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Want a bit more? Check out XLSTAT Basic+, which includes all Basic features, machine learning, and other modeling techniques, as well as the ability to call R functions like neuralnet and GARCH.
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.
You’ll benefit from data preparation and visualization tools, parametric and nonparametric tests, modeling methods (ANOVA, regression, generalized linear models, nonlinear models), data mining features (principal component analysis, correspondence analysis…) and clustering methods (Agglomerative Hierarchical Clustering, K-means…).
直观
对话框和结果的组织结构清晰，便于数据分析和结果解释。
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