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Random stratified (1): Rows are chosen at random within N sequences of observations of equal length, where N is determined by dividing the number of observations by the requested sample size;
支持多种语言
英语、法语、德语、意大利语、日语、西班牙语和葡萄牙语。
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.
XLSTAT Basic, essential data analysis tools for Excel
The Basic solution is a competitively-priced starter solution that includes over 100 essential statistical tools that will allow you to gain deep insight into your data.
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