search for: aprob

...ue is similar to previous posts (cannot get it to predict using new data), none of the suggested fixes are working. The important bits of my code: set.seed(644) n0=200 #number of observations W1=rnorm(n0,mean=2,sd=2) #Use rnorm to generate W1 W2=rnorm(n0,mean=3,sd=8) #Use rnorm to generate W1 Aprob=matrix(.2, nrow=n0, ncol=1) #generating the probability of A #generating probability of A dependant on W1 for(i in 1:n0){ if (W1[i]>1.5) {Aprob[i]=0.4} } A=matrix(rbinom(n0, 1, Aprob), nrow=n0, ncol=1) #generating the 0/1 exposure Yprob=1/(1+exp(-(10*A-5*(W1)^2+2*W2))) Y=matrix(rbinom(n0, 1, Y...

Hi all, I have the following code, When I run the code, it never terminate this is because of the while loop i am using. In general, if you need a loop for which you don't know in advance how many iterations there will be, you can use the `while' statement so here too i don't know the number how many iterations are there. So Can some one suggest me whats going on? I am using the

For an historical paper I'm working on, I have some Spanish plaintext, presently in the form of a Word .doc file, http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/Langren/Verdadera-spanish-stripped.doc and also some ciphered text from the same original source. The ultimate goal is to use some frequency analysis of letters and word lengths in the plaintext to help decode the