Is there a way to use R to convert a BAK file to something more usable? I do not know of a library to do this, or if I could even do it using native R.
I saw on this website, that I could use SQL Server Management Studio to do this; but I am trying to not install extra software on this machine.
This may not be currently supported, but I wanted to ask before installing additional software. Thank you all in advance!
Related
I'm currently working on an university research related software which uses statistical models in it in order to process some calculations around Item Response Theory. The entire source code was written in Go, whereas it communicates with a Rscript server to run scripts written in R and return the generated results. As expected, the software itself has some dependencies needed to work properly (one of them, as seen before, is to have R/Rscript installed and some of its packages).
Due to the fact I'm new to software development, I can't find a proper way to manage all these dependencies on Windows or Linux (but I'm prioritizing Windows right now). What I was thinking is to have a kind of script which checks if [for example] R is properly installed and, if so, if each used package is also installed. If everything went well, then the software could be installed without further problems.
My question is what's the best way to do anything like that and if it's possible to do the same for other possible dependencies, such as Python, Go and some of its libraries. I'm also open to hear suggestions if installing programming languages locally on the machine isn't the proper way to manage software dependencies, or if there's a most convenient way to do it aside from creating a script.
Sorry if any needed information is missing, I would also like to know.
Thanks in advance
I am working with a tool written in Microsoft Access and my job is to replace some of the graphs/charts in the tool with graphs created in ggplot2 in R.
I can create the graphs in R and copy paste it to the tool but the problem is the tool is used by people who are not familiar with R language so I need to make an automation connecting R and Microsoft Access. Has anyone did this before? Thanks for your help.
Breeze
So, I'm working on a big data project which requires importing data into Visual Studio and using Microsoft's R packages, in particular, the RevoScaleR packages. So, this is all well and good. I've written my scripts. What I would like to do is set it up so an end-user (who doesn't know anything about programming or R) can enter a set of parameters/values into my predict() function and see the output on his/her screen through a web interface or GUI/similar.
Any suggestions?
Thanks.
You can achieve this by leveraging Microsoft R Server's Operationalization Features, as this is a general question, please see the guides here:
https://msdn.microsoft.com/en-us/microsoft-r/operationalize/quickstart-publish-web-service
I tried RInside's Qt example qdensity and really liked it. It was easy to setup and I was surprised how easy it was to understand and modify given that I have virtually no Qt experience. Now I wonder whether it is possible to use RInside with R somewhere on a remote machine.
It seems that I cannot use RInside for this purpose. I wonder whether there is another way of creating a Qt Desktop app, that communicates with R on some server. I got R Studio Server running and I am really happy with it, but it's for the R people. In order to promote my R stuff within our institute also among non-R people I would like to offer a simple, very limited GUI that can do basics things like showin' some graph or starting a R CMD Batch. I also know shiny (and shiny server) and have been actively testing it recently, but I am looking for a simple Desktop client go connect with my server-side R.
Is there a basis to start out with Rserve and Qt?
Any suggestions (where to start, examples, generally bad idea) ???
What are R's capabilities to handle something like this IPC or D-Bus stuff.
Use Qt with C++, and just process the files that you create with R on you're server.
So for example: create the graphic and save in a format that you can load. BMP, PNG etc. Load it to you're GUI.
Also I suggest Qt Creator for GUI design. Its fast and simple. This idea only fits you if you don't want to stay in in R environment.
When I have created programs that process data and calculate things like probabilities and charts, usually use HTML for the interface using PHP and leaving the rest of the processing (for example R scripts) to the server.
For any recent visitor: Take a look at openCPU, it publishes R functions as restful services and does all the marshalling from R data types from and to JSON.
Here's the scenario:
I have JBoss serving a web service with JBossWS providing me with a wsdl. I have connected and used it from both .NET and Java so far (and it has been quite easy once I figured it out). I am now trying to do the same with R.
Is there anything out there considered to be "the right way" for doing this? I am not that familiar with R, and my searches have not turned up much, so I figured I'd ask and maybe spare my head and the wall a bit of damage.
I have had good luck using rJava to recreate in R something that works in Java. I use this method for connecting to Amazon's AWS Java SDK for their API with R. This allows me, for example, to transfer files to/from S3 from R without having to recreate the whole connection/handshake/boogieWoogie from R.
If you wanted to go more "pure R" I think you'll have to use some combination of RCurl and the XML package to grab and parse the wsdl.
There are a number of ways:
You could retain your Java approach and use the rJava package around it
You could use RCurl which is used to power a few higher-level packages (accessing Google APIs, say)
I believe there is an older SSOAP package on Omegahat which may help too.