plot.SVDcv: Plot and Boxplot cross-validation statistics for 'SVDcv'...

In SpatioTemporal: Spatio-Temporal Model Estimation

Description

plot and boxplot methods for class SVDcv. Plots summary statistics for the cross-validation. Plots include RMSE, R2, BIC, and scatter plots of BIC for each column.

Usage

## S3 method for class 'SVDcv'
plot(x, y = c("all", "MSE", "R2", "AIC", "BIC"),
  pairs = FALSE, sd = FALSE, ...)

## S3 method for class 'SVDcv'
boxplot(x, y = c("all", "MSE", "R2", "AIC", "BIC"), ...)

Arguments

x	SVDcv object to plot.
y	Which CV-statistic to plot. For pairs "all" implies "BIC".
pairs	TRUE/FALSE plot cross-validation statistics, or scatter plot of individual BIC:s.
sd	TRUE/FALSE add uncertainty to each CV-statistic.
...	Additional parameters passed to plot or pairs.

Value

Nothing

Author(s)

Johan Lindstrom

See Also

Other SVDcv methods: SVDsmooth, print.SVDcv

Other SVD for missing data: SVDmiss, SVDsmooth, calcSmoothTrends, print.SVDcv, updateTrend.STdata

Examples

  ##See SVDsmooth example

SpatioTemporal documentation built on May 2, 2019, 8:49 a.m.