Thank you Rui. It helped a lot.
-MW
On Sun, Oct 31, 2021 at 10:16 AM Rui Barradas wrote:
> Hello,
>
> Now I'm spamming the list, not one of my days.
>
> My first post was right, there was no bug and the 2nd one was exactly
> the same code, it corrected nothing at all.
>
> Apologies for the noise
If you are looking for expertise in answering questions about NumPy, the pool
of experts will be smaller here than in a forum whose topic is NumPy.
I don't know what "BIO" means... if it alludes to biostatistics then there is a
whole separate Bioconductor project that specializes in applying R
Reasons for preferring one to another:
- taste.
If you like curly braces, you'll prefer R.
If you like indentation forced by syntax, you'll prefer Python.
- compatibility.
This morning I was trying to use a web site where all the Python
examples were non-functional due to either of bo
Hello,
Now I'm spamming the list, not one of my days.
My first post was right, there was no bug and the 2nd one was exactly
the same code, it corrected nothing at all.
Apologies for the noise,
Rui Barradas
Às 16:55 de 31/10/21, Rui Barradas escreveu:
Hello,
Sorry, bug. In both by instruct
Hello,
Sorry, bug. In both by instructions it's boot_mean_se, not bootprop.
boot_year <- by(DaT, DaT$Year, boot_mean_se, statistic = bootprop, R = R)
boot_year_area <- by(DaT,
INDICES = list(Year = DaT$Year, Area = DaT$Area),
FUN = boot_mean_se,
Em 31/10/2021 08:09, Duncan Murdoch escreveu:
Rlogo <- "C:/R/doc/html/logo.jpg"
That won't work on most systems. Please use something like
Rlogo <- file.path(R.home(), "doc/html/logo.jpg")
Ok. Done!
box3d( floating=NA )
I don't think that has ever worked. "floating=NA" is a special
Hello,
Try to aggregate with ?by.
bootprop <- function(data, index){
d <- data[index, ]
sum(d[["bothTimes"]], na.rm = TRUE)/sum(d[["total"]], na.rm = TRUE)#
}
boot_mean_se <- function(data, statistic, R){
b <- boot::boot(DaT, bootprop, R = R)
c(bootMean = mean(b$t), bootSE = sd(b$t))
}
I noticed a typo in the ?array help-file ("Multi-way Arrays"), which is
also at this web page:
https://stat.ethz.ch/R-manual/R-patched/library/base/html/array.html
In the "Arguments" section of that page, under the subheading "dimnames",
the second sentence begins "This must a list..." and it ough
Hi R users,
I was trying to extract the bootstrap mean and its SE by group but I have
been doing it by separating the group manually. The data set is big so
doing it manually is a kind of tedious task. I am wondering whether there
is a possibility to do it by creating a loop. I am weak in writing
On 30/10/2021 5:48 p.m., Cleber Borges via R-help wrote:
After a lot of testing and reading the manuals, I think I came pretty
close to what I wanted (code below).
But some Cartesian axes do not appear.
I placed each axis separately and the corners where the raster images
coincide overlapping t
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