Description Usage Arguments Value Author(s) Examples
This function uses the mean X and Y chromosome intensities to predict the sex of each sample. Linear discriminant analysis from the MASS package is used.
1 | sex.predict(x, y, snps, plot = FALSE)
|
x |
Numeric matrix, num.samples x num.snps, containing X intensities for all samples. |
y |
Numeric matrix, num.samples x num.snps, containing Y intensities for all samples. |
snps |
Data.frame containing SNP IDs, chromosomes, Mb and cM locations in columns 1 through 4, respectively. |
plot |
Boolean that will create a plot of mean X and Y Chr intensities if TRUE. Default = FALSEALSE. |
Character vector with sex assignments.
Daniel Gatti
1 2 3 4 5 | ## Not run:
data(snps)
sex.predict(x, y, sex = rep(F, ncol(x)))
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.