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Editorial Team
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Asked: 2026-05-17T16:42:45+00:00

I am working on a project where I have a lot of analysts creating

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I am working on a project where I have a lot of analysts creating statistical models in R. They usually provide me with the model objects (.Rdata files) and I automate executing them for various datasets.

My problem is:

  • Can I use a database and save these .RData files there ? Any hints on doing this? ( I currently store the .Rdata files to disk and use a database to store location information)

  • I get a lot of R scripts from other analysts who have done some pre-processing of data before they create the models. Does anyone have experience using PMML to make this process repeatable without manual intervention ? PMML stores the pre-processing steps, modeling steps as markup tags, and would repeat the same on a new dataset.

Thank you for the suggestions and feedback.

-Harsh

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1 Answer

  1. Editorial Team

    Yes, this is possible using eg MySQL linked to R with the RMySQL and DBI package, or via the RODBC or RJDBC package. I’m not 100% sure if they all support blobs, but worst case scenario you could use the ascii representation and put them in a text field.

    The trick is using the function serialize()

    > x <- rnorm(100)
> y <- 5*x+4+rnorm(100,0,0.3)
> tt <- lm(y~x)
> obj <- serialize(tt,NULL,ascii=T)

    Now you can store or retrieve obj in a database. It’s actually no more than a vector of ascii (or binary) codes. ascii=F gives you a binary representation. After retrieving it, you use :

    > unserialize(obj)
Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
      4.033        4.992

    Edit : regarding the pmml, there’s a pmml package on CRAN. Maybe that one gets you somewhere?

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