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XLSTAT data sampling options
XLSTAT offers the following methods for generating a sample of N observations from a table of M rows:
Test an hypothesis on one sample, then test it on another;
Obtain very small tables which have the properties of the original table.
User defined: A variable indicates the frequency of each observation within the output sample.
Training and test sets: Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a number of rows.
Training and test sets (%): Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a row number percentage from the initial data set.
Benefit from a solution that speaks your language (products, assessors, attributes…) and provides actionable results. With XLSTAT Sensory, you can empower your R&D department to develop the right products for target audiences at a reasonable cost.
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