| conditionPlot {condvis2} | R Documentation | 
Plots a conditionPlot.
Description
Plots a conditionPlot, showing one, two or many predictors. The predictor setting in varVal is drawn in magenta.
Usage
conditionPlot(
  CVdata,
  var,
  varVal,
  pointColor = "steelblue",
  sim = NULL,
  resetpar = TRUE,
  plotrows = NULL
)
Arguments
CVdata | 
 the dataset used for the fit  | 
var | 
 one more condition vars. Draws a parallel coordinate plot for more than two.  | 
varVal | 
 the current setting of the conditionvars, shown in magenta.  | 
pointColor | 
 a color, vector of colors,or the name of variable to be used for coloring  | 
sim | 
 If non-NULL should be a vector of similarity weights.  | 
resetpar | 
 For use withing shiny app.  | 
plotrows | 
 If non-NULL should be a vector of case indices  | 
Examples
conditionPlot(mtcars, c("wt","hp"), c("wt"=3, "hp"=200), pointColor="am")
conditionPlot(mtcars, c("wt","hp"), mtcars[1,], pointColor="am")
#Calculate similarity using wt, hp observations from first case
sim <- similarityweight(mtcars[1, c("wt","hp")], mtcars[, c("wt","hp")], threshold=1)
# Marks points with black border with positive sim values. These are points within 1 (threshold) sd
#of pink cross.
conditionPlot(mtcars, c("wt","hp"), mtcars[1,], pointColor="am", sim=sim)
sim <- similarityweight(mtcars[1, ], mtcars, threshold=2)
conditionPlot(mtcars, names(mtcars), mtcars[1,], sim=sim)
[Package condvis2 version 0.1.2 Index]