HW_Project_1

  • Due Jan 19, 2018 by 11:59pm
  • Points 100
  • Submitting a file upload

Homework Project 1

Problem 1.1 (Long-to-Wide Data format translation):

We demonstrated the wide-to-long conversion in lecture. Now, let’s explore long-to-wide. Load in the long-format SOCR Parkinson'€™s Disease data Links to an external site. and export it as wide format. For simplicity, just choose only 3 variables (avoiding case and time variables). Please note that there are several time observations for each subject. You need to transform the features according to the time variable. Try to use reshape function.

Problem 1.2 (Data stratification):

Use the same SOCR Parkinson's Disease data Links to an external site. and extract rows satisfying Time=0. Complete the following protocol in R:

  • Extract the first 10 subjects
  • Find the cases for which L_caudate_ComputeArea<600.
  • Sort the subjects based on L_caudate_Volume in descending and ascending order.
  • Generate frequency and probability tables for Age and Sex.
  • 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.
Problem 1.3 (Simulation)

Generate 1,000 standard normal variables and 1,200 student t distributed random variables with df=20. Generate a quantile-quantile (Q-Q) probability plot of the two samples. Then, compare it with qqnorm of student t simulation.

 

Problem 1.4 (Define an R SD function)

Generate a function that computes a sample standard deviation function and compare it against the sd function using the simulation data you generate in the last question. Did you cover all possible situations for the input data?

1516424399 01/19/2018 11:59pm

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Total Points: 100 out of 100