See inline
On 04/10/2016 16:39, mviljamaa wrote:
I'm using lm() for a model that has a predictor that has two values
{poika, tyttö} (boy and girl in Finnish).
I make a model with this categorical variable:
fit1 <- lm(dta$X.U.FEFF..mpist. ~ dta$sukup + dta$HISEI + dta$SES)
You will find your code easier to read if you go
fit1 <- lm(X.U.FEFF..mpist. ~ sukup + HISEI + SES, data = dta)
and while the variable/vector is here named as dta$sukup, what lm()
returns is a coefficient
dta$sukuptyttö
-6.19756
What does the added 'tyttö' in the variable mean? Does it mean that
'tyttö' has been interpreted as 1 and 'poika' as 0?
If you would like it the other way round then see ?relevel
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Michael
http://www.dewey.myzen.co.uk/home.html
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
