search for: fuvs

...each=2) stichproben <- rep(0, each=2) for (i in seq(1:2)) { n <- dim(daten)[1] ix <- sample(n,200) # producing samples samp_i <- daten[ix,] stichproben[i] <- samp_i # doesn???t works # Calculation of the model: posterior_i <- MCMClogit(y ~ fbl.ind + fekq3 + febitda4 + fuvs + fkru + fzd + fur3, data=samp_i, b0=prior, B0=precision, tune=0.5) # calculation ergebnisse[i] <- summary(posterior_i) # saving the results (works) } --snip-- I have a data set called "daten". I produce samples of the size 200. The samples are saved in samp_i. Question: How is t...

...;- sample(n,200) samp_i <- daten[ix,] # draw samples y <- sum(samp_i$y) # number of defaults stichproben200[[i]] <- samp_i # saving the samples default200[i] <- y # saving the number of defaults # Modell berechnen: posterior_i <- MCMClogit(y ~ fbl.ind + fekq3 + febitda4 + fuvs + fkru + fzd + fur3, data=samp_i, b0=prior, B0=precision, tune=0.5) # calculation ergebnisse200[i] <- summary(posterior_i) # saving the results } # write out the solutions into an excel-file write.csv2(ergebnisse200, "ergebnisse.csv") --snip-- My solution has the following form: ht...

Hello, In the process of learnin'' myself some rails, I accidentally made a bookmark application. It''s simple, but it works and I hope to build on it as I learn more. It might be interestin'' to newbies like me as an example. Download''s at the bottom. http://rubyurl.com/FUV -- Pork and Beans -- Posted via http://www.ruby-forum.com/.