Description Usage Arguments Value Time-Series Phenotypes See Also
Pad gaps in a time-series.
1 | padTimeSeries(cross, tol = 1e-05)
|
cross |
An R/qtl |
tol |
Tolerance for time step equality. |
The input cross object is returned with all
gaps in time-series phenotypes padded with NA values.
A set of phenotypes can be designated as a time-series by naming each
phenotype with the time point at which phenotype observations were made
(e.g. '0.0', '1.0', '2.0'). Time points can be in
any unit, but must be non-negative, monotonically increasing, and have
a consistent time step. If some time points are missing, the resulting
gap in time must be a multiple of the time step.
Other cross object functions: crossesEqual,
getIdColIndex,
getPhenoColIndices,
hasTimeSeriesPhenotypes,
inferStrainIndices,
inferTetradIndices,
inferTimeStep,
interpTimeSeries, permCross,
permIndices, pull.alleles,
pull.chr, pull.crosstype,
pull.ind, readCrossCSV,
readCrossHDF5, writeCrossCSV,
writeCrossHDF5
Other time-series functions: hasTimeSeriesPhenotypes,
inferTimeStep,
interpTimeSeries
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