# plotRsq: Plot R square data In eqtl: Tools for analyzing eQTL experiments: A complementary to Karl Broman's 'qtl' package for genome-wide analysis

## Description

Draw histograms of R square value distribution for `rsq` object.

## Usage

 `1` ```plotRsq( rsq, par=c(2,2), ...) ```

## Arguments

 `rsq` An object of class `rsq`. See `calc.Rsq` for function details. `par` A vector of two integers corresponding to the `mfrow` parameter of the `par()` function. `...` Passed to the function `hist` and `par` when they are called.

## Details

Draw histograms of R square value distribution from an object of class `rsq`. Three histograms are drawn: the first one shows the R square value distribution of single QTLs. The second shows the distribution for QTL interactions. The last one shows all R square values distribution.

none

## Author(s)

Hamid A. Khalili

`calc.Rsq`,`peak.2.array`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14``` ```data(seed10); seed10 <- calc.genoprob( cross=seed10, step=2, off.end=0, error.prob=0, map.function='kosambi', stepwidth='fixed'); seed10 <- sim.geno( cross=seed10, step=2, off.end=0, error.prob=0, map.function='kosambi', stepwidth='fixed'); out.em <- scanone( seed10, pheno.col=1:50, model='normal', method='hk'); out.peak <- define.peak(out.em,'all'); out.rsq <- calc.Rsq(seed10,out.peak); # plotting R quare data plotRsq(out.rsq); plotRsq(out.rsq,par=c(1,3)); ```