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...ly saved workspace restored] > # program name: mnl.R > # my hierarchical bayes logit model using random walk algorithm > # > # nphy= number of physicians in the sample > # nvar = no. of variables in X > # nalt = no. of alternatives > # nobs = no. of observations > # yrows (nphy x 1 matrix) contains no. of observations by each physician > # X (nobs*nalt x nvar) contains xvalues for each of j alt on each >of n occasions > # Y (nobs x 1) contains chosen alternative > # > > source("bayes_book_r_functions.R") > nalt=5 > > X=re...

Hi, I am looking for a way in which I can check if rows in 1 dataframe are present in another data frame in a unique way. A row in dataframe should be super set of any row in another dataframe. I can write a for loop for it, however, that will be inefficient. So, I am looking for an efficient way to do this in R. I have explained it with an example below: I want to check if a row in dataframe

...ollowing: a <- read.table("FOLLICLES.txt") win <- owin(c(0,512), c(0,512)) unitname(win) <- c("pixel", "pixels") b <- as.matrix(a, xrange=c(0,512), yrange=c(0,512)) unitname(b) <- c("pixel", "pixels") c <- im(b, xcol=seq(ncol(b)), yrow=seq(nrow(b)), unitname="pixels") d <- tess(image = c) plot(d) #I can then plot my ppp pattern on top of my tessellation using: plot(d) plot(data02, add=TRUE) #So far so good, but when I run for example: qb <- quadratcount(data02, tess = d) #I get the following error: Warning m...