Using the .csv version of the data you read in,
1. Examine the structure of the first 10 variables using the str() function.
2. What is the class of the variable games?
3. What does the summary of the variable games tell you?
1.
str(mcs1,list.len=10)
'data.frame': 11872 obs. of 52 variables:
$ mcsid : Factor w/ 11714 levels "M10002P","M10007U",..: 1 2 3 4 5 6 7 8 9 10 ...
$ cnum : int 1 1 1 1 1 1 1 1 1 1 ...
$ sex : Factor w/ 2 levels "boy","girl": 1 1 2 1 2 2 2 1 1 1 ...
$ tv : Factor w/ 9 levels "","1 hour t",..: 3 4 8 3 4 4 3 2 1 7 ...
$ games : Factor w/ 9 levels "","1 hour t",..: 8 6 8 2 9 2 8 3 1 4 ...
$ compu : Factor w/ 3 levels "","no","yes": 3 2 3 3 2 3 2 3 1 3 ...
$ internet : Factor w/ 9 levels "","1 hour t",..: 2 6 8 2 5 3 2 7 1 3 ...
$ social : Factor w/ 9 levels "","1 hour t",..: 7 5 8 8 2 3 2 6 1 7 ...
$ engl : Factor w/ 4 levels "","Agree","Disagree",..: 2 4 2 2 2 2 2 2 1 3 ...
$ mths : Factor w/ 4 levels "","Agree","Disagree",..: 4 3 3 2 2 2 2 3 1 2 ...
[list output truncated]
2.
class(mcs1$games)
[1] "factor"
The class is “factor”
3.
summary(mcs1$games)
1 hour t 2 hours 3 hours 5 hours 7 hours Half an Less tha
360 1751 1583 1478 770 862 1343 1565
None
2160
The summary provides the number of observations at each category of the variable games.
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