Plot a genome scan
Plot LOD curves for a genome scan
plot_scan1(x, map, lodcolumn = 1, chr = NULL, add = FALSE, gap = NULL, ...) ## S3 method for class 'scan1' plot(x, map, lodcolumn = 1, chr = NULL, add = FALSE, gap = NULL, ...)
x |
An object of class |
map |
A list of vectors of marker positions, as produced by
|
lodcolumn |
LOD score column to plot (a numeric index, or a character string for a column name). Only one value allowed. |
chr |
Selected chromosomes to plot; a vector of character strings. |
add |
If TRUE, add to current plot (must have same map and chromosomes). |
gap |
Gap between chromosomes. The default is 1% of the total genome length. |
... |
Additional graphics parameters. |
None.
A number of graphics parameters can be passed via ...
. For
example, bgcolor
to control the background color and
altbgcolor
to control the background color on alternate chromosomes.
col
controls the color of lines/curves; altcol
can be used if
you want alternative chromosomes in different colors.
These are not included as formal parameters in order to avoid
cluttering the function definition.
# read data iron <- read_cross2(system.file("extdata", "iron.zip", package="qtl2")) # insert pseudomarkers into map map <- insert_pseudomarkers(iron$gmap, step=1) # calculate genotype probabilities probs <- calc_genoprob(iron, map, error_prob=0.002) # grab phenotypes and covariates; ensure that covariates have names attribute pheno <- iron$pheno covar <- match(iron$covar$sex, c("f", "m")) # make numeric names(covar) <- rownames(iron$covar) Xcovar <- get_x_covar(iron) # perform genome scan out <- scan1(probs, pheno, addcovar=covar, Xcovar=Xcovar) # plot the results for selected chromosomes ylim <- c(0, maxlod(out)*1.02) # need to strip class to get overall max LOD chr <- c(2,7,8,9,15,16) plot(out, map, chr=chr, ylim=ylim) plot(out, map, lodcolumn=2, chr=chr, col="violetred", add=TRUE) legend("topleft", lwd=2, col=c("darkslateblue", "violetred"), colnames(out), bg="gray90") # plot just one chromosome plot(out, map, chr=8, ylim=ylim) plot(out, map, chr=8, lodcolumn=2, col="violetred", add=TRUE) # lodcolumn can also be a column name plot(out, map, lodcolumn="liver", ylim=ylim) plot(out, map, lodcolumn="spleen", col="violetred", add=TRUE)
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