Christofer,
On Sat, 30 Jun 2018 at 12:54, Jeff Newmiller wrote:
>
> You should use Stack Exchange for questions about statistics.
Specifically, https://stats.stackexchange.com/ -- H
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If you wish to request my time,
Your request is getting a bit complicated with so much re-hashing, but
here are three solutions: base only, a bit of dplyr, and dplyr+tidyr:
#
# input data
employees4List = list(data.frame(first1 = "Al", second1 =
"Jones"),
data.frame(first2 = c("Al2", "Barb"),
I would like to thank everyone who helped me out. I have obtained some offline
help, so I would like to summarize all the information I have received.
Before I summarize the thread, there is one loose end.
Initially I thought
library(dplyr)
dplyr::bind_rows(lapply(employees4List, function(x) rbin
If you use gkrellm, you'll get a plot of each core's activity so it's
easy to see how many are being used.
yum install gkrellm.
HTH
On 07/01/2018 06:16 AM, Jeff Newmiller wrote:
> Use "top" at the bash prompt.
>
> Read about the "mc.cores" parameter to mclapply.
>
> Make a simplified example v
You should use Stack Exchange for questions about statistics.
You should also think a bit before you post, regardless of where. You are
the one who described this as a highly asymmetric distribution, and didn't
say anything about it being centered at zero. You already answered your
own questio
Hi,
I have a quick question on Statistical distribution as follows, hoping
Statisticians here would give me very insightful feedback.
Say, I have a large sample from a highly asymmetric distribution ranging
from -Inf to +Inf. Now I wish to calculate sample X1 and X2 within which
middle 70% probab
Use "top" at the bash prompt.
Read about the "mc.cores" parameter to mclapply.
Make a simplified example version of your analysis and post your question in
the context of that example [1][2][3]. You will learn about the issues you are
dealing with in the process of trimming your problem, and wi
The effectiveness of parallelizing code, be it with mclapply or otherwise,
depends in large part on the code, which you failed to show.
I cannot answer your other question.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into
Your question is notable for what it is missing... any trace of R code.
[1][2][3] Do read the Posting Guide.
I don't see "Sargan" in base R, so your analysis likely used a contributed
package... there seem to be a couple, so your example code would clarify. I
don't see the number of IVs listed
dear members,
I am using mclapply to parallelize my code. I am
using Red Hat Linux in AWS.
When I use mclapply, I see no speed increase. I doubt that the Linux OS is
allowing fewer than the maximum number of cores to mclapply ( by default,
mclapply takes all the ava
No substantive comment.
But your addendum does bring to mind Gilbert and Sullivan (HMS Pinafore):
"
I am never known to quail At the fury of a gale, And I'm never, never sick
at sea! Chorus. What, never? Captain. No, never! Chorus. What, never?
Captain. Hardly ever! "
https://www.letssingit.com/
Hi, My name is Luke and I come from Poland. I have one question, maybe very
simple, but I can not resolve it. In dynamic panel data (GMM estimator) after
running the model, I recieve a AR test and Sargan test, but the "number of
instruments" are not displayed. In Stata and Gretl this informati
How about "Physics / politics / economics are my favoruite subject"?
Might be fun to see how long we could make that list. It seems to be
a fact of life that it's impossible to make a (useful) language that
has totally consistent grammar.
Something else to consider:I knew an English teacher wh
Bert,
Thanks for your idea. However, the end results is not what I am looking
for. Each initial data frame in the list will result in just one row in
the final data frame. In your case
Row 1 of the initial structure will become 1 b 2 c3d NA NA NA NA in the
end structure
Row 2 of the initial s
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