Reading and writing RData files

前面添加个lapply()或者dplyr::llply()就能读取，储存多个文件了。
http://bluemountaincapital.github.io/FSharpRProvider/reading-rdata.html

Reading and writing RData files

When using R, you can save and load data sets as *.rdata files. These can be easily exported and consumed using the R provider too, so if you want to perform part of your data acquisition, analysis and visualization using F# and another part using R, you can easily pass the data between F# and R as *.rdata files.

Passing data from R to F#

Let's say that you have some data in R and want to pass them to F#. To do that, you can use the save function in R. The following R snippet creates a simple *.rdata file containing a couple of symbols from the sample volcano data set:

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require(datasets) volcanoList <- unlist(as.list(volcano)) volcanoMean <- mean(volcanoList) symbols <- c("volcano", "volcanoList", "volcanoMean") save(list=symols, file="C:/data/sample.rdata")

To import the data on the F# side, you can use the RData type provider that is available in the RProvider namespace. It takes a static parameter specifying the path of the file (absolute or relative) and generates a type that exposes all the saved values as static members:

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open RProvider type Sample = RData<"data/sample.rdata"> let sample = Sample() // Easily access saved values sample.volcano sample.volcanoList sample.volcanoMean

When accessed, the type provider automatically converts the data from the R format to F# format. In the above example,volcanoList is imported as float[] and the volcanoMean value is a singleton array. (The provider does not detect that this is a singleton, so you can get the value using sample.volcanoMean.[0]). For the sample.volcano value, the R provider does not have a default conversion and so it is exposed as SymbolicExpression.

When you have a number of *.rdata files containing data in the same format, you can pick one of them as a sample (which will be used to determine the fields of the type) and then pass the file name to the constructor of the generated type to load it. For example, if we had files data/sample_1.rdata to data/sample_10.rdata, we could read them as:

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let means = [ for i in 1 .. 10 -> let data = Sample(sprintf "data/sample_%d.rdata" i) data.volcanoMean.[0] ]

Note that the default conversions available depend on the plugins that are currently available. For example, when you install the enrie FsLab package with the Deedle library, the RData provider will automatically expose data frames as DeedleFrame<string, string> values.

Passing data from F# to R

If you perform data acquisition in F# and then want to pass the data to R, you can use the standard R functions for saving the*.rdata files. The easiest option is to call the R.assign function to define named values in the R environment and then useR.save to save the environment to a file:

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// Calculate sum of square differences let avg = sample.volcanoList |> Array.average let sqrs = sample.volcanoList |> Array.map (fun v -> pown (v - avg) 2) // Save the squares to an RData file R.assign("volcanoDiffs", sqrs) R.save(list=[ "volcanoDiffs" ], file="C:/temp/volcano.rdata")

It is recommended to use the list parameter of the save function to specify the names of the symbols that should be saved, rather than saving all symbols. The R provider uses additional temporary symbols and so the saved file would otherwise contain unnecessary fileds.

Once you save the file using the above command, you can re-load it again using the RData type provider, such as: new RData<"C:/temp/volcano.rdata">().