geno.table | R Documentation |
Create table showing the observed numbers of individuals with each genotype at each marker, including P-values from chi-square tests for Mendelian segregation.
geno.table(cross, chr, scanone.output=FALSE)
cross |
An object of class |
chr |
Optional vector indicating the chromosomes to consider.
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 |
scanone.output |
If TRUE, give result in the form output by
|
The P-values are obtained from chi-square tests of Mendelian segregation. In the case of the X chromosome, the sexes and cross directions are tested separately, and the chi-square statistics combined, and so the test is of whether any of the groups show deviation from Mendel's rules.
If scanone.output=FALSE
, the output is a matrix containing, for
each marker, the number of individuals with each possible genotype, as
well as the number that were not typed. The first column gives the
chromosome ID, and the last column gives P-values from chi-square
tests of Mendelian segregation.
If scanone.output=TRUE
, the output is of the form produced by
scanone
, with the first two columns being chromosome IDs
and cM positions of the markers. The third column is
-\log_{10}(P)
from chi-square tests of Mendelian
segregation. The fourth column is the proportion of missing data.
The remaining columns are the proportions of the different genotypes
(among typed individuals).
Karl W Broman, broman@wisc.edu
summary.cross
,
drop.markers
, drop.nullmarkers
data(listeria)
geno.table(listeria)
geno.table(listeria, chr=13)
gt <- geno.table(listeria)
gt[gt$P.value < 0.01,]
out <- geno.table(listeria, scanone.output=TRUE)
plot(out)
plot(out, lod=2)
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