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Another important part of XLSTAT Basic + are the extensions XLSTAT-R and XLSTAT-R Notebook, which extend XLSTAT’s capabilities by combining Excel with R.
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.
The Sensory solution includes all Basic+ features in addition to features specifically designed for the sensory data analysis domain.
Go futher with XLSTAT Basic+ which includes Machine Learning and more modeling techniques.
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