plotPD: Function to plot partial dependence plots with bootstrap...

In davidcarslaw/deweather: Remove the influence of weather on air quality data

Function to plot partial dependence plots with bootstrap uncertainties

Description

Function to plot partial dependence plots with bootstrap uncertainties

Usage

plotPD(
  dw_model,
  variable = "all",
  intervals = 40,
  ylim = NULL,
  ylab = NULL,
  col = "tomato",
  nrow = NULL,
  polar.wd = FALSE,
  auto.text = TRUE,
  plot = TRUE
)

Arguments

dw_model	Model object from running buildMod().
variable	The variable(s) to plot. Defaults to "all", which plots all variables.
intervals	Number of intervals to to calculate partial dependence over.
ylim	user-specified ylim.
ylab	y-axis label. By default this is the pollutant name.
col	Colour(s) to use for the lines/points/uncertainty ribbons. If multiple colours are provided (e.g., cols = c("tomato", "royalblue")), they will be cycled through until all variables are plotted.
nrow	Number of rows for the plots.
polar.wd	Plot the any wind direction components, labelled "wd", on a polar axis? Defaults to FALSE.
auto.text	Either TRUE (default) or FALSE. If TRUE titles and axis labels will automatically try and format pollutant names and units properly e.g. by subscripting the ‘2’ in NO2.
plot	Should a plot be produced? FALSE can be useful when analysing data to extract plot components and plotting them in other ways.

Value

Invisibly returns a list containing the plot and the data used to make the plot to allow post processing, e.g., modifying the ggplot.

Author(s)

David Carslaw

See Also

Other deweather model plotting functions: plot2Way(), plotInfluence()

davidcarslaw/deweather documentation built on March 27, 2024, 8:18 a.m.