| prepare_Subsample {sandbox} | R Documentation |
Prepare Subsamples from a Sample Dataset
Description
The function splits the master sample in a set of subsamples. The
step can be done by creating equally large subsamples in terms of
contained grains (parameter number), by volume (parameter
volume) or by weight (parameter weight).
Usage
prepare_Subsample(sample, number, volume, weight)
Arguments
sample |
data.frame, sample object to be distributed to aliquots. |
number |
numeric value, number of evenly large subsamples to be created |
volume |
numeric value, volume of subsamples. Remainder of the master sample that is too small for the last subsample is removed. Volume must be given in m^3 and takes packing density of the sample into account. |
weight |
numeric value, weight of the subsamples. Remainder of the master sample that is too small for the last subsample is removed. Weight is calculated based on density of each grain. Weight must be given in kg. |
Value
list object with grains organised as aliquots, i.e. list elements.
Author(s)
Michael Dietze, GFZ Postdam (Germany)
Examples
## load example data set
data(sample, envir = environment())
## create 10 subsamples
prepare_Subsample(sample, 10)