set to 0.8 (i.e., 80% opacity).
fractional opacity of boxes, default set to 1.
width of boxplots; default 0.4.
extent of jitter (scatter) of symbols, default is 0.1. Increase to reduce symbol overlap, set to 0 for aligned symbols.
orientation of text on X-axis; default 0 degrees. Change to 45 or 90 to remove overlapping text.
transform Y axis into "log10" or "log2"
argument for ggplot2[scale_y_continuous]
for Y axis breaks on log scales, default is waiver()
, or provide a vector of desired breaks.
argument for ggplot2[scale_y_continuous]
for Y axis labels on log scales, default is waiver()
, or provide a vector of desired labels.
a vector of length two specifying the range (minimum and maximum) of the Y axis.
whether or not to fix scales on X & Y axes for all facet facet graphs. Can be fixed
(default), free
, free_y
or free_x
(for Y and X axis one at a time, respectively).
parameter of base_size
of fonts in theme_classic
, default set to size 20.
size (in 'pt' units) of outline of symbol lines (stroke
), default = fontsize
/22.
thickness (in 'pt' units) of boxes; default = (fontsize)/22
.
thickness (in 'pt' units) of lines; default = (fontsize/1.2)/22
.
grafify colour palette to apply, default "okabe_ito"; see graf_palettes
for available palettes.
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
.
whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE).
a colour hexcode (starting with #), a number between 1-154, or names of colours from grafify
or base R palettes to fill along X-axis aesthetic. Accepts any colour other than "black"; use grey_lin11
, which is almost black.
any additional arguments to pass to ggplot2
geom_line, ggplot2
geom_point, or ggplot2
facet_wrap.
This function returns a ggplot2
object of class "gg" and "ggplot".
In plot_befafter_colours
/plot_befafter_colors
and plot_befafter_shapes
setting Boxplot = TRUE
will also plot a box and whiskers plot.
Note that only 25 shapes are available, and there will be errors with plot_befafter_shapes
when there are fewer than 25 matched observations; instead use plot_befafter_colours
instead.
Colours can be changed using ColPal
, ColRev
or ColSeq
arguments.
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
decides whether colours are picked by respecting the order in the palette or the most distant ones using colorRampPalette
.
To plot a graph with a single colour along the X axis variable, use the SingleColour
argument.
The resulting ggplot2
graph can take additional geometries or other layers.
plot_befafter_box(data = data_t_pdiff,
xcol = Condition, ycol = Mass,
match = Subject)
#with PlotShapes = TRUE
plot_befafter_box(data = data_t_pdiff,
xcol = Condition, ycol = Mass,
match = Subject, PlotShapes = TRUE)