similar to: MT940 and MT942

>>>>> Suzen, Mehmet <msuzen at gmail.com> >>>>> on Mon, 30 Oct 2017 11:16:30 +0100 writes: > Hi Frank, You could upload your R source file to a public > URL, for example to github and read via RCurl, as source > do not support https as far as I know. well... but your knowledge is severely (:-) outdated. Why did you not try first?

On 31 October 2017 at 12:42, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > Notably as I think it's been provided by a company that no > longer exists under that name, and even if that'd be wrong, R-Fiddle > does not seem free software (apart from the R parts, I hope !). For the record, r-fiddle is maintained by datacamp:

We were talking about r-fiddle. It gives error there [*], that's why I suggested using RCurl. > source("https://raw.githubusercontent.com/msuzen/isingLenzMC/master/R/isingUtils.R") ... unsupported URL scheme Error : cannot open the connection > On 30 October 2017 at 15:51, Martin Maechler <maechler at stat.math.ethz.ch> wrote: >>>>>> Suzen, Mehmet

Hello List, Can you recommend me if odeSolve can handle stiff delay differential equations with discontinuities? Or any other package? Best, -m

Dear List, According to datacamp support team, r-fiddle.org is not supported. We asked them to put it down as Professor Maechler suggested it is a waste of time for the R-help to respond to questions on something not maintained and severely outdated. If you would like to use R from your browser, you can embed the following into a web page: <script

Hello, I am working on a web system (php) that uses R in the backend, and we need some basic fast encryption/decryption for the underlying mysql database that can be used by both R AND php. It does not need to be top-of-the-line, but just provide some basic level of fast encryption/decryption. Any suggestions? Thank you, Ramiro [[alternative HTML version deleted]]

AFAIK block comment is not possible it needs to be implemented in R interpreter and defined in the parser.'If' solution is not elegant. On 2 September 2017 at 14:09, Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote: > > > On 02.09.2017 11:40, Christian wrote: >> >> I consider it quite worth while to introduce into R syntax a nestable >> block comment

This might be obvious but I was wondering if anyone knows quick and easy way of writing out a CSV file with varying row lengths, ideally an initial data read from a CSV file which has the same format. See example below. I found it quite strange that R cannot write it in one go, so one must append blocks or post-process the file, is this true? (even Ruby can do it!!) Otherwise it puts

This might be obvious but I was wondering if anyone knows quick and easy way of writing out a CSV file with varying row lengths, ideally an initial data read from a CSV file which has the same format. See example below. I found it quite strange that R cannot write it in one go, so one must append blocks or post-process the file, is this true? (even Ruby can do it!!) Otherwise it puts

>>>>> Suzen, Mehmet <msuzen at gmail.com> >>>>> on Mon, 30 Oct 2017 16:05:18 +0100 writes: > We were talking about r-fiddle. It gives error there [*], > that's why I suggested using RCurl. >> source("https://raw.githubusercontent.com/msuzen/isingLenzMC/master/R/isingUtils.R") > ... unsupported URL scheme Error

Hello, I wish to count how often zero (0) appears in the vector test. test [1] 1 1 1 1 1 1 2 1 1 1 0 2 0 1 1 0 0 0 1 1 1 0 1 2 1 1 1 1 1 1 I think of something like ... > sapply (test, function (x) if (x==0 ... ... but actually I dont know how to carry on. Could anybody give me a hint? Thanks Hermann [[alternative HTML version deleted]]

Hi All, I want to know how to run an R file on my computer in R-Fiddle? I tried source("filename.r"), but not working. thanks, Frank [[alternative HTML version deleted]]

Hi all, I would greatly appreciate if someone was so kind and share with us a package or method that uses a regularized regression approach that balances a regression model performance and model complexity. That said I would be most grateful is there is an R-package that combines Ridge (sum of squares coefficients), Lasso: Sum of absolute coefficients and Best Subsets: Number of coefficients as

Hi Frank, You could upload your R source file to a public URL, for example to github and read via RCurl, as source do not support https as far as I know. Here is a working example. library('RCurl') tmatrix <- getURL("https://raw.githubusercontent.com/msuzen/isingLenzMC/master/R/isingUtils.R") eval(parse(text=tmatrix)) Not that you need to use raw URL for github file. Best,

I also suggest you Hadley's optimized package for interoperating xls files with R: https://github.com/tidyverse/readxl https://cran.r-project.org/web/packages/readxl/index.html

Is the reason you want a block comment containing code (as opposed to arbitrary text) that you want to be able to easily run the commented out code? If so the 'if()' construct has the advantage that you only need to change code at the start of the comment, not at both ends. The if(FALSE) could be if(isTRUE(getOption("DEBUG_ISSUE_XYZ"))) so you would not even have to change code

"Data set flchain available in the survival? package". ?How can?I get?it (from R)? as Excel file? Thanks! [[alternative HTML version deleted]]

Does anyone know of some code, and examples that implement game theory/Nash equilibrium hypothesis testing using existing packages like igraph/statnet or similar? Perhaps along the lines of this article: Zhang, Y., Aziz-Alaoui, M. A., Bertelle, C., & Guan, J. (2014). Local Nash Equilibrium in Social Networks, *4*, 6224. Best, Chris Buddenhagen cbuddenhagen at gmail.com [[alternative HTML

2017-11-30 3:14 GMT+01:00 Suzen, Mehmet <mehmet.suzen at gmail.com>: > My understanding is that there is no inconsistency. `is` does what it > claims, from the documentation: > > ?is?: With two arguments, tests whether ?object? can be treated as > from ?class2?. > > With one argument, returns all the super-classes of this > object's

Hello List, Probably many of you aware of the Julia language (http://julialang.org/), It is a promising project. However it seems like R is very slow in their benchmarks. Very important point they omit, they did not use R's own JIT ! I had a feeling that R is mistreaded there :) Also another important point is that they all use for-loops in R instead of vectorized code! Any thought on