plotBPs | R Documentation |
Boxplot by MP for a range of statistics Figure 3
plotBPs(
data,
statistics = unique(data$statistic),
size = 3,
target = missing,
limit = missing,
reference = missing,
yminmax = c(0.1, 0.9),
lowupp = c(0.25, 0.75),
show.mean = NULL
)
data(perf)
# A data.table of performance statistics per run,
head(perf)
# plot selected statistics
plotBPs(perf, statistics=c("SB0", "FMSY", "green"))
# Use FLR's own colourblind-friendly palette
plotBPs(perf, statistics=c("SB0", "FMSY", "green")) +
scale_fill_flr()
# Add targets and limits by statistics, as named vectors
plotBPs(perf, statistics=c("SB0", "FMSY", "green"),
target=c(SB0=0.40, FMSY=1, green=0.5), limit=c(SB0=0.10))
# Add references inm gray
plotBPs(perf, statistics=c("SB0", "FMSY", "green"),
reference=c(SB0=0.50))
# size controls the diameter of the point behind thin boxplots
plotBPs(perf, statistics=c("SB0", "FMSY", "green"), size=3)
# Signal MPs by type (color) and target level (hue)
plotBPs(perf, statistics=c("SB0", "FMSY", "green")) +
scale_fill_manual(values=c("#f70e4a", "#fa537d", "#fc98b1",
"#1189af", "#30beeb", "#83d8f3"))
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