around table, as shown in the
> appended file.
>
> Best regards,
> Valentin
>
> Am Mittwoch, 25. Jänner 2023, 10:03:01 CET schrieb Tobias Fellinger:
> > Hello,
> >
> > I'm encountering the following error:
> >
> > In a package for survival analysis I use a
Hello,
I'm encountering the following error:
In a package for survival analysis I use a data.frame is created, one column is
created by applying unique on the event times while others are created by
running table on the event times and the treatment arm.
When there are event times very close
Hi,
I try to run a stan model in R 4.0.2 and the session crashes if I run the code
interactively (sourcing from an interactive session or from Rstudio) but runs
fine if run with Rscript or R -e 'source("rstan_test.R")' . I don't really know
where to begin to debug this.
I'm not sure if this
Hello everyone,
I think Richard's proposal to update the documentation is a good idea. Not
only because it puts the phrasing into context but also because it makes
the documentation clearer.
About the initial mail: I think the awareness for language has increased a
lot in the recent years and I
did not find
any documentation on the [ and [[ operators for xml_nodeset. Below is a
small example and the sessionInfo.
thanks in advance, Tobias Fellinger
# load package
require(xml2)
# test document as text
test_chr <- "
paragraph 1
paragraph 2
"
# parse test docu
Hi,
I'm not entirely sure what you want to calculate.
If you want to integrate by u in the interval from 0 to 4 for every value
of x I would suggest something like this:
x <- rnorm(10,0,1)
f <- function(u,x){
exp((x-u))
}
sapply(x, function(i){
integrate(f,lower=1,upper=4, x=i)$value
})
Hello,
in my experience the most direct path of converting SAS code to R is by
using dplyr. dplyr provides the filter function, the first part of your
code could look like this, assuming your datasets are stored as
data.frames:
library(dplyr)
yield <- filter(stress,
field != "YV",
field !=
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