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1 Confirm that you have installed R/RStudio

You should be able to download and load in RStudio the Foundations of R code. Then run all the examples.

2 Long-to-Wide Data format translation

Load in the long-format SOCR Parkinson’s Disease data and export it as wide format. You can only do 5 variables you choose (not all), but note that there are several time observations for each subject. You can try using the reshape command.

3 Data Frames

Create a Data Frame of the SOCR Parkinson’s Disease data and compute a summary of 3 features you select.

4 Data stratification

Using the same SOCR Parkinson’s Disease data:

  • Extract the first 10 subjects
  • Find the cases for which L_caudate_ComputeArea<600.
  • Sort the subjects based on L_caudate_Volume.
  • Gernerate frequency and probability tables for Gender and Age.
  • Compute the mean Age and the correlation between Age and Weight.
  • Plot Histogram and density of R_fusiform_gyrus_Volume and scatterplot L_fusiform_gyrus_Volume and R_fusiform_gyrus_Volume.

Note: You don’t have to apply these data filters sequentially, but this can also be done for deeper stratification.

5 Simulation

Generate 1,000 standard normal variables and 1,200 Cauchy distributed random variables and generate a quantile-quantile (Q-Q) probability plot of the pair of samples.

6 Programming

Generate an R function that computes the arithmetic average and compare it against the mean() function.

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