programming in R

Using just the package randomForest and dataset(wdbc.data) from (http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/):

1) load it into R and normalize the predictor columns (3-32) appropriately. Column 2 is the response column. Shuffle the data and use 400 rows as training, and the remaining as test observations.

2) Train a Random Forest to predict if the cancer is benign or malignant. Report train and test set misclassification error and comment on the importance of the individual predictors. (Useful package: randomForest).