Description Usage Arguments Author(s) References See Also Examples
Visualization of pairwise Linkage Disequilibrium (LD) estimates generated by
function pairwiseLD
versus marker distance. A single plot is
generated for every chromosome.
1 2 3 4 5 6 7 8 9 10 11 12 13 |
LDdf |
object of class |
chr |
|
type |
Character string to specify the type of plot. Use |
breaks |
|
n |
|
file |
|
fileFormat |
|
onefile |
|
colL |
The color for the line if |
colD |
The color for the dots in the plot of |
... |
Further arguments for |
Valentin Wimmer, Hans-Juergen Auinger and Theresa Albrecht
For nonlinear regression curve: Hill WG, Weir BS (1988) Variances and covariances of squared linkage disequilibria in finite populations. Theor Popul Biol 33:54-78.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## Not run:
library(synbreedData)
# maize data example
data(maize)
maizeC <- codeGeno(maize)
# LD for chr 1
maizeLD <- pairwiseLD(maizeC, chr = 1, type = "data.frame")
# scatterplot
LDDist(maizeLD, type = "p", pch = 19, colD = hsv(alpha = 0.1, v = 0))
# stacked bars with default categories
LDDist(maizeLD, type = "bars")
# stacked bars with user-defined categories
LDDist(maizeLD, type = "bars", breaks = list(
dist = c(0, 10, 20, 40, 60, 180),
r2 = c(1, 0.6, 0.4, 0.3, 0.1, 0)
))
## End(Not run)
|
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