A dataset containing two groups of normal bivariate distributions with diferent means and covariance matriz used to test the bpwpm2 model. Group 1 has 200 observations with mean (2,2) and covariance matrix (0.25, 0.35; 0.35, 1). Group 2, 150 observations, with mean (4,4) and covariance matrix (1, -0.24; -0.24, 0.64). Afterwards, the 13th right-most observation of Group 2 were manually re-coded to belong to Group 1 in order to have disjoined groups to make the classification problem more intresting.
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A data frame 350 rows and 3 variables:
factor, response variable used to codify the groups, also known as labels
numeric, first covariable used for clasification
numeric, second covariable used for clasification
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