Boxplots for every scaled variable grouped by factor
Boxplots(vars, groups, boxcols=Pastels, legpos="topleft", srt=45, adj=1,
slty=3, yticks=FALSE, ymarks=FALSE, ...)For the efficiency reasons, the function does not return anything.
data frame consists of variables to plot
grouping factor
colors of character boxes, default is 'Pastels', i.e. c("white", "lightblue", "mistyrose", "lightcyan", "lavender", "cornsilk")
where to place automatic legend, default is 'topleft', for no legend use 'legpos=NA'
line type to delimit groups of boxes
regular 'plot()' arguments
additional arguments to 'boxplot()'
Alexey Shipunov
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.
boxplot, Linechart, Dotchart3
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
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