Qstats does some basic statistics on a dataset of quantitative traits.
It plots a histogram and calculates the sample size, mean, variance
standard deviation, skewness, kurtosis, and average deviation for a
quantitative trait. The program also summarizes missing marker and trait data, as will as
determining the marker types (dominant or codominant). Finally, Qstats will
test whether markers are segregating at random.
It requires a molecular map that could be a random one produced by
Rmap, or a real one in the same format as the output of
Rmap. The sample could be a randomly generated one from
Rcross or a real one in the same format as the output of