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Co-Design with Our Users: Analyzing Performance in a CATA Experiment and Further Developing CATATIS with Givaudan
Our R&D and Engineering teams are always working to bring new ergonomic functionalities and innovative statistical tools to XLSTAT. Many of these developed or improved features come from user requests or as a solution to a specific use case. The CATATIS feature is one of them.
Use of data sampling
Sampling is one of the fundamental data analysis and statistical techniques. Sampling aims at extracting a sample of size n from a dataset.
The Sensory solution includes all Basic+ features in addition to features specifically designed for the sensory data analysis domain.
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.
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