Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 2

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Programming Challenges

PC1. Follow, and then download, my github repsitory for the class assignments.

PC2. Once you have it, find the RData file in the subdirectory "week_2" with your name associated with it. Load that file into R. It should load up one variable. Find that variable.

PC3. Once you've found the variable, compute and present a series of statistics on it that you should already be familiar with. Use functions to compute the mean, median, variance, standard deviation, and interquartile range?

PC4. Although these basic functions all exist, many things you will want to do in the future won't have functions. Write R code to compute these three statistics by hand: mean, median, and mode. It's OK if getting the answer involves some eyeballing or counting this by hand. But do get the answer and be ready to walk us through how you did it.

PC5. Create a number of visualizations of your dataset: at the very least, create a boxplot, histogram, and density plot.

PC6. Some of you will have negative numbers. Whoops! Those were not supposed to be there. Recode all negative numbers as missing in your dataset. Now create compute a new mean and standard deviation. How does it change?

PC7. Log transform your dataset. Create new histograms, boxplots, and means, median, and standard deviations.

PC8. Commit the code that does all of these into a folder called "week_02" in your git repository. Publish this on Github and email me with the link to your published Github folder.