View source: R/conditionplots.R
conditionPlot | R Documentation |
Plots a conditionPlot, showing one, two or many predictors. The predictor setting in varVal
is drawn in magenta.
conditionPlot( CVdata, var, varVal, pointColor = "steelblue", sim = NULL, resetpar = TRUE, plotrows = NULL )
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 |
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)
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