plotCrs: Plot Results of CRS Models

In micEconNP: Microeconomic Analysis with Non-Parametric Methods

Description

This command creates plots that show the relationship between each explanatory variable and the dependent variable of CRS models holding all other explanatory variables constant at their median/modal values.

Usage

   plotCrs( x )

Arguments

x	an object of class crs (returned by crs).

Author(s)

Arne Henningsen

See Also

crs.

Examples

   set.seed(42)
   n <- 250
   num.eval <- 50
   myData <- data.frame( x1 = runif( n ), x2 = runif( n ) )
   myData$z <- round( runif( n, min = 0, max = 3 ) )
   myData$dgp <- cos( 2 * pi * myData$x1 ) + sin( 2 * pi * myData$x2 ) +
      myData$z / 5
   myData$z <- factor( myData$z )
   myData$y <- myData$dgp + rnorm( n, sd = 0.5 )
   
   model <- crs( y ~ x1 + x2 + z, deriv = 1, nmulti = 1, data = myData )
   
   plotCrs( model )

micEconNP documentation built on May 2, 2019, 6:30 p.m.