pairs.data.list {onlineforecast} | R Documentation |
Generation of pairs plot for a data.list.
Description
Generate a pairs plot for the vectors in the data.list.
Usage
## S3 method for class 'data.list'
pairs(
x,
subset = NA,
nms = NA,
kseq = NA,
lagforecasts = TRUE,
pattern = NA,
lower.panel = NULL,
panel = panel.smooth,
pch = 20,
cex = 0.7,
...
)
Arguments
x |
The data.list from which to plot. |
subset |
The subset to be included. Passed to |
nms |
The names of the variables to be included. Passed to |
kseq |
The horizons to be included. Passed to |
lagforecasts |
Lag the forecasts such that they are synced with obervations. Passed to |
pattern |
Regex pattern to select the included variables. Passed to |
lower.panel |
Passed to |
panel |
Passed to |
pch |
Passed to |
cex |
Passed to |
... |
Passed to |
Details
A very useful plot for checking what is in the forecasts, how they are synced and match the observations.
Examples
# Take a subset for the example
D <- subset(Dbuilding, c("2010-12-15","2011-01-15"), pattern="^Ta|^I", kseq=1:3)
pairs(D)
# If the forecasts and the observations are not aligned in time,
# which is easy to see by comparing to the previous plot.
pairs(D, lagforecasts=FALSE)
# Especially for the solar I syncronization is really important!
# Hence if the forecasts were not synced properly, then it can be detected using this type of plot.
# Alternatively, lag when taking the subset
D <- subset(Dbuilding, c("2010-12-15","2011-01-15"), pattern="^Ta|^I", kseq=1:3, lagforecasts=TRUE)
pairs(D, lagforecasts=FALSE)
[Package onlineforecast version 1.0.2 Index]