In [1]:

    

open RProvider
open RProvider.``base``
open RProvider.graphics
open RProvider.grDevices

let widgets =   [3;8;12;15;19;18;18;20]
let sprockets = [5;4;6;7;12;9;5;6]

R.plot(widgets,sprockets)


    

In [5]:

    

open RProvider.utils
open Deedle
open RDotNet
open RProvider
open RProvider.``base``
open RProvider.datasets
open RProvider.neuralnet
open RProvider.caret
open RProvider.graphics

// Load data from R to Deedle frame
let iris : Frame<int, string> = R.iris.GetValue()
 
// Observe iris data set
let features =
    iris
    |> Frame.filterCols (fun c _ -> c <> "Species")
    |> Frame.mapColValues (fun c -> c.As<double>())
let targets =
    R.as_factor(iris.Columns.["Species"].As<int>())
 
R.featurePlot(x = features, y = targets, plot = "pairs")


    

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