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]