Editing Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2
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:'''PC5.''' Create some visualizations of your dataset: at the very least, create a boxplot and histogram. | :'''PC5.''' Create some visualizations of your dataset: at the very least, create a boxplot and histogram. | ||
:'''PC6.''' Some of you will have negative numbers. Whoops! Recode all negative numbers as missing (i.e. NA) in your dataset. Now compute a new mean and standard deviation. How does it change? ('''Hint:''' the <code>mean()</code> function may now produce an error. You have to include the argument <code>na.rm=TRUE</code> to work around this.) | :'''PC6.''' Some of you will have negative numbers. Whoops! Recode all negative numbers as missing (i.e. NA) in your dataset. Now compute a new mean and standard deviation. How does it change? ('''Hint:''' the <code>mean()</code> function may now produce an error. You have to include the argument <code>na.rm=TRUE</code> to work around this.) | ||
:'''PC7.''' Log transform your dataset (i.e., take the natural logarithm for each value). | :'''PC7.''' Log transform your dataset (i.e., take the natural logarithm for each value). Create new histograms and boxplots, as well as new mean, median, and standard deviation. | ||
:'''PC8.''' Briefly discuss any important differences you observe between the original | :'''PC8.''' Briefly discuss any important differences you observe between the original data and the log-transformed data. | ||
:'''PC9.''' Save your work and archive the project (i.e., in a .zip file) and [https://canvas.northwestern.edu/courses/90927/assignments/577505 upload it to canvas]. | :'''PC9.''' Save your work and archive the project (i.e., in a .zip file) and [https://canvas.northwestern.edu/courses/90927/assignments/577505 upload it to canvas]. | ||