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I'm considering using R in my work. Primarily I am interested in ggplot2, dplyr and tidyr, probably using the RStudio environment.
I deal with a lot of sensitive educational data, such as names, dates of birth etc and could only only use R at work if I knew the data were safe.
Will my data be kept private/confidential or is it shared in any way?
By default, data or code is not shared to the outside world. This may not hold for cases including but not confined to:
when you are using (online) version control
if you are pushing a report to RPubs repository
using R on a server, which may be accessible to third parties
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I'm building a program that I want to be able to exchange information with other programs running in another computer. I started using C# and a library called SimpleTCP. The main issue is that is too simple and only send and receive messages.
I'm looking for something that I can predetermine functions that one or the other can call from each other.
I looked on google and stack overflow but I was unable to find an appropriated subject to study, what should I be looking for to learn this? Thank you
The most complete protocol for what you want is gRPC. There is a learning curve but worth it in my opinion. https://github.com/grpc/grpc
There is a way but it's little bit different
Such programs like this written in tow different languages
You can make a center database between the both programs
In this situation it's very easy to communicate and receive ,send data
You can mysql ,oracl, mariadb or any Database you prefer
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I've trained a model using R, but now I am trying to deploy it in the current stack using NodeJS, I know that the model can be store as an RDS, but I'm not sure if I can use this model externally. Has anyone done this?
I think there are 2 answers.
The general case:
No, this is not only data represented in an R format (.RDS) it's also only really a "model" when it's being interpreted by not even just R, but the R library running on R that trained the model (stats, caret, optimr, etc). So you could launch R from another language like NodeJS, but it will still need to hit R at some point in the process.
and the exception
If you create a PMML model in R, you could export it and read it in another language, as that's universal.
You can expose your model as a REST API and call it from any language
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My research team has a series of "relatively" standard analyses that they run for different experiments, but need slightly different analysis procedures. I want to give them the freedom to analyze their own data, despite being programming naive. I would like to create a GUI that asks them a series of questions that will lead them to the right script (which I will have written, and have available on the back end) so that they can just push "run" and have their analysis spit out.
Any ideas on how to create a GUI that will lead them to the right script would be fantastic. Even better would be a GUI that allows them to input variable names, which then amend the code so that the outputs are a little more custom.
If you have access to a web server (intranet or internet), Shiny can do what you want. It is a web application layer on top of R.
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I am writing an R code that has many different functions that eventually I will want to use all together on different data sets.
As I keep building functions it seems to be getting harder to keep track of everything in my script.
My question is, is it proper R coding to break functions into separate R Scripts or should it all be in one massive script?
Thank you for your help. This is my first time trying to code something this large!
-B
Yes, you can store your functions in multiple R scripts.
If you need to call them, you can use source().
For eg:
Say you have func1 , func2 saved in myfunc.R.
To call them,
source('myfunc.R')
#other codes
func1()
func2()
As to whether this approach is recommended, depends on your project requirements.
Alternatively, you can consider packaging them as recommended by Richard.
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I have planned to start my R program carrier now. I have understand the usage R but i have some doubts on the procedure to be implement in R. As a startup i am planing to retrieve data from google analytics and show it to frontend using R shiny. So which will be the good flow to fetch the data. Is it good to fetch the google analytic data using R and process it or it will be good to fetch the data using other languages like php or Java. Also R is good to fetch the data from database or its a good practice to fetch the data using other commonly used languages and process using R.
Sorry the question is little bit descriptive but i am expecting a help from you guys
Thanks,
Organize it in a package(http://r-pkgs.had.co.nz/).
See https://developers.google.com/analytics/solutions/r-google-analytics?hl=en .
The database question depends on exactly what you are using, but R has a lot of resources.