Re: [R] on the growth of standard error

2020-08-22 Thread Abby Spurdle
> The absolute > value of e grows as L grows, but by how much? It seems statistical > theory claims it grow by an order of the square root of L. Assuming you want the standard deviation for the number of successes, given p=0.5: #exact 0.5 * sqrt (n) #numerical approximation sd (rbinom (1e6, n,

Re: [R] Export R outputs to SAS dataset

2020-08-22 Thread Daniel Nordlund
On 8/22/2020 9:05 AM, Rasmus Liland wrote: On 2020-08-22 08:17 +0530, Jomy Jose wrote: | Hi | I was able to run R code via PROC IML | in SAS,so is there any way to export | the generated outputs to SAS datasets | since the R outputs don't follow data | frame structure. Dear Jomy, But perhaps yo

Re: [R] System Requirements

2020-08-22 Thread Rasmus Liland
Dear Mike, On 2020-08-22 11:50 -0400, Patrick (Malone Quantitative) wrote: | On Sat, Aug 22, 2020 at 11:44 AM Firpo, Mike wrote: | | | | Hello, | | | | Reading the FAQ, I'm confused about | | whether R 4.0.2 is tested on Windows | | 7. I found the following: | | | | | 2.24 Does R run under Win

Re: [R] System Requirements

2020-08-22 Thread Duncan Murdoch
I don't know the answer to your main question, but if you're interested in knowing when that was written, you can see here https://github.com/wch/r-source/blame/trunk/doc/manual/R-FAQ.texi for the main FAQ, and here: https://github.com/wch/r-source/blame/trunk/doc/manual/rw-FAQ.texi for the W

Re: [R] System Requirements

2020-08-22 Thread Rui Barradas
Hello, Yes, R 4.0.2 works on Windows 7. As for Vista, I don't know, never tried. Hope this helps, Rui Barradas Às 18:52 de 21/08/20, Firpo, Mike via R-help escreveu: Hello, Reading the FAQ, I'm confused about whether R 4.0.2 is tested on Windows 7. I found the following: 2.24 Does R r

Re: [R] Export R outputs to SAS dataset

2020-08-22 Thread Rasmus Liland
On 2020-08-22 08:17 +0530, Jomy Jose wrote: | Hi | I was able to run R code via PROC IML | in SAS,so is there any way to export | the generated outputs to SAS datasets | since the R outputs don't follow data | frame structure. Dear Jomy, But perhaps you can take the outputs in SAS and work o

Re: [R] System Requirements

2020-08-22 Thread Patrick (Malone Quantitative)
Try it and see? On Sat, Aug 22, 2020 at 11:44 AM Firpo, Mike via R-help < r-help@r-project.org> wrote: > Hello, > > Reading the FAQ, I'm confused about whether R 4.0.2 is tested on Windows > 7. I found the following: > > > 2.24 Does R run under Windows Vista/7/8/Server 2008? > > > > It does. .

[R] System Requirements

2020-08-22 Thread Firpo, Mike via R-help
Hello, Reading the FAQ, I'm confused about whether R 4.0.2 is tested on Windows 7. I found the following: > 2.24 Does R run under Windows Vista/7/8/Server 2008? > > It does. ... > 2.2 How do I install R for Windows? > > Current binary versions of R are known to run on Windows 7 or later, >

Re: [R] on the growth of standard error

2020-08-22 Thread Bert Gunter
+ (in addition to Jeff's link) https://en.wikipedia.org/wiki/Binomial_distribution Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Aug 22, 2020 at 6:50 AM

Re: [R] on the growth of standard error

2020-08-22 Thread Jeff Newmiller
stats.stackexchange.com On August 21, 2020 1:25:06 PM PDT, Wayne Harris via R-help wrote: > >I'm intested in understanding why the standard error grows with respect >to the square root of the sample size. For instance, using an honest >coin and flipping it L times, the expected number of HEADS

[R] on the growth of standard error

2020-08-22 Thread Wayne Harris via R-help
I'm intested in understanding why the standard error grows with respect to the square root of the sample size. For instance, using an honest coin and flipping it L times, the expected number of HEADS is half and we may define the error (relative to the expected number) to be e = H - L/2, whe

[R] R^2, AICc, bootstrap CIs for Orthogonal regression

2020-08-22 Thread varin sacha via R-help
Dear R-experts, I have fitted an orthogonal regression and have some difficulties to get the adjusted R^2 and R^2, the AICc, the coefficients and R^2 bootstrap confidence intervals. Here below my R codes. Many thanks for your precious help. y=c(231,212,112,143,154,165,1