first time poster

i am trying to answer the following question, and having no luck:
Focus your analysis on a comparison between respondents labeled ?Low?
(coded 1) on attend4 and respondents labeled ?High? (coded 4). Then,
examine the variance of distributions. That is, run a command "var.test".
I feel like I need to recode somehow and create 2 new variables, one for
the low responses, one for the high responses. I do not know how to 'get
into' the variable to deal with just the answers...

I'm  not sure I understand what you want, but I'm guessing you have a data
frame with data like this, where the "attend4" column has the high or low
ratings, and you want to compare variances on some other variable (called
"score" in this example):

d <- data.frame( attend4=c(1,4,1,1,4), score=c(20,30,21,22,24))
d                                                              

attend4 score                                                  
1       1    20                                                  
2       4    30                                                  
3       1    21                                                  
4       1    22                                                  
5       4    24

To separate the scores for people who had low scores vs. high scores, do
something like this:

lows <- d$score[d$attend4 == 1]
lows

[1] 20 21 22

highs <- d$score[d$attend4 == 4]
highs

[1] 30 24

Now you can do a var.test on lows vs. highs.

Hope this helps.

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