[R] help

[Bert Gunter]

A 2 dim distribution must have a 2 x 2 covariance matrix. Your mean in b)
specifies 2 dim, but your covariance matrix is 3x3.

If you haven't just made a typo and you don't know what this means, then
either consult statistics references or find someone to help you.

Cheers,

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, Mar 16, 2021 at 10:55 AM hatice gürdil <haticegurdil1985 using gmail.com>
wrote:

> Code a is working. But code b is given error like given below. How can I
> write code b?
>
> > a<-rmvnorm(750, mean=c(0, 0),
> +                        sigma=matrix(c(1, .3, .3, 1), ncol=2))
>
> > head(a)
>             [,1]        [,2]
> [1,] -0.97622921 -0.87129405
> [2,]  0.54763494  0.16080131
> [3,] -1.16627647  0.31225125
> [4,]  1.72541168  2.06513939
> [5,]  0.05372489 -0.07525197
> [6,] -0.85062230 -1.02188473
>
> > b<-rmvnorm(round(500,0), mean=c(0,-1),
> +                        sigma=matrix(c(.3, 1,1,1,.3, 1, 1,1, .3), ncol=3))
>
> Error in rmvnorm(round(500, 0), mean = c(0, -1), sigma = matrix(c(0.3,  :
>   mean and sigma have non-conforming size
>
>         [[alternative HTML version deleted]]
>
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