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antonio wants to draw more attention to this question:
Explain what is the proper workflow when you are building two packages, where one depends on the other. What is the correct way to run devtools::check() on the depending-on package?
I want to add a local package dependency using R devtools.
The suggested way to add packages to the package DESCRIPTION file is one of the two functions use_package() and use_dev_package(), from the usethis package. The latter adds a dependency on an in-development package. The function help shows the following prototype:
use_dev_package(package, type = "Imports", remote = NULL)
where remote is
a character string to specify the remote, e.g. ‘"gitlab::jimhester/covr"’, using any syntax supported by the remotes package.
The remotes vignette shows the following
# Local
Remotes: local::/pkgs/testthat
So the command should be along these lines:
use_dev_package(foopack, type = "Imports", remote = "local::<foopack>")
However, what should be the path to the foopack. An absolute one or relative to project dir? The root package directory or the R directory with the code, or perhaps the foopack.tar.gz build?
All attempts failed for me.
Needless to say that, beyond having the local dependency properly listed in the DESCRIPTION file, I need it to be seen by the devtools build & check functions.
Edit
As regards use_dev_package(), I found a solution:
if I use devtools::check(), then the dependency appears in the search path, and use_dev_package() does not complain any more (see answer below).
However, it is still unclear to me what arguments should I use to make a development check() for the main package, in particular when the package has a vignette.
Ideally, I should be able to pass the check with local dependencies by passing cran = FALSE, but this still gives
"Package required but not available".
It seems that I have to check the local dependencies before adding them to the description file.
devtools::check("path/to/foopack")
usethis::use_dev_package("foopack", remote ="local::path/to/foopack")
The paths can be relative or absolute, and even a single colon works.
It might be worth noting that, when I build the main package, I can use the ordinary:
devtools::build()
but, for a successful check, I need to use the remote argument:
devtools::check(remote = TRUE)
I can't see a rationale for restating what is in the DESCRIPTION file, but I do not have enough expertise to say it's a bug.
Let's see what the others say in this regard.
Edit
Unfortunately, it seems that the remote argument above does not apply to vignettes. So, if I add a vignette to the package, checks fail with local packages
Until an actual solution is found, all I can do is (sadly) to ignore vignette checks:
devtools::check(remote = TRUE, vignettes = FALSE)
Related
I have an R package, created by someone else that I have been made a collaborator on, that I want to work on and develop. I've already cloned the repository to my local computer through the Create Project > Clone from GitHub route in RStudio, and since then I've been editing the scripts, but not working with it as a package. As in, I had been adding functions and working on a Shiny interface, but not following any R package development rules (loading packages directly into the .R files, not updating the NAMESPACE, using roxygen2 conventions, etc.).
Everything I've read mentions devtools::install_github, but I don't want to install and use it, I want to edit it like I've been doing. I also want it to still be connected to Git (so I can continue to commit and pull from the remote server, once my collaborators make edits). I've tried devtools::load_all() and devtools::document(), but it gives me this warning:
Error in FUN(X[[i]], ...) :
bad restore file magic number (file may be corrupted) -- no data loaded
In addition: Warning messages:
1: In readChar(con, 5L, useBytes = TRUE) :
truncating string with embedded nuls
2: file ‘file_example.rda’ has magic number 'X'
Use of save versions prior to 2 is deprecated
Do I need to delete my local copy and do something different to work with it as a package so that the functionality of roxygen2 and the NAMESPACE documentation will work correctly? Or is there an obvious reason for this error/something I'm missing about how to work with it as a package, how it is currently?
Thanks!
It looks like file_example.rda is corrupt
Can you just load it in R and check what it contains?
You could try:
tools::resaveRdaFiles( 'file_example.rda', compress='xz' )
And see if that saves it in a way that is acceptable?
Typically, when starting up an renv project, one gets a message that looks something like this:
* Project '~/path/to/project' loaded. [renv 0.10.0]
I am trying to suppress this message, particularly when non-interactively running a script from this project.
Checking the package help, I noted ?config i.e. User-Level Configuration of renv. Specifically, I found synchronized.check, of which the document states is for controlling how renv lockfile synchronization is checked (this is also outputted to the console). However, I couldn't find how to control the main startup message. I also checked the ?settings but found nothing relevant either.
I've tried fiddling with options and Sys.setenv without luck so far.
So, is it possible to suppress the message, seeing that the renv script activate.R controls how the package itself is loaded?
You are correct that there isn't a specific documented way to configure this in renv. For now, you can set:
options(renv.verbose = FALSE)
before renv is loaded. (You may want to turn it back to TRUE if you want renv to display other messages as part of its normal work.)
You can suppress library startup messages with suppressPackageStartupMessages, e.g.
suppressPackageStartupMessages(library(igraph))
There is also suppressMessages for arbitrary function calls.
I'm working on a somewhat complex package (that I unfortunately can't share) that involves a Shiny app, and it an issue has surfaced where I'm getting these warnings when testing:
package [package name] found more than once, using the first from [file path]
In library(testthat) : package ‘testthat’ already present in search()
The first one occurs because I'm using system.file to pull a file in inst that I use for testing.
I've tried to do some debugging with .libPaths and by forcing system.file to go to the .libPaths default with the lib.loc argument, but that doesn't do anything.
I've tried uninstalling the package, which works because then there are not multiple results for find.package.
It seems like testthat adds the current directory to the library paths while it's running, and this creates the issue with system.file and consequently, find.package.
I'm really confused as to what's causing this. I'm combing through the changes I've made and I can't seem to find anything. Any ideas are helpful. I've tried googling this error messages and all that comes up is the source.
The issue here was with changing the option setting for verbose. That caused more output to result from the code, which broke a lot of tests. I hope this helps someone in the future.
I want to deploy a basic trained R model as a webservice to AzureML. Similar to what is done here:
http://www.r-bloggers.com/deploying-a-car-price-model-using-r-and-azureml/
Since that post the publishWebService function in the R AzureML package was has changed it now requires me to have a workspace object as first parameter thus my R code looks as follows:
library(MASS)
library(AzureML)
PredictionModel = lm( medv ~ lstat , data = Boston )
PricePredFunktion = function(percent)
{return(predict(PredictionModel, data.frame(lstat =percent)))}
myWsID = "<my Workspace ID>"
myAuth = "<my Authorization code"
ws = workspace(myWsID, myAuth, api_endpoint = "https://studio.azureml.net/", .validate = TRUE)
# publish the R function to AzureML
PricePredService = publishWebService(
ws,
"PricePredFunktion",
"PricePredOnline",
list("lstat" = "float"),
list("mdev" = "float"),
myWsID,
myAuth
)
But every time I execute the code I get the following error:
Error in publishWebService(ws, "PricePredFunktion", "PricePredOnline", :
Requires external zip utility. Please install zip, ensure it's on your path and try again.
I tried installing programs that handle zip files (like 7zip) on my machine as well as calling the utils library in R which allows R to directly interact with zip files. But I couldn't get rid of the error.
I also found the R package code that is throwing the error, it is on line 154 on this page:
https://github.com/RevolutionAnalytics/AzureML/blob/master/R/internal.R
but it didn't help me in figuring out what to do.
Thanks in advance for any Help!
The Azure Machine Learning API requires the payload to be zipped, which is why the package insists on the zip utility being installed. (This is an unfortunate situation, and hopefully we can find a way in future to include a zip with the package.)
It is unlikely that you will ever encounter this situation on Linux, since most (all?) Linux distributions includes a zip utility.
Thus, on Windows, you have to do the following procedure once:
Install a zip utility (RTools has one and this works)
Ensure the zip is on your path
Restart R – this is important, otherwise R will not recognize the changed path
Upon completion, the litmus test is if R can see your zip. To do this, try:
Sys.which("zip")
You should get a result similar to this:
zip
"C:\\Rtools\\R-3.1\\bin\\zip.exe"
In other words, R should recognize the installation path.
On previous occasions when people told me this didn’t work, it was always because they thought they had a zip in the path, but it turned out they didn’t.
One last comment: installing 7zip may not work. The reason is that 7zip contains a utility called 7zip, but R will only look for a utility called zip.
I saw this link earlier but the additional clarification which made my code not work was
1. Address and Path of Rtools was not as straigt forward
2. You need to Reboot R
With regards to the address - always look where it was installed . I also used this code to set the path and ALWAYS ADD ZIP at the end
##Rtools.bin="C:\\Users\\User_2\\R-Portable\\Rtools\\bin"
Rtools.bin="C:\\Rtools\\bin\\zip"
sys.path = Sys.getenv("PATH")
if (Sys.which("zip") == "" ) {
system(paste("setx PATH \"", Rtools.bin, ";", sys.path, "\"", sep = ""))
}
Sys.which("zip")
you should get a return of
" C:\\RTools|\bin\zip"
From looking at Andrie's comment here: https://github.com/RevolutionAnalytics/AzureML/commit/9cf2c5c59f1f82b874dc7fdb1f9439b11ab60f40
Implies we can just download RTools and be done with it.
Download RTools from:
https://cran.r-project.org/bin/windows/Rtools/
During installation select the check box to modify the PATH
At first it didn't work. I then tried R32bit, and that seemed to work. Then R64 bit started working again. Honestly, not sure if I did something in the middle to make it work. Only takes a few minutes so worth a punt.
Try the following
-Download the Rtools file which usually contains the zip utility.
-Copy all the files in the "bin" folder of "Rtools"
-Paste them in "~/RStudio/bin/x64" folder
I want to use packrat on a Windows 7 machine with no internet connection.
I have downloaded all binary packages from http://cran.r-project.org/bin/windows/contrib/3.1/ into the local folder C:/xyz/CRAN_3_1.
The problem is now that
packrat::init(options=list(local.repos="C:/xyz/CRAN_3_1"))
throws a bunch of warnings and errors like
Warning: unable to access index for repository http://cran.rstudio/bin/...
Warning: unable to access index for repository http://cran.rstudio/src/...
Fetching sources for Rcpp (0.11.4) ... Failed
Package Rcpp not available in repository or locally
As it seems packrat tries to find
the binary version of Rcpp on CRAN (fails since there is no internet connection)
the source of Rcpp on CRAN (fails since there is no internet connection)
the local source of the package (fails since I only have the binaries)
What I don't understand is why packrat does not also search for the local binary package...
Question 1: I could download the source CRAN repository to get around this problem. But I would like to know from you guys whether there is an easier solution to this, i.e., whether it is possible to make packrat accept a local binary repo.
Question 2: When I create my own package myPackage with packrat enabled, will the myPackage-specific local packrat library also be included in the package? That is, assume that I give the binary myPackage zip File to one of my colleagues who does not have one of the packages that myPackage depends on (let's say Rcpp). Will Rcpp be included in myPackage when I use packrat? Or does my colleague have to install Rcpp himself?
I managed to hack around this problem. Please bear in mind that I have never used packrat before and that I do not know its "proper" behaviour. But my impression is that the hack works.
Here is how I did it:
Open your project, load packrat via library(packrat)
type fixInNamespace("snapshotImpl",ns="packrat") - a window opens - copy its content into the clipboard
Go to /yourProjDir/ and create a file snapshotImplFix.R
Copy the clipboard's content into this file ...
... but change the first line to
snapshotImplFix=function (project, available = NULL, lib.loc = libDir(project),
dry.run = FALSE, ignore.stale = FALSE, prompt = interactive(),
auto.snapshot = FALSE, verbose = TRUE, fallback.ok = FALSE,
snapshot.sources = FALSE)
Note snapshot.sources = FALSE! Save and close the file.
Create /yourProjDir/.Rprofile and add
setHook(packageEvent("packrat","onLoad"),function(...) {
source("./snapshotImplFix.R");
tmpfun=get("snapshotImpl",envir=asNamespace("packrat"));
environment(snapshotImplFix)=environment(tmpfun);
utils::assignInNamespace(x="snapshotImpl",value=snapshotImplFix,ns="packrat");})
Points 2-6 fix the problem with the snapshot.sources argument being TRUE by default (I did not find a better way to change that...)
Finally, we have to tell packrat to take our local repository. It's important that you have the right folder structure. Therefore I moved the repo from C:/xyz/CRAN_3_1 to C:/xyz/CRAN_3_1/bin/windows/contrib/3.1. Do not forget to run library(tools);write_PACKAGES("C:/xyz/CRAN_3_1/bin/windows/contrib/3.1"); if you also have to move your files.
Open yourProjDir/.Rprofile again and add at the end
local({r=getOption("repos");r["CRAN"]="file:///C:/xyz/CRAN_3_1";r["CRANextra"]=r["CRAN"];options(repos=r)})
Note the 3 / right after file! Save and exit file.
Close the project and re-open.
Now you can execute packrat::init() and it should run without errors.
It would be great if someone with more experience regarding packrat could give his/her input so that I can be sure that this hack works. Any pointers to proper solutions are highly appreciated, of course.