Usage
box.plots(result, solution, show.measures = 1:num.measures, new.order = 1:solution, show.synthetic.peaks = FALSE, synthetic.peaks.col = c(2:8, 2:8), show.timestep = NA,
show.cell = NA, ref = NULL, ref.new.order = new.order, ref.solutions = solution, col.best.match = "black", clusterPalette = rainbow(solution))
errors.in.time(xval, result, solution, rain.data = NULL, show.months = FALSE, new.order = 1:solution, x.range = 1:length(xval), pmax = max(c(result$measured, result$modelled), na.rm = TRUE), data.colors = data.frame(measured = c("grey"), modelled = c("black"), rain = c("black")), clusterPalette = rainbow(solution), color.cut.off = 0, frac.max = 0.7, frac.min = 0.4, grid.nx = 0, legend.pos = "topleft", show.data = TRUE, show.errors = TRUE, show.data.model = show.data, show.data.measured = show.data, ...)
peaks.in.clusters(result, solution, new.order = 1:solution)
peaks.on.som(result, solution, clusterPalette=rainbow(solution),
cell.size = 0.9, mfrow=c(2,ceiling(n.errors/2)),
new.order=1:solution)
peaks.measures(result, show.measures = 1:num.measures, synthetic.peaks.col = c(2:8, 2:8), mfrow = c(2, 3), col.best.match = "black", do.out = rep(TRUE, length(show.measures)), single.errors = FALSE, show.legend = TRUE, show.main = TRUE, y.range = NULL)
scatterplot(measures, show.measures=1:num.measures)
p.validityIndex(result, validity.max)
Arguments
result
object returned from tiger measures
data.frame from which to create a scatter plot. e.g. result\$measures.uniform
solution
number of clusters to use for further evaluations (see also validityIndex) single.errors
Boolean, indicating weather different synthetic errors should be combined into a single plot or shown in multiple plots
show.legend
Boolean, indicating whether to show the legend
show.main
Boolean, indicating whether to show performance measure names as plot title
show.measures
vector of indices indicating for which performance measures to show the plots
show.synthetic.peaks
Show values of the synthetic peaks on top of the box plots.
synthetic.peaks.col
Colors to use for synthetic peaks.
do.out
vector of booleans indicating whether to exclude outliers when showing the plot
cell.size
fraction of the cell square to be filled with color
show.cell
the scores for a certain cell on the SOM can be
ploted as blue line on the box plot (see examples)
x.range
Indizes of x-values to be plotted
pmax
maximum discharge for definition of the plot range
frac.min
minimum of the y-range covered by color bars for cluster occurence
frac.max
maximum of the y-range covered by color bars for cluster occurence
clusterPalette
colors to use for the clusters
color.cut.off
Value of cluster occurence below which the color bar is set to transparent (for better readability)
legend.pos
Position of the legend
data.colors
Color definition for rainfall and runoff
show.timestep
timestep for which
the values for the performance measures are to be plotted as black lines in the box plot
xval
Values to be plotted on the x-axis (e.g. POSIX-date)
show.months
Boolean indicating whether to add month ticks to x axis
ref
Reference solution to be ploted in grey on the box plot
ref.new.order
New numbering to assign to clusters for reference solution on the box plot
ref.solutions
Number of clusters for reference solution for which to plot the box plot
validity.max
Do not plot solutions with cluster numbers resulting above in a validty index above validity.max
col.best.match
Color to use for plotting the line indicating
the position of the best match
rain.data
vector with rainfall data
show.data
boolean, indicating whether to show discharge data
show.data.measured
boolean, indicating whether to show measured discharge data
show.data.model
boolean, indicating whether to show modeled discharge data
show.errors
boolean, indicating whether to show error type bars
grid.nx
number of grid lines to be ploted (see grid) ...
additional parameters passed to plot