sectionPlot: Plots the main condvis display

In condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny

Plots the main condvis display

Description

The section plot relates a fit or fits to one or two predictors (sectionvar), for fixed values of other predictors in conditionvals.

Usage

sectionPlot(
  CVdata,
  CVfit = NULL,
  response = NULL,
  preds,
  sectionvar,
  conditionvals,
  pointColor = "steelblue",
  sim = NULL,
  threshold = 1,
  linecols = NULL,
  dataplot = "pcp",
  gridsize = 50,
  probs = FALSE,
  view3d = FALSE,
  theta3d = 45,
  phi3d = 20,
  xlim = NULL,
  ylim = NULL,
  zlim = NULL,
  pointSize = 1.5,
  predictArgs = NULL,
  resetpar = TRUE,
  density = FALSE,
  showdata = density == FALSE,
  returnInfo = FALSE,
  pointColorFromResponse = FALSE,
  pcolInfo = NULL
)

Arguments

CVdata	the dataset used for the fit
CVfit	a fit or list of fits
response	name of response variable
preds	names of predictors
sectionvar	section variable, or variables.
conditionvals	conditioning values. A vector/list or dataframe with one row
pointColor	a color, vector of colors,or the name of variable to be used for coloring
sim	vector of similarity weights
threshold	used for similarity weights, defaults to 1.
linecols	vector of line colours
dataplot	"pcp" or "pairs". Used when there is no response, or more than two sectionvars.
gridsize	used to construct grid of fitted values.
probs	Logical; if TRUE, shows predicted class probabilities instead of just predicted classes. Only available with two numeric sectionvars and the model's predict method provides this.
view3d	Logical; if TRUE plots a three-dimensional regression surface if possible.
theta3d, phi3d	Angles defining the viewing direction. theta3d gives the azimuthal direction and phi3d the colatitude. Seepersp.
xlim	passed on to plot
ylim	passed on to plot
zlim	passed on to plot
pointSize	used for points
predictArgs	a list with one entry per fit, giving arguments for predict
resetpar	When TRUE (the default) resets pars after drawing.
density	default FALSE. Use TRUE if model is a density function.
showdata	If FALSE, data on section not shown.
returnInfo	If TRUE, returns coordinates for some plots
pointColorFromResponse	ignore–For interactive use only
pcolInfo	ignore–For interactive use only

Details

The type of plot depends on the fit and the section variables. Observations with non zero values of the similarity weights sim are shown. If no fit is provided, the data are shown as a parallel coordinate plot or pairs plot, depending on dataplot. The fit could also be a density estimate.

Value

plotted coordinates, for some plots

Examples

#Fit a model. 
f <- lm(Fertility~ ., data=swiss)
svar <- "Education"
preds <- variable.names(f)[-1]
sectionPlot(swiss,f, "Fertility",preds,svar, swiss[12,])
sectionPlot(swiss,f, "Fertility",preds,svar, apply(swiss,2,median))
sectionPlot(swiss,f, "Fertility",preds,preds[1:2], apply(swiss,2,median))
sectionPlot(swiss,f, "Fertility",preds,preds[1:2], apply(swiss,2,median), view3d=TRUE)

# PCP of swiss data, showing only cases whose percent catholic and infant.mortality are
# similar to those of the first case
sectionPlot(swiss,preds=names(swiss),
           sectionvar= names(swiss)[1:4],conditionvals=swiss[1,] )     
# Use dataplot="pairs" to switch to a pairs plot

# A density estimate example
 ## Not run: 
 library(ks)
fde <-kde(iris[,1:3])
sectionPlot(iris,list(kde=fde), response=NULL,
           preds=names(iris)[1:3],
           sectionvar=names(iris)[1],
           conditionvals=iris[1,],density=TRUE)
 
## End(Not run)

condvis2 documentation built on Sept. 14, 2022, 5:06 p.m.