Boxplots: Grouped boxplots

In shipunov: Miscellaneous Functions from Alexey Shipunov

Grouped boxplots

Description

Boxplots for every scaled variable grouped by factor

Usage

Boxplots(vars, groups, boxcols=Pastels, legpos="topleft", srt=45, adj=1,
 slty=3, yticks=FALSE, ymarks=FALSE, ...)

Arguments

vars	data frame consists of variables to plot
groups	grouping factor
boxcols	colors of character boxes, default is 'Pastels', i.e. c("white", "lightblue", "mistyrose", "lightcyan", "lavender", "cornsilk")
legpos	where to place automatic legend, default is 'topleft', for no legend use 'legpos=NA'
slty	line type to delimit groups of boxes
srt, adj, yticks, ymarks	regular 'plot()' arguments
...	additional arguments to 'boxplot()'

Details

There are many ways to represent groups in data. One is trellis plots. 'Boxplots()' make grouped plots which fit the plot box linearly and therefore easy to compare. So the main idea for grouped plots is to make comparison easier.

Please note that because characters within group are likely of different nature, they are scaled. Consequently, tick marks are removed as they have no sense.

Alternatives: trellis designs.

Value

For the efficiency reasons, the function does not return anything.

Author(s)

Alexey Shipunov

See Also

boxplot, Linechart, Dotchart3

Examples

Trees <- trees
Trees[, 4] <- sample(letters[1:3], nrow(Trees), replace=TRUE)
Boxplots(Trees[, 1:3], factor(Trees[, 4]), srt=0, adj=c(.5, 1)) # horizontal labels

sp <- Recode(eq_s$N.POP, eq_l$N.POP, eq_l$SPECIES)
eq <- cbind(sp=as.factor(sp), eq_s[, -1])
eq3 <- eq[eq$sp %in% levels(eq$sp)[1:3], ]
Boxplots(eq3[, 2:9], eq3[, 1], boxcols=grey(1:3/3), slty=0) # no border lines

shipunov documentation built on Feb. 16, 2023, 9:05 p.m.