Dear R users, I have been using rnorm, rbinom and have been getting the following warning message when I do not have any NAs in my generated values. Warning messages:1: In rnorm(nref, mean = mu.m2[[k]], sd = sqrt(disp.m2[[k]])) : NAs produced In one of the resources I found in over the internet explains that the mean and sd should be declared as integers. So I tried that which did not solve the issue. Can anyone advise me on how to eliminate the warning message? Thank you.
strange error message when using rnorm and rbinom
4 messages · JI Cho, Tom, Bert Gunter +1 more
As you probably already guessed we are going to need to see the contents of nref, mu.m2 and disp.m2 to help. dput(nref) dput(mu.m2) dput(disp.m2) k might help too.
On Tue, Jun 14, 2016 at 2:06 PM, JI Cho <ikycho at gmail.com> wrote:
Dear R users,
I have been using rnorm, rbinom and have been getting the following warning
message when I do not have any NAs in my generated values.
Warning messages:1: In rnorm(nref, mean = mu.m2[[k]], sd = sqrt(disp.m2[[k]])) :
NAs produced
In one of the resources I found in over the internet explains that the
mean and sd should be declared as integers. So I tried that which did
not solve the issue.
Can anyone advise me on how to eliminate the warning message?
Thank you.
[[alternative HTML version deleted]]
______________________________________________ R-help at 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.
Do not believe everything you read on the internet! "In one of the resources I found in over the internet explains that the mean and sd should be declared as integers." That is compete crap. The mean of a norma/Gaussian can be any real; the sd can be any positive real. Moreover, one does not need to "declare" R variables. Have you gone through any R tutorials? -- there are many good ones on the web. Please do so if you haven't before posting here. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Jun 14, 2016 at 11:06 AM, JI Cho <ikycho at gmail.com> wrote:
Dear R users,
I have been using rnorm, rbinom and have been getting the following warning
message when I do not have any NAs in my generated values.
Warning messages:1: In rnorm(nref, mean = mu.m2[[k]], sd = sqrt(disp.m2[[k]])) :
NAs produced
In one of the resources I found in over the internet explains that the
mean and sd should be declared as integers. So I tried that which did
not solve the issue.
Can anyone advise me on how to eliminate the warning message?
Thank you.
[[alternative HTML version deleted]]
______________________________________________ R-help at 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.
Hi JI, The most likely problems are negative numbers for sd or "k" being larger than the number of mu.m2 or disp.m2 values. Jim
On Wed, Jun 15, 2016 at 4:06 AM, JI Cho <ikycho at gmail.com> wrote:
Dear R users,
I have been using rnorm, rbinom and have been getting the following warning
message when I do not have any NAs in my generated values.
Warning messages:1: In rnorm(nref, mean = mu.m2[[k]], sd = sqrt(disp.m2[[k]])) :
NAs produced
In one of the resources I found in over the internet explains that the
mean and sd should be declared as integers. So I tried that which did
not solve the issue.
Can anyone advise me on how to eliminate the warning message?
Thank you.
[[alternative HTML version deleted]]
______________________________________________ R-help at 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.