| Title: | Plots and Visualization Tools for Management Strategy Evaluation Results |
|---|---|
| Description: | A set of plots and visualization tools to explore and present the results of Management Strategy Evaluation (MSE) analyses. |
| Authors: | Iago Mosqueira [aut, cre] |
| Maintainer: | Iago Mosqueira <[email protected]> |
| License: | EUPL |
| Version: | 0.2.6.9008 |
| Built: | 2024-11-02 04:43:16 UTC |
| Source: | https://github.com/flr/mseviz |
Boxplot by MP for a range of statistics Figure 3
plotBPs( data, statistics = unique(data$statistic), size = 3, target = missing, limit = missing, reference = missing, yminmax = c(0.1, 0.9), lowupp = c(0.25, 0.75), show.mean = NULL )plotBPs( data, statistics = unique(data$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"))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"))
Trade-offs plot by MP for a range of statistics Figure 4
plotTOs( data, x = unique(data$statistic)[1], y = setdiff(unique(data$statistic), x), probs = c(0.1, 0.5, 0.9), size = 0.5, alpha = 0.75 )plotTOs( data, x = unique(data$statistic)[1], y = setdiff(unique(data$statistic), x), probs = c(0.1, 0.5, 0.9), size = 0.5, alpha = 0.75 )
data(perf) plotTOs(perf, x="C", y=c("SBMSY", "FMSY", "green", "SB0"))data(perf) plotTOs(perf, x="C", y=c("SBMSY", "FMSY", "green", "SB0"))