perct.var: Effect size
In egking/DSPRqtl: Analysis of DSPR phenotypes in R

perct.var calculates the percent of the variance explained by the QTL.

1	perct.var(peakChr, peakPos, model, design, phenotype.dat, id.col, sex)

`peakChr`	character vector of length one. Must be one of the major chromosome arms in the Drosophila genome ('X','2L','2R','3L',or '3R').
`peakPos`	numeric vector of length one. A position in base pairs in the DSPR position list (every 10kb).
`model`	an object of class formula: a symbolic description of the null model to be fitted at each position (e.g., `phenotype ~ 1`). The genotype effects to be fitted will be added based on `design`.
`design`	a character string. One of either 'inbredA', 'inbredB', or 'ABcross' corresponding to the pA and pB set of inbred RILs or the pA-pB cross design. For round robin designs or other cross designs, use the more flexible DSPRgenos and standard model fitting functions in R.
`phenotype.dat`	`data.frame` containing phenotype data. For inbred designs, there must be a column of numeric RIL ids (must be named patRIL). For the ABcross design, there must be both a patRIL and matRIL column specifying the pA and pB RIL ids.
`id.col`	a character string identifying the name of the column containing unique ids for the samples. e.g. for an inbred design, the patRIL column can be used as the id.
`sex`	a character string (either 'm' or 'f') specifying the sex of the measured individuals. This argument must be supplied for a cross design for correct specification of the genotypes on the X chromosome.