search for: rtnorm

Hello, I am a new user of R and found the function dtnorm() in the package msm. My problem now is, that it is not possible for me to get the mean and sd out of a sample when I want a left-truncated normal distribution starting at "0". fitdistr(x,dtnorm, start=list(mean=0, sd=1)) returns the error message "Fehler in "[<-"(`*tmp*`, x >= lower & x <= upper,

Hi, I want to generate random samples from truncated normal say Normal(0,1)Indicator((0,1),(2,4)). It has more than one intervals. In the library msm, it seems to me that the 'lower' and 'upper' arguments can only be a number. I tried rtnorm(1,mean=0,sd=1, lower=c(0,2),upper=c(1,4)) and it didn't work. Can you tell me how I can do truncated normal at more than one intervals? Thank you. [[alternative HTML version deleted]]

Hello, Does anyone knows how to deal with zero subscript in R. I have this code: for (i in 1:nitems){ + for (j in 1:ncat-1) { + draw<-matrix(rnorm(nitems*(ncat-1),seed1,seed2),nitems,(ncat-1)) + d<-( sigma_d*draw ) + mu_d + draw<-matrix(rtnorm((nitems*(ncat-1)),mean = seed1, sd = seed2, lower = .1, upper = 1.5),nitems,(ncat-1)) + d<-(sigma_d*draw) + mu_d + write.matrix(cbind(b.i0,d), file = "F:/KU/MIRT group/MIMIC-DIF/R/cpprcode/b0d.dat", sep = " ") + b[i,j]<-b[i,j-1]+d[i,j] +...

Hi, I'm Sorry for any cross-posting. I've reviewed the archives and could not find an exact answer to my question below. I'm trying to generate very large sparse matrices (< 1% non-zero entries per row). I have a sparse matrix function below which works well until the row/col count exceeds 10,000. This is being run on a machine with 32G memory: sparse_matrix <-

...E=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rbv.cc -o rbv.o gcc -m64 -std=gnu99 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnorm.c -o rtnorm.o g++ -m64 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnormR.cc -o rtnormR.o g++ -m64 -shared -L/usr/local/lib64 -o MCMCglmm.so MCMCglmm.o cs_add.o cs_...

...E=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rbv.cc -o rbv.o gcc -m64 -std=gnu99 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnorm.c -o rtnorm.o g++ -m64 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnormR.cc -o rtnormR.o g++ -m64 -shared -L/usr/local/lib64 -o MCMCglmm.so MCMCglmm.o cs_add.o cs_...

...IFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rbv.cc -o rbv.o gcc -m64 -std=gnu99 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnorm.c -o rtnorm.o g++ -m64 -I/usr/include/R -I/usr/local/include -fpic -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c rtnormR.cc -o rtnormR.o g++ -m64 -shared -L/usr/local/lib64 -o MCMCglmm.so MCMCglmm.o cs_add.o cs_addR.o...

...() if (length(n) > 1) n <- length(n) while (length(ret) < n) { y <- rlnorm(n - length(ret), mean, sd) y <- y[y >= lower & y <= upper] ret <- c(ret, y) } stopifnot(length(ret) == n) ret } # This is modified off the code for 'rtnorm' of the library(msm). rtlnorm <- function (n, mean = 0, sd = 1, lower = -Inf, upper = Inf) { ret <- numeric() if (length(n) > 1) n <- length(n) while (length(ret) < n) { y <- rlnorm(n - length(ret), mean, sd) y <- y[y >= lower & y <=...

I am using TNORM - rtnorm to simulate from a truncated normal distribution. However, the current function available allows us to define the mean and SD of the non-truncated (original) distribution and then run the simulation. http://rss.acs.unt.edu/Rdoc/library/msm/html/tnorm.html I would instead like to define the mean a...

Does anyone know of an R-function that will generate an observation from a truncated normal (left or right) with a mu and sigma2? Any correspondence would be greatly appreciated. Best regards, Scott Summerill FAA ACB-330 SIGNAL Corp. 609-485-6377 scott.ctr.summerill at tc.faa.gov -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi All, Users have contacted me because they can not build MCMCglmm from source. All are using R 3.3.0 on various machines with different compilers gcc (Ubuntu 5.4.0-6ubuntu1~16.04.2) 5.4.0 g++ (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4 Mac OS X El Capitan (version/compiler unspecified) The issue seems to be with mixing C/C++ with the repeated error: /usr/include/c++/5/bits/cpp_type_traits.h:118:3:

...o rbv.o > gcc -I/usr/share/R/include -DNDEBUG??????-fpic??-g -O2 -fstack- > protector-strong -Wformat -Werror=format-security -Wdate-time > -D_FORTIFY_SOURCE=2 -g??-O3 -Wall -pipe -pedantic -std=gnu99??-O3 > -pipe -std=gnu99 -Wno-maybe-uninitialized -Wno-unused-but-set- > variable -c rtnorm.c -o rtnorm.o > g++ -I/usr/share/R/include -DNDEBUG??????-fpic??-g -O2 -fstack- > protector-strong -Wformat -Werror=format-security -Wdate-time > -D_FORTIFY_SOURCE=2 -g??-O3 -Wall -pipe -Wno-unused??-O3 -pipe -Wno- > maybe-uninitialized -Wno-unused-but-set-variable -c rtcmvnormR.cc -o &...

...ut-set-variable -c rbv.cc -o rbv.o gcc -I/usr/share/R/include -DNDEBUG -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -O3 -Wall -pipe -pedantic -std=gnu99 -O3 -pipe -std=gnu99 -Wno-maybe-uninitialized -Wno-unused-but-set-variable -c rtnorm.c -o rtnorm.o g++ -I/usr/share/R/include -DNDEBUG -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -O3 -Wall -pipe -Wno-unused -O3 -pipe -Wno-maybe-uninitialized -Wno-unused-but-set-variable -c rtcmvnormR.cc -o rtcmvnormR.o g++ -I/usr...

I would like to generate pseudo-random numbers between two numbers using R, up to a given distribution, for instance, rnorm. That is something like rnorm(HowMany,Min,Max,mean,sd) over rnorm(HowMany,mean,sd). I am wondering if dnorm(runif(HowMany, Min, Max), mean, sd) is good. Any idea? Thanks. -james