similar to: function coverage

My authentication (signup/login) is up and running in my app, now I need to implement an authorisation system. Its not going to be a complex one. One admin (me) and then normal members and premium members. Any tutorials or tips on a simple way to get this running? Thanks. -- Posted via http://www.ruby-forum.com/.

Is there a wine option to send the log output to a file? I'm doing the following: wineconsole --debugmsg +all program_name parm1 parm2 parm3 > /mylog.txt mylog.txt is not receiving a copy of the millions, nay billions!, of messages output. I'm using Redhat 7.3 and the 10/07/2002 RPMs. - Bill

>>>>> Winston Chang <winstonchang1 at gmail.com> >>>>> on Fri, 23 Jan 2015 10:15:53 -0600 writes: > I think you can simplify a little by replacing this: > pkg %in% loadedNamespaces() > with this: > .getNamespace(pkg) almost: It would be !is.null(.getNamespace(pkg)) > Whereas getNamespace(pkg) will load the

I have an application that is using active record outside of rails. the app works fine w/o the activerecord code, but when I added activerecord to the mix I started having trouble with constants not being recognized, e.g.: [echo] 1) Error: [echo] test_pipeline_cruncher(IntradayCruncher::TestPipelineCruncher): [echo] NameError: uninitialized constant INFO [echo]

Hi all, Profiling turned up a bit of a speedbump in the library function. I submitted a patch to the R bug tracker as bug 16168 and I've also included it below. The alternate code is simpler and easier to read/maintain, I believe. Any thoughts on other ways to write this? Index: src/library/base/R/library.R =================================================================== ---

Consider all the text that one sees on the console during an R session. Is there a way, within R, to make all this text--both the "output" and the "messages"--automatically get copied to a single text file, in addition to seeing it on the console? If I remember to save the console to a file at the end of my R session, that does it. But (1) That requires pointing and

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Mon, 26 Jan 2015 05:12:55 -0800 writes: > A isNamespaceLoaded() function would be a useful thing to > have in general if we are interested in readable code. An > efficient implementation would be just a bonus. Good point (readability), and thank you for the support! Note

We want to use SQL/active record for logging but limit the table size so that older messages disappear off of the table Some process has to run periodically to do that. Suppose I want to keep my table size to not much bigger than 50,000,000 rows or so. What is the easiest, most efficient way to delete any extra rows that there may be ? This is an SQL/active record problem I have not encountered

Hi, I just stumbled on the following apparent oddity: the package "datasets" does not appear to export anything out of its namespace: > ns_datasets <- getNamespace('datasets') > getNamespaceExports(ns_datasets) character(0) Not the case with other packages (example here with "utils"): > ns_utils <- getNamespace('utils') >

Hi all, Could anybody tell me what happened to my logistic regression in R? mylog=glm(mytraindata$V1 ~ ., data=mytraindata, family=binomial("logit")) It generated the following error message: Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor 'state1' has new level(s) AP Thank you!

Hello list, I'm regularly in the position where I have to do a lot of data manipulation, in order to get the data I have into a format R is happy with. This manipulation would generally be in one of two forms: - getting data from e.g. text log files into a tabular format - extracting sensible sample data from a very large data set (i.e. too large for R to handle) In general, I use Perl or

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Wed, 18 Apr 2018 14:16:37 -0700 writes: > Hi Bill, > Ideally, your coworker would just make an alias (or shortcut or > whatever) for R that passed --no-save to R. I'll try to look into this > though. > Michael Yes, indeed! As some of you know, I've

Dear all, Consider this code: >library("data.table") >unloadNamespace('data.table') It produces some warnings Warning in FUN(X[[1L]], ...) : Created a package name, ‘2013-10-29 17:05:51’, when none found Warning in FUN(X[[1L]], ...) : Created a package name, ‘2013-10-29 17:05:51’, when none found ... The warning is produced by the getPackageName() function. e.g.

'?removeClass' shows that 'removeClass' is from package 'package:methods'. Is there a command which can show me all the functions and the classed defined in a package such as 'package:methods'?

Please help me in writing the R code for this problem. I've been solving this for 4 days. It was hard for me to solve it. It's a simulation problem in R. The problem is My true model is a normal mixture which is given as 0.5 N(-0.8,1) + 0.5 N(0.8,1). This model has two components. I will get a random sample of size 100 from this model. I will do this 300 times. That means, I will have

Does anyone have any advice about profiling C/C++ code in a package under R? Does R need to be built specially for this to work? The FAQ has some entries about profiling but they cover R level profiling; I'm try to get at the C++ code I've written that is called from R. Primary target is Mac OS X. Thanks. Ross Boylan

well, the next place to go, if fsck isn't enough would be to to try debugfs(1) man debugfs. On Wed, Nov 18, 2015 at 8:39 PM, Boylan, Ross <Ross.Boylan@ucsf.edu> wrote: > I guess some of the trouble was that the virtual disk was mounted > read-only at the VM level. When I mounted read/write I was able to do > fsck, which gave messages about replaying the logs and a couple

Hello, I have a setup similar to Rweb ( http://www.math.montana.edu/Rweb/ ): I get R scripts from users and need to execute them in in a safe manner (they are executed automatically, without human inspection). I would like to limit the user's script to reading from STDIN and writing to STDOUT/ERR. Specifically, preventing any kind of interaction with the underlying operating system (files,

Hi, I'm very confused about R structures and the methods to go with them. I'm using R for microarray analysis with Bioconductors. Suppose without reading the documentations, what's the best way to explore a data structure when you know nothing about it? I am currently using is() / class() to see what the object is. str() / attributes() to probe inside the object, and

Full_Name: Ross Boylan Version: 2.10.0 OS: Windows XP Submission from: (NULL) (198.144.201.14) Some of the help for setGeneric seems to have been garbled. In the section "Basic Use", 5th paragraph (where the example counts as a single line 3rd paragraph) it says <quote> Note that calling 'setGeneric()' in this form is not strictly necessary before calling