similar to: Running a function through a vector with the scalars as arguments

I know this is a simple question, but I have yet to master the apply statements. Any help would be appreciated. I have a column of probabilities and sample sizes, I would like to create a column of binomial random variables using those corresponding probabilities. Eg. mat = as.matrix(cbind(p=runif(10,0,1), n=rep(1:5))) p n [1,] 0.5093493 1 [2,] 0.4947375 2 [3,]

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### In version 0.99.0 for Windows NT I get the following: > .Random.seed [1] 0 21012

Dea'R' helpers I have following data - prob = c(0.1, 0.2, 0.3, 0.4, 0.5) frequency = c(100, 75, 45, 30, 25) no_trials = c(10, 8, 6, 4, 2) freq1 = rbinom(frequency[1], no_trials[1], prob[1]) freq2 = rbinom(frequency[2], no_trials[2], prob[2]) freq3 = rbinom(frequency[3], no_trials[3], prob[3]) freq4 = rbinom(frequency[4], no_trials[4], prob[4]) freq5 = rbinom(frequency[5],

Full_Name: Teru KAMOGASHRIA Version: 2.0.1 OS: SunOS sun 5.10 Generic i86pc i386 i86pc Submission from: (NULL) (219.5.176.24) rbinom.c cannot be compiled because of the casting problem. /opt/SUNWspro/bin/cc -I. -I../../src/include -I../../src/include -I/usr/local/include -DHAVE_CONFIG_H -D__NO_MATH_INLINES -g -c rbinom.c -o rbinom.o "rbinom.c", line 60: operand must have real

I'm trying to simulate trend data over a five year period. I want different trend profiles...the simplest being a linear trend. I've been using the following code: patBdta1 <- NULL for(i in 1:100) patBdta1 <- rbind(patBdta1,c(yr1= mean(rbinom(50,1,.50)), yr2 =mean(rbinom(50,1,.51)), yr3 =mean(rbinom(50,1,.52)),

Hello, I have the following code using rbinom, but I don't understand what *"+1"* means in the code. Could someone help? Thanks so much, > X1<-c("A","B")[rbinom(n,1,0.6)+1] > X2<-c("C","D")[rbinom(n,1,0.1)+1] -- View this message in context: http://r.789695.n4.nabble.com/a-quick-question-about-rbinom-tp4262977p4262977.html Sent

Dear R-help, I am trying to write a function to simulate datasets of size n which contain two time-to-event outcome variables with associated 'Event'/'Censored' indicator variables (flag1 and flag2 respectively). One of these indicator variables needs to be dependent on the other, so I am creating the first and trying to use this to create the second using an if/else statement.

hello, I want to simulate 200 times the mean of a joint probability (y1) and 200 times the mean of another joint distribution (y2), that is I'm expecting to get 200 means of y1 and 200 means of y2. y1 and y2 are probabilities that I calculate from the marginal prob. (z1 and z2 respectively) multiple by the conditional prob. (x1 and x2 respectively), which I generaterd from the binomial

Hi, First, thank you all for your help. Here is my problem (simplified): Say I have a list: a=list(matrix(50,nrow=5,ncol=5),matrix(25,nrow=5,ncol=5),matrix(10,nrow=5,ncol=5)) I'd like to use rbinom with a different probability for each matrix. I tried: b=c(.8,.1,.9) brep=rep(b,each=25) lapply(a,function(a) rbinom(25,a,brep)) but that doesn't work-- it just uses the first value of b

Hi, The standard error from logistic regression is slightly different from the naive SE from GEE under independence working correlation structure. Shouldn't they be identical? Anyone has insight about this? Thanks, Qiong a<-rbinom(1000,1) b<-rbinom(1000,2,0.1) c<-rbinom(1000,10,0.5) summary(gee(a~b, id=c,family="binomial",corstr="independence"))$coef

Full_Name: Chris Paulse Version: 2.1.1 OS: WinXP Submission from: (NULL) (129.98.60.134) This seems strange. I have a small block of code that repeatedly calls rbinom. I put a break in there in case it returns NaN, as I've been having problems with this. Here is a transcript from the debug session: Browse[1]> theP [1] 1 Browse[1]> yleft[dataIndex] [1] 3 Browse[1]> rbinom(1,3,1)

Dear all, Using rmultinom() in a stochastic model, I found this function returns an error message 'NA in probability' for an infinite probability. Maybe, a more precise message will be helpful when debugging. > rmultinom(1, 3:5, c(1/2, 1/3, Inf)) Error in rmultinom(1, 3:5, c(1/2, 1/3, Inf)) : NA in probability vector > rmultinom(1, 3:5, c(1/2, 1/3, NA)) Error in rmultinom(1,

On 08/04/2023 5:53 p.m., Martin Maechler wrote: >>>>>> Christophe Dutang >>>>>> on Sat, 8 Apr 2023 14:21:53 +0200 writes: > > > Dear all, > > > Using rmultinom() in a stochastic model, I found this function returns an error message 'NA in probability' for an infinite probability. > > > Maybe, a more

Full_Name: Kert Viele Version: 1.3 OS: Windows ME and 2000 Submission from: (NULL) (65.6.218.65) Hello! Thanks for all your efforts on R. They are appreciated! I was simulating the central limit theorem in class, but found that repeated use of mean(rbinom(100000,500,0.4)) resulted in values less than 200 (the expected mean), for example > mean(rbinom(100000,500,0.4)) [1] 199.0294 >

Dear all, I have something about function outer() that I can't understand. Just see the following example. The two NaNs are due to 0/0, but I can't figure out the cause of the last two errors. I wonder if some one can explain this for me. ___________________________________________________________________ > sx=rbinom(10,1,0.5);ot=rbinom(10,1,0.5);ag <- rbinom(10,100,0.3);ho <-

Hello, I'm having a problem using the "transform" and "get" functions. I'm probably making a dumb mistake, and I need help! I start by making a small simulated dataset. I save the names of the variables in "var.names." Without getting into the details of it, I have to create a custom function to perform some statistics. As part of this, I need to sequentially

Dear R-Help List, I'm trying to simulate data from a conditional distribution, and haven't been able to modify my existing code to do so. I searched the archives, but didn't find any previous post that matched my question. n=10000 pop = data.frame(W1 = rbinom(n, 1, .2), W2 = runif(n, min = 3, max = 8), W3 = rnorm(n, mean=0, sd=2)) pop = transform(pop, A = rbinom(n, 1,

>>>>> Christophe Dutang >>>>> on Sat, 8 Apr 2023 14:21:53 +0200 writes: > Dear all, > Using rmultinom() in a stochastic model, I found this function returns an error message 'NA in probability' for an infinite probability. > Maybe, a more precise message will be helpful when debugging. >> rmultinom(1, 3:5, c(1/2, 1/3,

Dear R-users, i try to generate missing values in a matrix X according to a given missingnes pattern R with the probabilities p per row. X<-matrix(rnorm(3*100),ncol=3) ## indicator matrix for missingnes (1 observed, 0 missing) R<-matrix(c(1,1,1, 0,0,1, 1,1,0, 0,1,1),ncol=3,byrow=TRUE) ## probabilities for row 1, row 2, row 3 and row 4

Hi guys, I am a biologist and an R newbie, and I'm learning how to create a simple population model. So, I have a population matrix ("pop")of 30 age classes of female (1:4 are non-breeders, 5:30 are breeders) which will be modelled for 100 years. > pop <- matrix(0,30,100) I then populate this matrix with 3 young adult females. > pop[5, 1] <- 3 I then want to run this