opencpu

问题 Firstly, I appreciate there are many good reasons NOT to do this, but for interest, my question is: is there a recommended (or tolerated) method to persist information from an http request to the R session which is running the server? As an example, a trigger in an external system fires an http request on update, which contains basic information (time of update). What is the best way to make that (now-updated) time variable available in R? As an example below, I tried using the ..\identity

问题 I am new to opencpu and I am trying this : Create a script to load dataframe in memory (on server of course) Give a method to query this dataframe through GET api. Can this be done for a large dataframe to keep it loaded once? And can this be done without writing a R package (which is the only way I have found so far to access R scripts through opencpu) 来源： https://stackoverflow.com/questions/26025430/is-there-a-way-to-run-a-script-through-opencpu-without-creating-a-package

问题 I am working with opencpu. I installed the opencpu as a single user mode. When the session is expired the link is down and sometimes the port number is changing dynamically. I would like the port to be constant during every run even the current session is expired. 回答1: You can set the port when you start the single user server: library(opencpu) opencpu$stop() opencpu$start(1234) This will start opencpu on port 1234. I recommend you try the cloud server, which always runs on port 80 (http) and

问题 I have an existing Javascript/HTML Application. I wanted to use power of R Programming 's scientific computing and graphics. My aim is to, Send some data from Javascript app. Call predefined R functions with the data input. Get the output get the output in the form of both text and graphics. Display it in the HTML page. How to achieve this, Should I run R continuously, use something like web sockets and connect to R? If doing How to pass R scripts to execute and get the output pack? There is

问题 I have an existing Javascript/HTML Application. I wanted to use power of R Programming 's scientific computing and graphics. My aim is to, Send some data from Javascript app. Call predefined R functions with the data input. Get the output get the output in the form of both text and graphics. Display it in the HTML page. How to achieve this, Should I run R continuously, use something like web sockets and connect to R? If doing How to pass R scripts to execute and get the output pack? There is

问题 I would like to provide a web tool that requires access to a large dataset. Preferentially, this R data object should be loaded into memory once and then be available for user-defined queries. Does the openCPU framework support persistant data objects in any way or does every query begin with a blank slate? 回答1: The OpenCPU API is stateless, there is no way to keep a process alive in between requests. But you can easily solve your problem by putting your dataset into a package, and installing

问题 I would like to provide a web tool that requires access to a large dataset. Preferentially, this R data object should be loaded into memory once and then be available for user-defined queries. Does the openCPU framework support persistant data objects in any way or does every query begin with a blank slate? 回答1: The OpenCPU API is stateless, there is no way to keep a process alive in between requests. But you can easily solve your problem by putting your dataset into a package, and installing

问题 CI have written an R package for OpenCPU and want to use it on my own Cloud server. I cannot access any functions even though the package itself is recognized and can be updated, and I can access other (non-custom, e.g. base or stats) packages normally via POST and GET. I have installed the custom package together with all dependencies to /usr/local/lib/R/site-library and I can use the functions from within an R session locally on the server. > TestConnectivity function (x = 100) { return(sum

问题 I wrote an R package and now I want to provide let's say a small demo fronted as a webapplication. For this I already wrote a index.html file which I saved to the <pkgRoot>/inst/www/ folder. I also installed the opencpu package which works fine wehen I use it via the localhost:<portNum>/ocpu/test/ "Interface", where I already can see my Package and use the Ajax POST and GET requests in order to see the package is doing what it's ment to do. But now im stuck in a sense that I do not know how

问题 I have an R code which loads the RandomForest model, I am looking to create a function which load(model) randomforest_func = function(data) { data$pred = predict(model,data,type="prob") output = data.frame(data$customerid,data$pred[,2]) return(output) } I need to make this function enabled in webserver, where an external application feeds data and retrieves the output. The problem is, the model needs to be preloaded and cannot load into R env for each request. The function needs to support