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Last data update: 2014.03.03

R: Plot RSSs of a CES Function Estimated by Grid Search

plot.cesEst

R Documentation

Plot RSSs of a CES Function Estimated by Grid Search

Description

Plot a scatter plot, where the values of rho are on the x axis and the corresponding sums of the squared residuals obtained by a grid search for rho are on the y axis. Estimations that did not converge are marked with red.

Note that this method can be applied only if the model was estimated by a grid search for rho, i.e. cesEst was called with argument rho set to a vector of more than one values for rho.

Usage

## S3 method for class 'cesEst'
plot( x, negRss = TRUE, bw = FALSE, ... )

Arguments

`x`	object returned by `cesEst` if it was called with argument `rho` set a vector containing more than one value for rho so that a grid search was performed.
`negRss`	logical. Indicates whether the negative sum of squared residuals should be plotted in 3D plots (ignored in 2D plots).
`bw`	logical. Indicates whether 3D plots should be in black-and-white or colored.
`...`	All further arguments are passed to `plot.default` or `persp`.

Author(s)

Arne Henningsen and Geraldine Henningsen

Examples

   data( germanFarms, package = "micEcon" )
   # output quantity:
   germanFarms$qOutput <- germanFarms$vOutput / germanFarms$pOutput
   # quantity of intermediate inputs
   germanFarms$qVarInput <- germanFarms$vVarInput / germanFarms$pVarInput

   ## CES: Land & Intermediate Inputs
   cesLandInt <- cesEst( yName = "qOutput",
      xNames = c( "land", "qVarInput" ), data = germanFarms,
      rho = seq( from = -0.6, to = 0.9, by = 0.3 ) )

   # plot the rhos against the sum of squared residuals
   plot( cesLandInt )