search for: idmiss

...lt;- 30     ####percent of missing values   N <- dim(x)[1]   ####number of cases   candidate<-which(x[,1]<3 | x[,2]<3 | x[,3]<3 | x[,4]<3 | x[,5]<3 | x[,6]<3 | x[,7]<3)    #### I want to sample all cases with at least 1 value lower than 3, so I have to find candidates   idMiss <- sample(candidate, N * p / 100)    #### I sampled cases   Any suggestion?   Thanks, Blaž [[alternative HTML version deleted]]

...ng completely at random). I managed to sample cases and variables, but I don’t know how to set them as NA. R code: N <- 1000      ####number of cases n <- 12           ####number of variables X <- matrix(rnorm(N * n), N, n)    ####matrix pMiss <- 0.05     ####percent of missing values idMiss <- sample(1:N, N * pMiss)    ####sample cases nMiss <- length(idMiss) m <- 3    ####maximum number of missing variables within selected cases howmanyMiss <- sapply(idMiss, function(x) sample(1:m, 1)) howmanyMiss lapply(howmanyMiss, function(x) sample(1:n, x))   Any suggestion? Thanks, B...