plot.xvalid | R Documentation |
This function produces ten plots with the results produced by the
cross-validation function xvalid
.
## S3 method for class 'xvalid'
plot(x, coords, borders = NULL, ask = TRUE,
error = TRUE, std.error = TRUE, data.predicted = TRUE,
pp = TRUE, map = TRUE, histogram = TRUE,
error.predicted = TRUE, error.data = TRUE, ...)
x |
an object of the class |
coords |
an |
borders |
optional. Takes a two column matrix or data-frame with coordinates of the borders. If provided the borders are included in the errors maps. |
ask |
logical. Defines whether or not the user is prompted before each plot is produced. |
error |
logical. Defines whether the plots for the errors
( |
std.error |
logical. Defines whether the plots for the standardised errors will be produced. |
data.predicted |
logical defining whether a plot of data versus
predicted should be displayed. Defaults to |
pp |
logical defining whether a pp plot
should be displayed. Defaults to |
map |
logical defining whether a map of the errors
should be displayed. Defaults to |
histogram |
logical defining whether a histogram of the errors
should be displayed. Defaults to |
error.predicted |
logical defining whether a plot of errors versus
predicted should be displayed. Defaults to |
error.data |
logical defining whether a plot of errors versus
data should be displayed. Defaults to |
... |
other arguments to be passed to the function
|
The number of plots to be produced will depend on the input options. If the graphics device is set to just one plot (something equivalent to par(mfcol=c(1,1))) after each graphic being displayed the user will be prompt to press <return> to see the next graphic.
Alternativaly the user can set the graphical parameter to have several plots in one page. With default options for the arguments the maximum number of plots (10) is produced and setting par(mfcol=c(5,2))) will display them in the same page.
The “errors” for the plots are defined as
error = data - predicted
and the plots uses the color blue to indicate positive errors and red to indicate negative erros.
No value returned. Plots are produced on the current graphics device.
xvalid
for the cross-validation computations.
wls <- variofit(variog(s100, max.dist = 1), ini = c(.5, .5), fix.n = TRUE)
xvl <- xvalid(s100, model = wls)
#
op <- par(no.readonly = TRUE)
par(mfcol = c(3,2))
par(mar = c(3,3,0,1))
par(mgp = c(2,1,0))
plot(xvl, error = FALSE, ask = FALSE)
plot(xvl, std.err = FALSE, ask = FALSE)
par(op)
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