similar to: R encrypt/decrypt

Hello, I am working on tests to compare figures. I have been using ImageMagick, which creates a figure signature, and I can compare a "test" figure signature against a saved "reference" figure signature. It seems to work pretty well. However, it is slow as it requires reading from the file system. Are there any options to compare figures on memory? For example, if I

I suggest perceptual diff. You could write a wrapper around it. http://pdiff.sourceforge.net On Mon, 7 May 2018 16:49 Ramiro Barrantes, <ramiro at precisionbioassay.com> wrote: > Hello, > > I am working on tests to compare figures. I have been using ImageMagick, > which creates a figure signature, and I can compare a "test" figure > signature against a saved

Hello, In my code I found something that looks like an anomaly, I found a reproducible example in which I am just trying to compare each row in a data frame against the first row: a<-data.frame(row=c("B","C","B"),column=c(2,2,10),assay=c("Assay1","Assay1","Assay1"),plate=c(1,1,1),stringsAsFactors=FALSE) apply(a[1:2,],1,function(x) {

Hello, I have a program that consists of a loop fitting a function over many models. Sometimes the fitting on a particular model takes minutes to converge. Is there a way that I can limit the amount of time that R spends on a given model: say if my line is: fittingFunction( func, model.1) can I have some function: stopIfUnderTime( fittingFunction( func, model.1) , 5 ) where

>>>>> 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 but your knowledge is severely (:-) outdated.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?

Hello, I come from using different programming languages (C++, Mathematica, Perl) but have been using R extensively for several months. I see the data frame as a key piece of the language and wanted to inquire people's experience regarding its use. Say you have a data frame D D <- data.frame(some columns) and you define a function that needs the information from this data frame and is

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, I was relying on withTimeout (from R.utils) to help me stop nlme when it ?hangs?. However, recently this stopped working. I am pasting a reproducible example below: withTimeout should stop nlme after 10 seconds but the code will generate data for which nlme does not converge (or takes too long) and withTimeout does not stop it. I tried this both on a linux (64 bit, CentOS 7, R 3.4.1,

Hello, I tried looking for a Sweave-specific list but didn't find one, nor did I find an answer via google, so will send this question to the general R list. Please feel free to point me in the right direction. I am using Sweave and would like to have a single .Rnw document that generates 1) a summary report, 2) a full report, 3) slides for a talk. I think my material lends itself to have

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

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

Hello, I am using CentOS Linux 6.0, R 2.14.1 and nlme 3.1-103 I am trying to fit some models using nlme, and what was happening was that it would get to some datasets and just "stall", the memory usage would grow and grow and eventually crash. I looked carefully into one of the datasets and ran it separately. It worked. After narrowing down on all possibilities, I found that the main

>>>>> 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

Dear list, I am trying to reclaim what I think is lost memory in R, I have been using gc(), rm() and also using Rprof to figure out where all the memory is going but I might be missing something. I have the following situation basic loop which calls memoryHogFunction: for i in (1:N) { dataset <- generateDataset(i) fit <- try( memoryHogFunction(dataset, otherParameters)) } and

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

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]]