search for: precisionbioassay

...u, <https://west.exch023.serverdata.net/owa/?ae=Item&a=New&t=IPM.Note&cc=MTQuMy4zMTkuMixlbi1VUyw2LEhUTUwsMCww&pspid=_1525698150389_875737489#> Ramiro Ramiro Barrantes Ph.D. Precision Bioassay, Inc. 431 Pine St., Suite 110 Burlington, VT 05401 802 865 0155 802 861 2365 FAX www.precisionbioassay.com<https://west.exch023.serverdata.net/owa/redir.aspx?SURL=wN3KzpoKXAcetH7sTOTnSyfg-iAXFIinpPUtRcduCFCtkgZrUSDTCGgAdAB0AHAAOgAvAC8AdwB3AHcALgBwAHIAZQBjAGkAcwBpAG8AbgBiAGkAbwBhAHMAcwBhAHkALgBjAG8AbQA.&URL=http%3a%2f%2fwww.precisionbioassay.com> ramiro at precisionbioassay.com CONFIDENTIA...

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 "reference" figure signature. It seems to work > pretty wel...

...[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base > Thank you, Ramiro Ramiro Barrantes Ph.D. Precision Bioassay, Inc. 431 Pine St., Suite 110 Burlington, VT 05401 802 865 0155 802 861 2365 FAX www.precisionbioassay.com<https://west.exch023.serverdata.net/owa/redir.aspx?SURL=wN3KzpoKXAcetH7sTOTnSyfg-iAXFIinpPUtRcduCFCtkgZrUSDTCGgAdAB0AHAAOgAvAC8AdwB3AHcALgBwAHIAZQBjAGkAcwBpAG8AbgBiAGkAbwBhAHMAcwBhAHkALgBjAG8AbQA.&URL=http%3a%2f%2fwww.precisionbioassay.com> ramiro at precisionbioassay.com CONFIDENTIA...

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]]

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

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

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,

..., short and long term disability, life insurance, 401k, generous time off policy, and flex time. Pay: Commensurate with experience. To Apply: Send cover letter and resume by US mail or email to: Precision Bioassay 257 S Union St Burlington, Vermont 05401 USA 802/865-0155 info at precisionbioassay.com (ATTN: Sarah Guth) Precision Bioassay is an equal opportunity employer. Women and people of color are encouraged to apply.

>>>>> Ramiro Barrantes <ramiro at precisionbioassay.com> >>>>> on Mon, 27 Nov 2017 21:02:52 +0000 writes: > 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...

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

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, 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

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hello, I have stored R objects as hexadecimals in a mysql database, I then usually transform them to binary and then save it into a file. E.g. hex <- getBlob #gets blob from database as hexadecimal binary <- transformToBinary(hex) #moves from hex to binary I would usually save them into a file as follows: writeBin(object=binary,con="fileName.txt") Then eventually if

Hello, I have again a "good practices"/programming theory question regarding data.frames. One of the fundamental objects that I use is the data frame with a particular set of columns that I would fill or get information from, and an entire system would revolve around getting information from or putting information to such data.frame. On a different OOP programming language I would be

Hello, I have a general question on the possibility of how to "catch and stop" a function when it uses too much memory. The problem is that some datasets, when applied to nlme (a relatively older version), cause the nlme function to just hang forever and start taking over memory (this afternoon one of those calls was about 40GB!) and not returning an answer. Other datasets work fine.

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 in this example it does not. I tried this both on a linux (64 bit, CentOS 7, R 3.4.1, nlme 3.1-131 R.util 2.6) and mac (Sierra 10.13.1, R 3.4.2, same versions or nlme and