Bert,
You are obviously correct about the diagonals. I was not thinking carefully.
Typically they are expected to be at or near 0.5 in an outbred population but
can theoretically go to 1.0 in completely inbred populations. This was subset
from a madeup pedigree and I reused parents, hence the
Come again?! The diagonal values in your example are not all .5.
If space is not an issue, a straightforward approach is to collect all the
matrices into a 3d array and use indexing.
Here is a simple reprex (as you did not provide one in a convenient form,
e.g via dput())
x <- matrix(1:9, nr =
I want to capture the entire distribution of values for each cell in a sequence
of symmetric matrices of the same size. The diagonal values are all 0.5 so I
need only the values above or below the diagonal.
A small example with three of the structures I am wanting to count follows:
F
A unary negative sign with no number is not a number, so it has to be
character. If you are done with computations you can format your numbers as
character data and set the NA to "-", but such a conversion will prevent you
from performing computations so it is only useful for creating report
Hi List,
I have a column MMR in a data frame proband_crc2. The column contents missing
value and + (means positive).
I need to replace all missing value into - (means negative)
I did try with difference ways. Below are my testing, but not any one works.
Can someone help me?
Thanks,
Kai
Dear all,
I am happy to announce that {r2rtf} v0.3.0 is now on CRAN.
r2rtf is an R package to create production-ready tables and figures in RTF
format. The R package is designed to provide simple “verb” functions that
correspond to each component of a table or figure.
I hope you find it
I have added this to the R Help mailing list as it increases your
chances of getting a helpful response.
That error message can't "lazyload" indicates that you have
some serious problem(s) upstream.
Probably the best thing to do is copy and paste the entire
installation output here for people
Thanks, for suggestions (To define p before).
I thought it and I put this line of code inside the loop:
p[i] <- y[i] / n[i]
but I received a RUNTIME ERROR and:
(Attempt to redefine node p[1]).
Thanks
Massimiliano
Il giorno mar 1 giu 2021 alle ore 17:22 Bert Gunter
ha scritto:
> Where is p
Unless you have got reason not to, always reply to the list (included in
this response). I cannot help, but someone else may be able to.
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
I have (define-key inferior-ess-r-mode-map "_" #'ess-insert-assign) in
my init file. After installing R on a new system and starting ESS
(built from the Github repo at commit
e21ce9b260ff2ae0f162624ae3888c60bca3ae55) I called install.packages()
and after that, typing `_' only inserted that
Where is p defined before it is used? (Is this part of what jags provides
somehow?)
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, Jun 1, 2021 at 7:57 AM
Dear R users,
I'm trying to reproduce the example 6.5.1 (Dobson (1983)) in BUGS book in
linux using JAGS.
Below the code as
https://www.mrc-bsu.cam.ac.uk/software/bugs/the-bugs-project-the-bugs-book/bugs-book-examples/the-bugs-book-examples-chapter-6-6-5-1/
# By R code:
library('rjags')
jags
Hello,
I don't know if the following is what you want but it gives confidence
bars. The error in your code is to have Esp as id.
dat$Id <- as.integer(factor(dat$Esp))
m5 <- geeglm(
formula = tim ~ Pa*Pt,
family = Gamma(link = log),
data = dat,
id = Id,
corstr = "exchangeable"
)
Dear Kai
When you ask again it is best to tell us what your input is and what
output you were hoping for and what you actually got. If you can make a
small data-set which shows all that then your post will be much more
likely to get a helpful response. If you want to transfer the data-set
to
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