segregationRatios function

Compute observed segregation proportions for dominant markers in autopolyploids

Computes segregation ratios for a matrix of markers where the rows are markers and the columns are individuals and the markers are recorded as 0's and 1's

segregationRatios(x, drop.cols = NULL)

Arguments

• x: matrix of 0's, 1,s and NA's representing scores of dominant markers where the rows are markers and the columns are individuals
• drop.cols: numeric columns to drop when calculating segregation ratios

Returns

Returns an object of class segRatio containing - r: no. of 1's for each individual

• n: total no. of markers present for each individual

• seg.ratio: segregation proportion for each individual

• n.individuals: total number of individuals

Author(s)

Peter Baker p.baker1@uq.edu.au

See Also

testSegRatio: chi squared $\chi^2$ and tests and Binomial confidence intervals for assigning marker dosage, expected.segRatio: compute expected segregation proportions for various dosages for dominant markers in regular autopolyploids

Examples

## simulate small autotetraplid data set
a1 <- sim.autoMarkers(4,c(0.8,0.2),n.markers=20,n.individuals=10)
print(a1)

print(segregationRatios(a1$markers))