View source: R/plot_befafter_shapes.R
| plot_befafter_shapes | R Documentation | 
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_colours or plot_befafter_colors,
plot_befafter_shapes
plot_befafter_box
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",
  ...
)
| data | a data table object, e.g. data.frame or tibble. | 
| xcol | name of the column (without quotes) containing the categorical variable to be plotted on the X axis. | 
| ycol | name of the column (without quotes) with the quantitative variable to plot on the Y axis. | 
| match | name of the column (without quotes) with the matching variable to pass on to  | 
| facet | add another variable (without quotes) from the data table to create faceted graphs using  | 
| Boxplot | logical TRUE/FALSE, whether to show box and whisker plot or not (default is FALSE) | 
| symsize | size of symbols, default set to 3. | 
| s_alpha | fractional opacity of symbols, default set to 1. | 
| bwid | width of boxplots; default 0.4. | 
| jitter | extent of jitter (scatter) of symbols, default is 0.1. Increase to reduce symbol overlap, set to 0 for aligned symbols. | 
| 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" (in quotes). | 
| LogYBreaks | argument for  | 
| LogYLabels | argument for  | 
| LogYLimits | a vector of length two specifying the range (minimum and maximum) of the Y axis. | 
| facet_scales | whether or not to fix scales on X & Y axes for all facet facet graphs. Can be  | 
| fontsize | parameter of  | 
| symthick | size (in 'pt' units) of outline of symbol lines ( | 
| bthick | thickness (in 'pt' units) of boxes; default =  | 
| lthick | thickness (in 'pt' units) of lines; default =  | 
| ColPal | grafify colour palette to apply (in quotes), default "okabe_ito"; see  | 
| ColSeq | logical TRUE or FALSE. Default TRUE for sequential colours from chosen palette. Set to FALSE for distant colours, which will be applied using   | 
| ColRev | whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE). | 
| SingleColour | a colour hexcode (starting with #, e.g., "#E69F00"), a number between 1-154, or names of colours from  | 
| ... | any additional arguments to pass to  | 
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.
This function returns a ggplot2 object of class "gg" and "ggplot".
#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
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