Incremental Samples from a Type Frequency List (zipfR)
Compute incremental random samples from a type frequency list (an
object of class tfl).
sample.tfl(obj, N, force.list=FALSE)
obj |
an object of class |
N |
a vector of non-negative integers in increasing order, the sample sizes for which incremental samples will be generated |
force.list |
if |
The current implementation is reasonably efficient, but will be rather slow when applied to very large type frequency lists.
If N is a single integer (and the force.list flag is not
set), a tfl object representing a random sample of size N
from the type frequency list obj.
If N is a vector of length greater one, or if
force.list=TRUE, a list of tfl objects representing
incremental random samples of the specified sizes N.
Incremental means that each sample is a superset of the
preceding sample.
tfl for more information about type frequency lists
sample.spc is an analogous function for frequency
spectra (objects of class spc)
## load Brown tfl data(Brown.tfl) summary(Brown.tfl) ## sample a tfl of 100k tokens MiniBrown.tfl <- sample.tfl(Brown.tfl,1e+5) summary(MiniBrown.tfl) ## if we repat, we get a different sample MiniBrown.tfl <- sample.tfl(Brown.tfl,1e+5) summary(MiniBrown.tfl)
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