Description Usage Arguments Details Examples
Makes box and whisker plots showing predicted hydraulic parameter error
1 | parameter_predictions_scatterplots(z0.l, z0.sb, z0.nl, z0.nlsb)
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z |
list of arrays containing parameter predictions from each class of model |
z.true |
true value of the parameter |
k |
exposure level |
lumped |
flag, if true, lump the cross sections together and just compare methods |
legend |
flag for legend |
absolute |
flag for plotting absolute error |
... |
other parameters as taken by boxplot() |
If lumped = FALSE, plots the results over each cross section separately.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | expo <- seq(0.05, 0.95, length.out = 19)
k <- 10
parameter_predictions_boxplots(z0.l, z0.sb, z0.nl, z0.nlsb, z0.true.ra, k = k, lumped = TRUE,
main = paste("z0 error for each method at", 100*expo[k], "percent channel exposure"),
ylab = "z0 error (m)")
parameter_predictions_boxplots(z0.l, z0.sb, z0.nl, z0.nlsb, z0.true.ra, k = 12, absolute = FALSE, lumped = TRUE)
par(mfrow = c(2,2))
k <- 16
parameter_predictions_boxplots(z0.l, z0.sb, z0.nl, z0.nlsb, z0.true.ra, k = k, lumped = FALSE, absolute = FALSE,
main = paste("z0 error at", 100*expo[k], "percent channel exposure"),
ylab = "z0 error (m)", legend = FALSE)
Parameter predictions scatterplots (without error)
Plot predicted z0 and A0 from each model for each reach-average cross section
Assumes there is M = 1 replicate. This should be the no error case.
This is an earlier iteration of Figure 5
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