Re: [R] Generating Progressively censored samples
try these: dweibull(x, shape, scale = 1, log = FALSE) pweibull(q, shape, scale = 1, lower.tail = TRUE, log.p = FALSE) qweibull(p, shape, scale = 1, lower.tail = TRUE, log.p = FALSE) rweibull(n, shape, scale = 1) -- Original -- From: Maram SAlem;marammagdysa...@gmail.com; Date: Mon, Jul 27, 2015 10:07 PM To: r-helpr-help@r-project.org; Subject: [R] Generating Progressively censored samples Dear All, Is there some built-in function in R that can be used to generate progressively censored sample from a certain distribution, for example, the Weibull distribution? OR Do I have to write the code of the algorithm myself? Thanks for helping. Maram Salem [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Judging if a matrix contains any NA
all(is.na(a)) [1] FALSE -- Original -- From: Steven Yen;sye...@gmail.com; Date: Mon, Jul 27, 2015 09:10 AM To: r-help mailing listr-help@r-project.org; Subject: [R] Judging if a matrix contains any NA How do I judge if a matrix contain any NA or otherwise non-missing, non-numerical? In the following, I would like to deliver ONE logical of TRUE or FALSE, rather than a 4 x 4 matrix containing TRUE or FALSE. Thank you. a-matrix(1:16,nrow=4) diag(a)-NA a [,1] [,2] [,3] [,4] [1,] NA59 13 [2,]2 NA 10 14 [3,]37 NA 15 [4,]48 12 NA is.na(a) [,1] [,2] [,3] [,4] [1,] TRUE FALSE FALSE FALSE [2,] FALSE TRUE FALSE FALSE [3,] FALSE FALSE TRUE FALSE [4,] FALSE FALSE FALSE TRUE __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
