varImpPlot: Variable Importance Plot
In snpRF: Random Forest for SNPs to Prevent X-chromosome SNP Importance Bias

Description Usage Arguments Value Author(s) See Also Examples

Dotchart of variable importance as measured by the modified Random Forest algorithm implemented in snpRF.

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varImpPlot(x, sort=TRUE, n.var=min(30, nrow(x$importance)),
           type=NULL, class=NULL, scale=TRUE, 
           main=deparse(substitute(x)), ...)

`x`	An object of class `snpRF`.
`sort`	Should the variables be sorted in decreasing order of importance?
`n.var`	How many variables to show? (Ignored if `sort=FALSE`.)
`type, class, scale`	arguments to be passed on to `importance`
`main`	plot title.
`...`	Other graphical parameters to be passed on to `dotchart`.

Invisibly, the importance of the variables that were plotted.

Andy Liaw, with slight modifications for use with snpRF by Greg Jenkins

snpRF, importance

set.seed(4543)
data(snpRFexample)
eg.rf <- snpRF(x.autosome=autosome.snps,x.xchrom=xchrom.snps,
               xchrom.names=xchrom.snps.names,x.covar=covariates, 
               y=phenotype,keep.forest=FALSE, importance=TRUE)
varImpPlot(eg.rf)