TRAMPsamples objects (collections of TRFLP patterns). Samples
contrast with TRAMPknowns) in that
samples contain primarily unidentified profiles. In contrast with
knowns, samples may have many peaks per enzyme/primer combination.TRAMPsamples(data, info=NULL, warn.factors=TRUE, ...)
## S3 method for class 'TRAMPsamples':
labels(object, ...)
## S3 method for class 'TRAMPsamples':
summary(object, include.info=FALSE, ...)info or data are converted into factors?TRAMPsamples object.info component of the TRAMPsamples
object?TRAMPsamples: Additional objects to incorportate
into a TRAMPsamples object. Other methods: Further arguments
passed to or from other methods.TRAMPsamples object, as described
above.x (from info$sample.pk).sample.pk) as rows and each combination (in the format
_ ) as columns.info holds information
about the individual samples, and data holds information about
individual peaks (many of which belong to a single sample).
Column definitions:
info:[object Object],[object Object]data:[object Object],[object Object],[object Object],[object Object],[object Object]TRAMPsamples object; any extra objects passed (via
...) will be included in the final TRAMPsamples object.
If info is omitted, then a basic data.frame will be generated,
containing just the unique values of sample.fk, and
NA for species.plot.TRAMPsamples and
summary.TRAMPsamples, for plotting and summarising
TRAMPsamples objects.
TRAMPknowns, which constructs an analagous object to
hold TRAMP, for analysing TRAMPsamples
objects.
load.abi, which creates a TRAMPsamples object
from Gene Mapper (Applied Biosystems) output.