plotCS | R Documentation |
Function to generate collapsed cross-section plots to visualize changes in the performance metrics of interest
as the proportion of missing data and gap width increase. Instead of three axes, as in the surface plots,
either p
or g
can be 'collapsed' such that changes in performance are depicted with respect to one variable,
across all values of the other. This variable is specified in cross_section
, and will form the x-axis of the cross-section plot.
The middle line is the median value of the collapsed variable
The upper ribbon boundary is the maximum value
The lower ribbon boundary is the minimum value
plotCS(
d = 1:length(agEval),
m = names(agEval[[1]][[1]][[1]]),
crit,
agEval,
layer_type = "method",
f = "median",
cross_section = "p",
highlight = NULL,
highlight_color = "#FF0000",
colors = c("#FF8633", "#FFAF33", "#FFD133", "#FFEC33", "#D7FF33", "#96FF33")
)
d |
|
m |
|
crit |
|
agEval |
|
layer_type |
|
f |
|
cross_section |
|
highlight |
|
highlight_color |
|
colors |
|
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