Has anyone successfully used the Google Predication API from within R? My goal is to perform the following tasks:
Upload and manage the data in Google Storage
Use this data to train a model from Google Prediction
I have followed the install instructions located here and here (when using Windows). I have not been able to successfully connect using both Mac OSX and Windows.
I suspect that the core issue is authentication. There is scattered documentation and I feel like I have tried everything (even the overview of the R package designed for this purpose).
I am not the greatest programmer, but I can typically follow along with code and piece together what I need from worked examples. At this point, though, I simply do not know what else to try.
Many thanks in advance.
Marc Cohen seems to be right, I think something is broken. However I managed to pass authentication, here is how:
Download the googlepredictionapi_0.12.tar.gz and extract it inside a temporary folder. Then open googlepredictionapi/R/prediction_api_init.R inside an Editor and remove the lines
myEmail <- ""
myPassword <- ""
myAPIkey <- ""
Afterwards repackage the source files and load them in R:
tar czf googlepredictionapi.mod.tar.gz googlepredictionapi
R
remove.packages("googlepredictionapi")
Now you should be able to follow the steps in [1] http://code.google.com/p/r-google-prediction-api-v12/. However instead of calling
install.packages("googlepredictionapi_0.12.tar.gz", repos=NULL, type="source")
you need to call
install.packages("googlepredictionapi.mod.tar.gz", repos=NULL, type="source")
Following the steps, at some point a file $HOME/.auth-token should be generated.
(You can even explicitly trigger this by calling explicitely: PredictionApiUtilGetAuth(verbose=TRUE), myEmail and myPassword must be set beforehands.)
For some reason the global variables that are manually set in [1] have been shadowed by the removed lines above. The same is actually true for the verbose option which you can pass to most API function calls as extra option ..., verbose=TRUE).
Hope this helps.
Last I heard (April of this year), R support for the Google Prediction API was not yet upgraded to use OAuth so when the Prediction API switched from the older client login scheme to OAauth 2.0, it effectively broke R functionality.
Related
I want to follow the advice I've read and heard to have both a main library in R_HOME/library and a user library. I'm using W10 on a desktop machine (not important, except that it gives me a name by which to refer to it), and I can't make R use the user library.
I have succeeded in doing that on a W10 laptop: C:/R/R-4.0.2/library contains some 30 recommended packages, and C:/Users/[username]/Documents/R/win-library/4.0 con contains a much larger number of packages in my user library.
As I recall, and as I wrote down when I did an upgrade on a server, all you have to do to create a site-library is to create a directory called C:/R/R-4.0.2/site-library, and R will use that the next time it starts.
To create a user library, create the directory C:/Users/[username]/Documents/R/win-library/4.0.
That seemed to work on my laptop, for I have seemingly a working R library and a user library there.
That seemed to work on the server, too: I have a library and a site-library.
In both cases, .libPaths() shows the same libraries that I see with Dired on the disk.
I tried to do the same thing on the desktop machine, and i can't make it work.
I created a directory C:/Users/[username]/Documents/R/win-library/4.0, restarted R, and ran .libPaths(); the only directory that was listed was C:/R/R-4.0.2/library.
Because I thought the Documents in that path seemed odd, I tried it again using C:/Users/[username]/R/win-library/4.0, still with no success.
https://cran.r-project.org/doc/manuals/r-release/R-admin.html#Managing-libraries seems pertinent, but I'm not sure how to interpret the output of Sys.getenv("R_LIBL_USER). I get "\\[toplevel]\[nextlevel]\Home$\[username]/R/win-library/4.0", which I presume is a long-winded way to get to /Home$/[username]/R/win-library/4.0 (aka C:/Users/[username]/R/win-library/4.0.
Suggestions? I've tried a number of other suggestions from SO, all to no avail.
I have two different versions of R installed, one which is up to date and which I use for all my regular R coding (needs to be up to date so that I can use various updated and new packages) and one which I use to access OLAP cubes (needs to be the R Client from Microsoft, because this is the only one which supports the olapR package, and which currently uses R version 3.4.3).
Since, in theory, I only have to access the OLAP cube once a month, I "outsourced" this task to a different RStudio project, in which I download and save the required data for all other projects. Hence, all other projects never require the olapR package to be installed and can and will be run in the up to date R version.
Now, ideally I would like to link my R version to my projects, so that I do not have to change my global R version and restart RStudio every time I access the OLAP cube or work on this data retrieval project (and then switch it back). However, I could not find any options in RStudio to achieve this result.
There are a few threads out there describing the same problem, but with no satisfactory answer in my opinion:
https://support.rstudio.com/hc/en-us/community/posts/200657296-Link-Project-and-R-Version
Rstudio project using different version of R
I also tried looking for a different package than olapR but with similar functionality, but could not find anything except X4R, which seems outdated and does not work for me (https://github.com/overcoil/X4R). Sadly, I am also unable to directly access the databases which the OLAP cube uses for its results, so I cannot go "around" it.
I am happy for any help or suggestions you can offer, whether it is a general workaround to link a project to a specific R version or the (less helpful for the community) solution of accessing the OLAP cube in a different way.
Thanks in advance!
Using the answer from MrGumble I created a .bat file that will execute my .R file using the desired R installation. Even though it is not the answer I thought I would get, I think it is an even better solution to the problem.
For all facing a similar issue, here is the .bat file (never created one before, so also had to google how to do it and I guess some might be in the same position):
#echo off
title Getting data for further processing in R
echo Retrieving OLAP data
echo.
"C:\Program Files\Microsoft\R Client\R_SERVER\bin\Rscript.exe" "C:\Users\me\Documents\Projects\!Data\script.R"
echo.
echo Saved data
echo.
pause
Thanks again to MrGumble for his help.
Skip RStudio.
RStudio is really just an editor (albeit powerful and useful) editor, which starts an R console for you (and the surrounding PATH variables, library locations, etc.).
If your monthly task only requires you to run the R-script (or a bit of interactive work), you can simply execute your preferred version of R from the command line and have it run your R script. E.g.
C:\Users\me>"C:\Program Files (x64)\Microsoft R\bin\Rscript" myscript.R
You might have to define some PATH variables so that the older R doesn't look for packages in the newer R's libraries, but that depends entirely on your current setup.
I am trying to integrate R into an Azure Function.
Instead of just calling the R exe - I want to be able to try the R.NET library to make it easier to pass and collect data between .NET and R. For example, respond to an event.
It runs fine locally, but once deployed as an Azure function, I get various errors. The latest ": This engine is not running. You may have forgotten to call Initialize"
For anyone else wanting to try this, I had to force the Azure function to run as 64bit, and also install the R extension library to the function. at RDotNet.REngine.CheckEngineIsRunning()
Has anyone had any success? Is anyone with R.NET experience wanting to help getting to work as an Azure function environment?
Looking at the code in R.NET for the functions RDotNet.REngine.GetInstance(), RDotNet.REngine.CheckEngineIsRunning(), and RDotNet.REngine.Initialize(), it appears as though creating the engine instance via RDotNet.REngine.GetInstance() should help you avoid this issue, as after calling that the method should be running, and you should not be encountering this area.
It is possible that you are encountering some error in creating this instance. Looking at the code comments about usage in the above link, it looks like an environment variable needs to be set for PATH. It is possible that the code you used to set this up does not work in Azure Functions. You can manually set environment variables in Azure Functions by using App Settings.
I have been using rdrop2 with relative success over the last few months. However, I recently returned from being away and nothing is working.
When I attempt to authenticate interactively via R, everything appears to go well. But when I run the command
drop_auth()
it returns
error
1 v1_retired
I think this stems from dropbox retiring the first version of their api and moving onto version 2.
Do I need to change something in my process of authentication to fix this? If so, what do I need to do?
Or is this more fundamental to the rdrop2 library?
Thanks,
Sam
This is due to the use of the now retired version of the Dropbox API. There's apparently an updated version of rdrop2 that uses the current version of the Dropbox API instead. More details here:
https://github.com/karthik/rdrop2/issues/152
I run Julia on Windows with the julia.bat file given in the zip archive. I have a couple of basic questions. This launches a DOS console.
When typing a plot() command Julia returns plot not defined. How to use the plot() function ? Is there a graphical interface available ?
When typing help I get:
What does it mean ?
There is also the launch-julia-webserver.bat file in the zip archive. When running this file two DOS windows open but nothing else happens. What can we do with this file and how ?
By the way I do not find any documentation answering such basic questions... of course if you know where to find such a documentation it would be an ideal answer.
To answer your immediate question, help is implemented as a function, and functions must be called with parentheses. Try help(), or to get help for a particular function in the standard library supply it as an argument; i.e., help(help).
When you enter a function name without the parentheses, the default is to print all of the implementations with their argument types.
The main Julia documentation is available online at http://docs.julialang.org/. We also have a mailing list at https://groups.google.com/forum/#!forum/julia-dev.
The webserver is pretty rough, especially on Windows. You should be able to open up http://localhost:2000/ with it running and access a web-based command environment. But you'll probably just want to stick to the normal command line.
Another contributor highlighted the response to help as a potential issue for new users and we've opened a bug on it at https://github.com/JuliaLang/julia/issues/1320. It's a new language and there's still plenty of rough edges, so thanks for helping us file those down!
To use launch-julia-webserver.bat, after you double-click it and the two DOS windows open, one of them should say "Connect to http://localhost:2000/ for the web REPL". If you open a web browser to http://localhost:2000/, you should be greeted with a welcome page that asks for your name and a session name.