Hi,
I need help generalizing the following non-symmetric "identity"-like matrix
In this case:
p = 5
k=3
and I want this:
I.kp <- cbind(diag(3), c(0, 0, 0), c(0, 0, 0))
How can I generalize this so that I don't have to add/subtract c(0, 0,
... , 0) when p and k changes?
Hopefully that makes sen
rseM_1.03
> [5] MASS_7.3-28 lattice_0.20-15 stringr_0.6.2 reshape2_1.2.2
>
> loaded via a namespace (and not attached):
> [1] magic_1.5-4 Matrix_1.0-12 mgcv_1.7-24 nlme_3.1-110 plyr_1.8
> [6] tcltk_3.0.1 tools_3.0.1
>
> A.K.
>
>
>
>
>
>
> - Ori
Hello,
In R 3.0.1, I get the following warning that I do not get in R 2.15.3:
data(mtcars)
mycov.rob(mtcars[,1:3], method="mcd")
Error in .C("mve_fitlots", as.double(x), as.integer(n), as.integer(p), :
"mve_fitlots" not available for .C() for package "MASS"
It seems like there was a change in
Hi,
I want to simulate multivariate data with > 1 distribution type. For
example, I would like one normal variate and one poisson variate with a
specified correlation structure. Is there a package that has this
implemented?
Thanks.
Chuck
[[alternative HTML version deleted]]
13 at 6:33 PM, Bert Gunter wrote:
> It is hard to know what to recommend, as you don't give us any context.
>
> If the plots are interrelated in certain ways, lattice and ggplot both
> provide conditioning plots.Check vignettes and documentation for these
> packages.
>
>
Hello,
I want to plot similar to the example below. I want to remove the X and Y
axis labels to avoid redundancy, but then want to make the spaces between
plots smaller. When I do this (see below), I end up with plots of
different sizes (I want the plots to be exactly the same dimensions).
Coul
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