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
See QTLcart(1) for more information on the global options
-h for help, -A for automatic, -V for non-Verbose
-W path for a working directory, -R file to specify a resource
file, -e to specify the log file, -s to specify a seed for the
random number generator and -X stem to specify a filename stem.
The options below are specific to this program.
If you use this program without specifying any options, then you will
get into a menu that allows you to set them interactively.
The input format of the molecular map should be the same as that of the output
format from the program
Rmap. The input format of the individual data should be the same as the output format
of the program
Calculates basic statistics on the dataset in corn.cro using the genetic linkage map
in corn.map. The program will display and interactive menu for setting
options and print out messages to the screen while running. These
can be turned off with -A and -V, respectively. If the dataset in
corn.cro has more than one trait, then all traits will be analyzed.
Christopher J. Basten, B. S. Weir and Z.-B. Zeng
Bioinformatics Research Center, North Carolina State University
1523 Partners II Building/840 Main Campus Drive
Raleigh, NC 27695-7566 USA