Hello everybody,
I used the function clogit() (package survival) to build a conditional logit
model. This is the R output of my model :
coef exp(coef) se(coef) robust se z
Pr(>|z|)
anthro 2.14776 8.56565 0.09352 0.53989 3.978 6.94e-05 ***
cor 0.92365 2.51846 0.07757 0.41944 2.202 0.027659 *
for 1.55191 4.72047 0.07513 0.41488 3.741 0.000184
***
---
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
The covariates anthro, cor and for are dichotomic covariates (0/1).
Then, I used the function predict() to calculate predicted values as follows
:
modpred <- predict(ML,type="lp")
and I obtained the following values for the first line of my original data :
anthro cor for predited
1 0 1 0 0.0839679
With modpred <- predict(ML,type="expected"), I obtained :
anthro cor for predited
1 0 1 0 0.09618096
My question is : from coefficients of clogit model, how can I find the
predicted values 0.0839679 and 0.09618096 ?
In addition, how can I obtain predicted values ranged from 0 to 1 ?
Thank you very much for your help.
Marine
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