A Starting Point {bqtl} | R Documentation |
Some pointers to a few key functions in BQTL
Be sure to check out all of the free documentation that comes with R.
The example
function is very
helpful in getting familiar with a new function. You type
example(fun)
and the examples in the documentation for
fun
are run, then you can read the documentaiton to get a bette
sense of what is really going on. My personal favorite is to type
par(ask=T)
, hit the 'enter' key, then example(image)
,
and 'enter' again; after each display you hit the 'enter' key to get
to the next one.
library(bqtl)
is needed to load the BQTL functions and data
sets.
\
make.map.frame
defines the map,
marker.levels
The help page describes several functions that define the coding scheme for marker levels,
make.analysis.obj
combines marker data, phenotype
data,and the map.frame
to create an object that can be
used by data analysis functions.
\
bqtl
does a host of things from marker regression
and interval mapping to full maximum likelihood. The best way to
get started is to run example(bqtl)
and take a look at
the resulting output.
locus
is very helpful in specification of runs.
\
linear.bayes
For a good starting point try example(linear.bayes)
Charles C. Berry cberry@ucsd.edu