R: Generation of pairs plot for a data.list.

pairs.data.list

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 `subset.data.list()`.
`nms`	The names of the variables to be included. Passed to `subset.data.list()`.
`kseq`	The horizons to be included. Passed to `subset.data.list()`.
`lagforecasts`	Lag the forecasts such that they are synced with obervations. Passed to `subset.data.list()`.
`pattern`	Regex pattern to select the included variables. Passed to `subset.data.list()`.
`lower.panel`	Passed to `pairs()`.
`panel`	Passed to `pairs()`.
`pch`	Passed to `pairs()`.
`cex`	Passed to `pairs()`.
`...`	Passed to `pairs()`.

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)