Displaying 3 results from an estimated 3 matches for "f_ocur".
2012 Nov 05
1
Logistic Regression with Offset value
Dear R friends.
I´m trying to fit a Logistic Regression using glm( family='binomial').
Here is the model:
*model<-glm(f_ocur~altitud+UTM_X+UTM_Y+j_sin+j_cos+temp_res+pp,
offset=(log(1/off)), data=mydata, family='binomial')*
mydata has 76820 observations.
The response variable f_ocur) is a 0-1.
This data is a SAMPLE of a bigger dataset, so the idea of setting the
offset is to account that the data used here repre...
2012 Nov 14
2
Jackknife in Logistic Regression
...lves to split the data in let’s say 5 random subsets
and then obtaining the 7 estimated parameters by dropping one subset at a
time from the dataset. Then I can estimate uncertainty of the parameters.
I understand the procedure but I´m unable to do it in R.
This is the model that I´m
fitting:*glm(f_ocur~altitud+UTM_X+UTM_Y+j_sin+j_cos+temp_res+pp+offset(log(1/off)),
data=mydata, family='binomial')*
Does anyone have an idea of how can I make this possible?
I´d really appreciate if someone could help me with this.
Thank you in advance.
P.S. More information can be added if needed.
Best...
2012 Oct 31
0
predict glm() with offset
...uestion about running a glm( family= 'binomial', *offset=T*), (I
know offset is a vector of values)
My doubt is about predicting the values on a new data. Does the predict()
function considers the offset? o should I especified something?
Here is the model I´m using:
*model<-stepAIC(glm(f_ocur~altitud+UTM_X+UTM_Y+j_sin+j_cos+temp_res+pp,
offset=(log(1/offset)) data=data,
family='binomial', ), direction='both')*
Now, I want to get the estimated values, how should I do it considering
that I´m stablishing an offset value in the model?
If anyone can help me, i´d really appr...