[R] How to extract the Deviance of a glm fit result

dear List: glm(a~b+c,family=binomial,data=x)->fit deviance(fit) returns the same as the residual deviance. I don't not know much about logistic regression.Some book tells that: " Deviance (likelihood ratio statistic): Deviance = -2log( likelihoodof the currentmodel /likelihoodof thesaturated

Re: [R] Problems with NA's

somewhere I read that " !is.na(your_vector)" is better than "your_vector!=NA" . Thomas L Jones, PhD wrote: > > Difficulty handling NA's: > Assume that I have a numeric vector y. For simplicity, assume that it has > 10 > elements. Assume that the third element has the value NA. I give it the >

[R] Is there any document explaining the pararell regression detailly ?

I don't understand the output from a pararell regression , I don't know how to extract components of the result . can anyone send me files explaining the pararell regression detailly ? I will be very grateful to you -- View this message in context: http://www.nabble.com/Is-there-any-document-ex

[R] how to extract the original data of a glm object

my function is glm(a~log(b)+c+d+e,family=binomial,data=f)->aa I want to extract the original data set of aa. How to do it ? You may suggest the model.frame() function. In fact ,i have tried it. model.frame returns a data frame of containing a,log(b) NOT b,c,d,e I want to extract a d

Re: [R] how to randomize a vector

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[R] how to randomize a vector

I have a vector whose length is nearly 70 thousand. I need randomize it for 1000 times . for randomizing , I mean ,the elements of the vector remain intact while their order in the vector get changed randomly. I have written a function which seems to be able to solve short vectors , but waste a l