| plotRF | R Documentation | 
Plot a grid showing the recombination fractions for all pairs of markers, and/or the LOD scores for tests of linkage between pairs of markers.
plotRF(x, chr, what=c("both","lod","rf"), alternate.chrid=FALSE,
        zmax=12, mark.diagonal=FALSE,
        col.scheme=c("viridis", "redblue"), ...)
| x | An object of class  | 
| chr | Optional vector indicating the chromosomes to plot.
This should be a vector of character strings referring to chromosomes
by name; numeric values are converted to strings.  Refer to
chromosomes with a preceding  | 
| what | Indicate whether to plot LOD scores, recombination fractions or both. | 
| alternate.chrid | If TRUE and more than one chromosome is plotted, alternate the placement of chromosome axis labels, so that they may be more easily distinguished. | 
| zmax | Maximum LOD score plotted; values above this are all thresholded at this value. | 
| mark.diagonal | If TRUE, include black line segments around the pixels along the diagonal, to better separate the upper left triangle from the lower right triangle. | 
| col.scheme | The color palette. The default is "viridis"; see Option D at https://bids.github.io/colormap/ | 
| ... | Generally ignored, but you can include  | 
Uses image to plot a grid showing the
recombination fractions and/or LOD scores for all pairs of markers.
(The LOD scores are for a test of r = 1/2.)
If both are plotted, the recombination fractions are in the upper left
triangle while the LOD scores are in the lower right triangle.
With col.scheme="viridis" (the default), purple corresponds to
a large LOD score or a small recombination fraction, while yellow is
the reverse. With col.scheme="redblue", red corresponds to a
large LOD or a small recombination fraction, while blue is the
reverse.  Note that missing values appear in light gray.
Recombination fractions are transformed by -4(\log_2{r}+1) to make them on the same sort of scale as LOD
scores.  Values of LOD or the transformed recombination fraction that
are above 12 are set to 12.
None.
Karl W Broman, broman@wisc.edu
est.rf, pull.rf, plot.rfmatrix,
image,
badorder, ripple 
data(badorder)
badorder <- est.rf(badorder)
plotRF(badorder)
# plot just chr 1
plotRF(badorder, chr=1)
# plot just the recombination fractions
plotRF(badorder, what="rf")
# plot just the LOD scores, and just for chr 2 and 3
plotRF(badorder, chr=2:3, what="lod")
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