[R] Binary logistic model using lrm function
nisa_bakkalbasi at hotmail.com
Mon Feb 16 20:50:02 CET 2004
Could someone tell me what I am doing wrong here?
I am trying to fit a binary logistic model using the lrm function in Design.
The dataset I am using has a dichotomous response variable, 'covered'
(1-yes, 0-no) with explanatory variables, 'nepall', 'title', 'abstract',
'series', and 'author1.'
I am running the following script and all seems to be working.
Mydata <- read.table("author1.df", header=T)
dd <- datadist(nepall, title, abstract, series, author1)
fit <- lrm(covered ~ nepall + title + abstract + series +
author1, data = Mydata, x = TRUE, y = TRUE)
However, when I look at the output for predict(fit), I am getting values
below 0 and above 1, which does not make much sense. Can someone lead me in
the right direction?
Thank you for your help in advance.
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