R/plot_befafter_shapes.R
plot_befafter_shapes.Rd
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_shapes
plot_befafter_shapes(
data,
xcol,
ycol,
match,
facet,
Boxplot = FALSE,
symsize = 3,
s_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 matching variable to pass on to geom_line
.
add another variable from the data table to create faceted graphs using ggplot2
facet_wrap.
logical TRUE/FALSE, whether to show box and whisker plot or not (default is FALSE)
size of symbols, default set to 3.
fractional opacity of symbols, 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 or ggplot2
geom_point.
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 without legends if necessary
plot_befafter_colors(data = data_t_pdiff,
xcol = Condition, ycol = Mass,
match = Subject, s_alpha = .9, ColSeq = FALSE)+
guides(fill = "none",
colour = "none") #remove guides
#plot with boxplot
plot_befafter_colors(data = data_t_pdiff,
xcol = Condition, ycol = Mass,
match = Subject, s_alpha = .9, ColSeq = FALSE,
Boxplot = TRUE)+
guides(fill = "none",
colour = "none") #remove guides