Hi all,
I'm working on a large simulation and I'm using the doParallel package to
parallelize my work. I have 20 cores on my machine and would like to
preserve some for day-to-day activities - word processing, sending emails,
etc.
I started by saving 1 core and it was clear that *everything* was
like just producing inline comments -- may be useful.
>
> -- Bert
>
>
>
> On Wed, Oct 10, 2018 at 12:43 PM Leslie Rutkowski <
> leslie.rutkow...@gmail.com> wrote:
>
>> Hi all,
>>
>> I'm trying to get organized about my R programming and I'm
Hi all,
I'm trying to get organized about my R programming and I'm looking for a
way to "tag" snippets of handy code that I go back to time and again. At
the moment, I just plop .R files into a folder and rely on the file name to
guide me. In desperation, I've taken to saving the same chunk as
I've run into this problem on nearly every new machine I've touched in the
past year. Here is a solution that has consistently worked for me in
Windows 7 & 10:
1. Use .libPaths() to find where packages are being stored.
2. To change this path: Control Panel > search “View advanced
Hi Paul,
I recently ran into file path conflicts and found the following useful
(looks like you already know the answer to 1.):
1. Use .libPaths() to find where packages are being stored.
2. To change this path: Control Panel > search “View advanced system
settings” > Environment
Hi,
I'm trying to reshape and output 8 simple tables into excel files. This is
the code I'm using
for (i in 1:8) {
count <- table(mydata$ctry, mydata[,paste0("q0",i,"r")])
dat <- as.data.frame(q01count)
wide <- reshape(dat,
timevar="Var2",
kes your work process
> >reproducible as you develop it.
> >
> >Yes, but that's sometimes too inefficient.
> >
> >And then, some of us do simulations and other expensive
> >computations, we need/want to save and re-read.
> >
> >and yes, I *always* u
Hi,
I'm slowly migrating from SAS to R and - for the very first time - I'm
working with a native .Rda data file (rather than importing data from other
sources). When I load this .Rda file into the global environment using
load("file path") I see a data.frame in the global environment called
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