On 2018-09-26 15:34, Duncan Murdoch wrote:
On 26/09/2018 4:16 PM, Spencer Graves wrote:
Is there anything comparable to "with" for S4 objects?
EXAMPLE:
A "Wave" object in the tuneR package has slots "left" and
"right", plus others. I'd like to be able to do something
On 26/09/2018 4:16 PM, Spencer Graves wrote:
Is there anything comparable to "with" for S4 objects?
EXAMPLE:
A "Wave" object in the tuneR package has slots "left" and
"right", plus others. I'd like to be able to do something like the
following:
library(tuneR)
x <- seq(0,
Is there anything comparable to "with" for S4 objects?
EXAMPLE:
A "Wave" object in the tuneR package has slots "left" and
"right", plus others. I'd like to be able to do something like the
following:
library(tuneR)
x <- seq(0, 2*pi, length = 6)
all.equal(x, rev(x))
channel
All suggestions made by others here are useful, but I would suggest that
computer scientists are probably a better -- or at least valuable
additional -- resource for this sort of knowledge than R programmers. A web
search on "self-documenting code" and/or "reproducible research" should
yield lots
I wonder if the lintr package might be helpful.
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 9/26/18, 7:00 AM, "R-help on behalf of Spencer Brackett"
wrote:
R users,
Is anyone aware
On 26/09/2018 10:24 AM, Spencer Graves wrote:
It depends on what you want, but I've found it very useful to
create packages and submitting them to CRAN. See "Creating R Packages"
for how to do that.[1] Part of this involves creating vignettes using
Rmarkdown within RStudio. Creating
It depends on what you want, but I've found it very useful to
create packages and submitting them to CRAN. See "Creating R Packages"
for how to do that.[1] Part of this involves creating vignettes using
Rmarkdown within RStudio. Creating R packages and routinely running "R
CMD
I use R CMD BATCH foo which produces a file called foo.Rout and provided the
script includes
sessionInfo() constitutes a quite sufficient summary for my purposes, it isn’t
exactly pretty, but it
is informative.
> On Sep 26, 2018, at 3:00 PM, Spencer Brackett
> wrote:
>
> R users,
>
> Is
R users,
Is anyone aware of the proper procedure for summarizing a script(your
complete list of functions, arguments , and error codes within your R
console for say a formal report or publication?
Many thanks,
Best wishes,
Spencer Brackett
-- Forwarded message -
From:
Dear all,
I am having problems in obtaining standardized betas on a multiply-imputed data
set. Here are the codes I used :
imp = mice(data, 5, maxit=10, seed=42, print=FALSE)
FitImp <- with(imp,lm(y ~ x1 + x2 + x3))
Up to here everything is fine. But when I ask for the standardized coefficients
Hello,
There are functions in base R to access files, you will need an external
package only for special file types (such as, for instance, .xls or JSON).
At an R prompt type
?read.table
?readLines
?file
?scan
and start from there. I suggest you start with the first, it's the most
used of
Hi
Which R package can be best employed to access the files in Linux server
Thanks in advance
Jose
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Hi all
I am finding that on Windows 10:
* the archive file produced by R (i386) CMD build command saves the resulting
archive file in the present working directory
* ...BUT the archive produced by the R (x64) CMD build command is **not** saved
in the present working directory. Instead it is
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