On Jul 8, 2012, at 23:39 , ycyi121 wrote:
> Hi,
>
> I have great difficulty in simulation the a dataset based in a loading
> matrix [c(1,1,1,2,3,3,3,4,4,3,2,2,1,1), 7, 2) and an error covariance matrix
> is 2*I. I have to simulate a dataset with 7 variables and 50 rows. I search
> a lot and did
Hi,
I have great difficulty in simulation the a dataset based in a loading
matrix [c(1,1,1,2,3,3,3,4,4,3,2,2,1,1), 7, 2) and an error covariance matrix
is 2*I. I have to simulate a dataset with 7 variables and 50 rows. I search
a lot and did find some information on this, for example, using rmvnor
Dear listserv,
Please consider the following dataset:
x <- matrix(nrow = 8, ncol = 2)
colnames(matrix) <- c("classification", "soluble_fiber")
x[1:4,1] <- "bagel"
x[5:8,1] <- "donut"
How would I simulate a dataset for a one-way fixed-effect ANOVA (where
"classification" is the treatment variabl
Hi Matiou:
On Thursday 30 August 2007 13:25, Matiou wrote:
> Hi,
>
> I am currently on a placement here at GSK for my studies, and I'm working
> on Heckman Models. I have to make simulations, in order to see whether
> these models are efficient or not.
>
> I have to generate a dataset under the f
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