Editing Statistics and Statistical Programming (Winter 2021)/Problem set 5 (section)

===PC5. Cleanup/tidy your data===
Once again, some cleanup and recoding is needed for this week's data. It turns out that the variables <code>i</code> and <code>j</code> are really dichotomous "true/false" variables that have been coded as 0 and 1 respectively in this dataset. Recode these columns as <code>logical</code> (i.e., "TRUE" or "FALSE" values). The variable <code>k</code> is really a categorical variable. Recode <code>k</code> as a factor and change the numbers so that they are replaced with the following values or levels: 0="none", 1="some", 2="lots", 3="all". *Your data file may only contains the values 1,2,3. The goal is to end up with a factor (so the command <code>class(k)</code> should return the value <code>TRUE</code>) where those text strings are the levels of the factor.