This is a wrapper around sample to make it
easy to select random rows from a table. Supports either integer
(sampleSize) or fractional (sampleFraction) row sampling.
For reproducible debugging, specify seed.
If both sampleSize and sampleFraction are specified,
sampleSize takes precedence.
Specifying sampleSize greater than the number of rows in the
dataframe or sampleFraction > 1 will use all rows.
.sample(data, sampleSize = NULL, sampleFraction = NULL, seed = NULL)Dataframe to be sampled.
Non-negative integer giving the number of rows to choose.
Fraction of rows to sample.
Integer passed to set.seed for reproducible sampling.
A data.frame