Displaying 3 results from an estimated 3 matches for "model_b".
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model_1
2011 Sep 08
2
Extract r.squared using cbind in lm
...ared,
but that is not working in in the case with cbind.
Here an example to illustrate the problem:
a <- c(1,3,5,2,5,3,1,6,7,2,3,2,6)
b <- c(12,15,18,10,18,22,9,7,9,23,12,17,13)
c <- c(22,26,32,33,32,28,29,37,34,29,30,32,29)
data <- data.frame(a,b,c)
model_a <-lm(b~a,data=data)
model_b <-lm(cbind(b,c)~a,data=data)
summary(model_a)$r.squared
summary(model_b)$r.squared
How can I access r.squared in my case? Is there any option?
In the end, I want a dataframe containing the the intercept,
slope, p-value and r.squared for all Y's of my regression.
thank you
Johannes
--
2012 Sep 08
1
Using predict() After Adding a Factor to a glm.nb() Model
...extracted predicted values using:
py<-data.frame(seq(from=min(data$year), to=max(data$year), by=1))
p1<-predict(model_a, newdata=py, se.fit=TRUE, type='response')
f1<-p1$fit
plot(count~year, data=data)
lines(py$year, f1)
# Works perfectly.
# Now, I want to add site as a factor:
model_b<-glm.nb(count~year+as.factor(site), data=data)
# I have tried a couple different ways of predicting the values based
on model_b, but am having trouble.
py<-data.frame(seq(from=min(data$year), to=max(data$year), by=1))
p1<-predict(model_b, newdata=py, se.fit=TRUE, type='response'...
2007 Dec 13
4
please explain find_with_ferret, retrieve_records, :include and :conditions
Hello, I''m using find_with_ferret to search multiple models and it
works great. The trouble is I need to filter the results
using :include and :conditions.
I get two errors depending on the syntax I use in the search. Reading
the source, I see the retrieve_records method seems to filter
the :include and :conditions so that they only apply to the relevant
model when searching