Matched data by colour or shape & joined by a line.
Like all other plot_
functions, these functions also require long-format table. In addition, a column that indicates matching between data is required to be passed on to groups
argument. As an example, see data_t_pdiff
from grafify
, which is a dataset of paired or matched observations in two groups in the Subject
column. Observations defined by the column passed on to the groups
argument are joined by a line on the graph to show matching. These are also called before-after plots.
In the data below, the Subject column shows matching.
head(data_t_pdiff) #first 6 rows
Subject Condition Mass
1 A Untreated 20.88634
2 A Treated 33.36158
3 B Untreated 21.01960
4 B Treated 33.88688
5 C Untreated 28.73167
6 C Treated 39.02329
Two kinds of plots are available for plotting matched data, which match by shapes or colours. These functions need a categorical X variable (xcol
), quantitative Y variable (ycol
) and a column that contains the grouping or matching information (groups
).
In grafify
v3 onwards, before-after plots have an additional option to add box and whiskers to display data summary.
See Saving graphs for tips on how to save plots for making figures.
plot_befafter_colours
The grouping or matching is mapped to the fill
aesthetic of symbols.
plot_befafter_colours(data = data_t_pdiff,
xcol = Condition,
ycol = Mass,
match = Subject,
symsize = 5,
ColPal = "light",
ColRev = T)+
labs(title = "Two-groups, matched colours",
subtitle = "(`light` palette)")
plot_befafter_colours(data = data_t_pdiff,
xcol = Condition,
ycol = Mass,
match = Subject,
Boxplot = TRUE, #new option in v3
symsize = 5,
ColPal = "light",
ColRev = T)+
labs(title = "Two-groups, matched colours",
subtitle = "with box & whiskers")
plot_befafter_colours(data_2w_Tdeath,
Time,
PI,
Experiment,
Genotype, #facet argument
Boxplot = TRUE, #box plot
symsize = 3)+
labs(title = "Two-way repeated measures",
subtitle = "(matched shapes, `okabe_ito` palette)")
plot_befafter_shapes
This is very similar to matching by colour, but instead matched by shapes. The grouping factor is mapped to colour
aesthetic of the shapes.
plot_befafter_shapes(data_1w_death,
Genotype,
Death,
Experiment,
symsize = 4,
ColPal = "r4")+
labs(title = "Mutiple groups, matched shapes",
subtitle = "(`r4` palette)")
plot_befafter_shapes(data_1w_death,
Genotype,
Death,
Experiment,
Boxplot = TRUE,
symsize = 4,
ColPal = "r4")+
labs(title = "Mutiple groups, matched shapes",
subtitle = "(with box & whiskers)")
plot_befafter_
in single colour#single colour with before-after colours
plot_befafter_colours(data_t_pdiff,
Condition,
Mass,
Subject,
Boxplot = TRUE,
SingleColour = "ok_orange")
#single colour with before-after shapes
plot_befafter_shapes(data_t_pdiff,
Condition,
Mass,
Subject,
Boxplot = TRUE,
SingleColour = "ok_bluegreen")
plot_befafter_box
This is new in v3 and allows filled colour in boxes along with lines joining symbols. Colours are mapped to the X-variable, or a SingleColour
option can be chosen.
plot_befafter_box(data_t_pdiff,
Condition,
Mass,
Subject)+
labs(title = "Symbols joined by lines",
subtitle = "box & whiskers are default")
plot_befafter_box(data_t_pdiff,
Condition,
Mass,
Subject,
SingleColour = "ok_bluegreen")+
labs(title = "Symbols joined by lines",
subtitle = "`SingleColour` version")