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Use R to solve (need R code only) Breast Cancer Wisconsin (Prognostic) Data Set. The descriptions and data can be found here: http://mlr.cs.umass.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Prognostic%29 (b) For

Use R to solve (need R code only)

Breast Cancer Wisconsin (Prognostic) Data Set. The descriptions and data can be found here: http://mlr.cs.umass.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Prognostic%29

(b) For each group of patients, compute the sample mean and the sample covariance matrix of the features. Can you visualize the differences of these summary statistics between the two groups? (For example, you may create heatmaps for the covariance matrices.)

(c) For each group of patients, compute and plot the eigenvalues of the sample correlation matrix.

(d) For each group of patients, standardize the feature matrix (that is, for each column, subtract the mean and divide by the standard deviation.) Compute the singular value decomposition of the standardized feature matrix, and plot the squared singular values.

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