similar to: generate multiple mvrnorm samples using apply-like

Dear R community! I would like to simulate distributions based on a polynomial model. It consists of 96 values and I want to randomly select new normaly distributed values around the modeled values. Furthermore, each value should be correlated with the previous one. Is it correct to therefore use mvrnorm? How do I define sigma? Thank you very much for your help. All the best, Marianne -- View

Hi All This might be something very trivial but I seem to miss something in the syntax or logic which makes me keep wandering around the problem without arriving at a solution. What I want to do is to simulate a sample data for performing cluster analysis. I tried to use x1= mvrnorm(10,rep(0.8,3),diag(3)) x2= mvrnorm(10,rep(0,3),diag(3)) x3= mvrnorm(10,rep(-0.5,3),diag(3)) x=rbind(x1,x2,x3)

Dear All,   I am using the following commands to generate a given dataset:   a <-c(0.348,0.007,0.503,0.58,0.21) cov <-c(0.0448,0,0,0,0,0.0001,0.0001,0,0,0,-0.0055,-0.0005,0.0495,0,0,0.0218,0.0009,-0.0253,0.1103,0,-0.0102,-0.0007,0.00631,0.0067,0.0132) b <-matrix(cov,nrow=5, ncol = 5, byrow = TRUE,dimnames = NULL) g <-mvrnorm(10000,a,b)   is there a way to place limits on the simulated

Hello, does anybody know another faster function for random multivariate normal variable simulation? I'm using mvrnorm, but as profiling shows, my algorithm spends approximately 50 % in executing mvrnorm function. Maybe some of you knows much faster function for multivariate normal simulation? I would be very gratefull for advices. -- View this message in context:

Hi all, Recently our statistics students noticed that their Gibbs samplers were crashing due to some NaNs in some parameters. The NaNs came from mvrnorm (Ripley & Venables' MASS package multivariate normal sampling function) and with some more investigation it turned out that they were generated by function eigen, the eigenvalue computing function. The problem did not seem to happen

Dear List: I am generating N datasets using the following Sigma<-matrix(c(400,80,80,80,80,400,80,80,80,80,400,80,80,80,80,400),4,4 ) mu<-c(100,150,200,250) N=100 for(i in 1:N) { assign(paste("Data.", i, sep=''), as.data.frame(cbind(seq(1:1000),(mvrnorm(n=1000, mu, Sigma))))) } With these datasets, I need to work on some of the variables and then run each dataset

I am trying to simulate draws from a multivariate normal using mvrnorm, and am getting the following error message: Error in mu + eS$vectors %*% diag(sqrt(pmax(ev, 0)), p) %*% t(X) : non-conformable arrays I do not understand why I am getting this message, since the vector of means I am giving to the function is 13 by 1 and the variance matrix I am giving to the function is 13

On 2019/5/10 ??8:58, Stefano Garzarella wrote: > While I was testing this new series (v2) I discovered an huge use of memory > and a memory leak in the virtio-vsock driver in the guest when I sent > 1-byte packets to the guest. > > These issues are present since the introduction of the virtio-vsock > driver. I added the patches 1 and 2 to fix them in this series in order > to

I discovered that IPv6 is sort of working when I got an email rejection from Comcast for not having an IPv6 PTR record. I discovered I could telnet to port 25 on their MX server over IPv6! I then found I could tracroute6 to them, but I couldn't to my Linode VPS in Fremont. It gets to the data center and stops. Going the other way, my Linode can traceroute6 almost to my AT&T-hosted

On 4/28/2020 3:17 PM, Chris Adams wrote: > - gateway sends a router solicitation and gets a router advertisement > with "stateful config" set, which tells gateway to do DHCPv6 (but > default route comes from RA) I'm not seeing any outbound IPv6 traffic from my CentOS 7 box on the WAN interface. I do see RA's emitting from the LAN interface, from radvd. Is there

While I was testing this new series (v2) I discovered an huge use of memory and a memory leak in the virtio-vsock driver in the guest when I sent 1-byte packets to the guest. These issues are present since the introduction of the virtio-vsock driver. I added the patches 1 and 2 to fix them in this series in order to better track the performance trends. v1:

While I was testing this new series (v2) I discovered an huge use of memory and a memory leak in the virtio-vsock driver in the guest when I sent 1-byte packets to the guest. These issues are present since the introduction of the virtio-vsock driver. I added the patches 1 and 2 to fix them in this series in order to better track the performance trends. v1:

I have the following: Time A1 A1 B1 B1 C1 C2 x y x y x y 0 5 6 6 7 7 9 1 3 4 4 3 9 9 2 5 2 6 4 7 4 I want to change it to the following: 0 1 2 x y x y x y A1 5 6 3 4 5 2 B1

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I