similar to: Is there a tool to find unused functions?

mvbutils::foodweb produces a graphical display of the hierarchy (or network or ...) of function calls. Isolated functions are not called. This might help you. -- Mike On Wed, Nov 15, 2017 at 12:44 AM, Alexander Engelhardt <alex at chaotic-neutral.de> wrote: > I've inherited a large R codebase which has grown over a few years and a few > different developers. > > It

I don't know the right computer science words for this question, I'm afraid. Apology in advance. How do you find your way around in somebody else's code? If the user runs a specific command, and wants to know how the data is managed until the result is returned, what to do ? I've tried this manually with tools like mtrace and browser. This is a bit frustrating because the

Hi, Is there a function taking a function as an argument, which returns all the functions it calls, and all the the functions those functions call, and so on? I could use Rprof, but that would involve executing the function, which may miss some branches of code. I'd really like a function which looks at the source code to work out all the functions that could possibly be called. When I

library("lintr") Error: package or namespace load failed for 'lintr' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]): there is no package called 'magrittr' library("magrittr") Error in library("magrittr") : there is no package called 'magrittr' session.Info(): R version 3.4.4 (2018-03-15) Platform:

Hi, I'd like to know which functions in a package call one specific function. I think I've seen a tool for identifying such dependencies, but now I can't find it :-( Searches of help and R site search for keywords like function, call, tree, depend haven't helped :-( Can anyone point me in the right direction? Thanks in advance, Keith Jewell

Hi guys, I am logging data about my body (weight, body fat, blood pressure, ..) in a .csv file and would like to plot this as a time series. I uploaded the (noisified) .csv, you can see the link in the code I have so far (you can run the code directly as-is): df.raw <- read.csv("http://www.chaotic-neutral.de/temp/stats-noised.csv", sep=";", dec=".")

Hello dear R help group, I wish to create a flowchart of my R code (specifically for profiling the connection of different functions). Maybe something similar to this: http://www.fatesoft.com/s2f/ But for R, and that it will be free (open source would be best). After some searching, I found this package: http://cran.r-project.org/web/packages/diagram/ But couldn't find a way to this

Hi, x <- 0.2*5 is.integer(x) gives me FALSE because R stores it as a float number, right? Is there an elegant way to work around that problem? Right now I'm using x <- 0.2*5 round(x) == x which returns TRUE. But more strictly I should use all.equal(), right? I somehow just don't like the--pardon--ugliness of those pieces of code. Maybe there is a beautiful

I've had a lot of requests for additions to the reproducible research task view that fall into a grey area (to me at least). For example, roxygen2 is a tool that broadly enable reproducibility but I see it more as a tool for better programming. I'm about to check in a new version of the task view that includes packrat and checkpoint, as they seem closer to reproducible research, but also

Greetings - Is anyone aware of an automatic code diagrammer/flow chart creator that works for the R language (either a contributed package, or external software)? I need to explain some code structure of a package I'm working on to non-R users, and would find it extremely helpful to have such a program similar to, for example, Visustin ( http://www.aivosto.com/visustin.html ). I can do it

Hi r-help, I have a weird problem. When I plot anything, say plot(1:10), a plot window opens but it's empty. It looks just like this: http://i.imgur.com/9uqO6.png I have to resize the window, either by clicking the fullscreen icon on the menu bar, or by dragging the borders. Then the plot is shown, but strangely in the original size of the window, where it was before the resize:

Hey, I just read another post about calling R from C. Someone on stackoverflow (DWin makes me suspect its David W.?) referenced this: http://www.math.univ-montp2.fr/~pudlo/R_files/call_R.pdf Which made me think: Why is a loop in R bad, but in C not? And where exactly does looping cost the most? I wrote a piece of code for my bachelor's thesis where I loop from 1 to 500, and estimate a

Hi All; This problem has come about from trying to learn some of the review practices recommend by rOpensci. One of them is to use the package goodpractice. After installing goodpractice, it kept failing on my own packages which are under development, and I was concerned something was funny in my own , so I have a fork of the package rerddap, and I tested goodpractice on that. I get the

withr:::set_makevars() can give that error if the makefile named by the 'old_path' argument (default "~/.R/Makevars) contains more than one definition of a variable of the form 'name=value'. You can see what file it is reading and its contents by using the trace() function: trace(withr:::set_makevars, quote({ cat(old_path, "\n"); writeLines(paste0(" ",

Changing the vapply() behavior makes sense in principle. I analyzed the CRAN code base using the R parser and found 143 instances of calling vapply with USE.NAMES=FALSE. These would need to be inspected to understand the consequences of the change. For reference: /AzureML/R/datasets.R:226 /BBmisc/R/toRangeStr.R:33 /DBI/R/DBDriver.R:205 /Kmisc/R/str_rev.R:37 /Matrix/R/diagMatrix.R:98

On Thu, Jan 22, 2015 at 12:45 PM, Achim Zeileis <Achim.Zeileis at uibk.ac.at> wrote: > On Thu, 22 Jan 2015, Max Kuhn wrote: > >> I've had a lot of requests for additions to the reproducible research >> task view that fall into a grey area (to me at least). >> >> For example, roxygen2 is a tool that broadly enable reproducibility >> but I see it more as

Hello, pointed to the article "Debugging Without (Too Many) Tears" of Mark Bravington in Rnews Vol 3/3, December 2003 there is a package mvbutils mentioned. So I started to install this package from within R > install.package(mvbutils) I receive an error essage that this package is not found! Is due to a merge,removal or rename of this package? When I try to follow this

Hello Colleagues, I've recently become a fan of Mark Bravington's mvbutils package for organizing analysis projects in a tree. Using cd(), Save(), fixr(), mlazy() etcetera solves nicely some of the nuisances that have worried or annoyed me and sometimes caused big problems over the years. Well thought out. Now one feature that would be fabulous would be automatic time-stamping of

Thanks, Duncan. The files in question are Emacs Org-mode files, and I think these are more or less isomorphic to Rmd files, but I haven't used Org-mode in a long time, so I think the mapping (Org-mode ==> Rmd) would be painful. -- Mike On Mon, Feb 19, 2018 at 1:20 AM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 18/02/2018 9:06 PM, Michael Hannon wrote: >>

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120",