OriginLab Corporation - Data Analysis and Graphing Software - 2D graphs, 3D graphs, Contour Plots, Statistical Charts, Data Exploration, Statistics, Curve Fitting, Signal Processing, and Peak Analysis     
Skip Navigation Links
All BooksExpand All Books
LabTalk ProgrammingExpand LabTalk Programming
LabTalk Scripting GuideExpand LabTalk Scripting Guide
Running R in OriginExpand Running R in Origin

2.16 Running R in Origin

There are a couple of ways to interact with R from Origin.

  • Using the R Console and the Rserve Console. These tools allow Origin users to issue R commands within the Origin environment and transfer data between the two applications either using a dialog interface, or by using commands. For examples, see Data Analysis in Origin with R Console.
  • Using the LabTalk objects R and RS (RServe) . The R and RS LabTalk objects can execute R commands and pass variables and datasets between Origin and R.

To make use of the R object and R Console, you need to have R installed locally. To use the RS object and the Rserve Console, you will need to have the R packages installed on the server side, and communicate to the server computer with Origin on the client side.

  • For information on obtaining and installing R locally, see this topic.
  • For information on setting up an R server, see this topic.

Minimum Origin Version Required: 2016 SR0

Execute R Command in Script Window

We can use LabTalk objects R and RS to execute R commands and pass variables between LabTalk and R. The examples below work for both R and RServe (replace "R" with "RS").

Initialize R or RS

Before running R command in Labtalk, you can initialize the R application by running:

if( R.Init()<0 )
		type -b "Please install R software first.";

in the Script Window.

To initialize the RS object, please refer to Script below, and view this page for parameters setting.

if(RS.Init(***.***.**.**, 12306, user, password)<0)  // Address is Rserve PC IP, e.g:
		type -b "Initialize failed.";

Execute R and RS command

Execute R command

R.Exec(rand<-sample(x = 1:6, size = 50, replace = TRUE));

and perform analysis:


The summary could be shown in this way:

Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
1.00    2.00    3.50    3.56    5.00    6.00

Execute Multiple R Command Lines

R.Exec("array<-1:25;dim(array)<-c(5,5);array") // Run multiple R command lines separated by semicolon

Execute RS command

string fname$ = system.path.program$ + "Samples\Curve Fitting\Sensor01.dat";
range r1 = 1:2;
//send data from worksheet to R vector
RS.Send(%(r1), RR, 2);  //send the range to R data.frame
RS.Exec(fit<-lm(RR$Sensor.Output~RR$Displacement));  //perform linear fit

Execute R/RS command example

In addition, a practical example is introduced in this page Perform Logistic regression in R by using LabTalk.

Execute .R file

If you want to execute a *.R file in your computer, you can use the syntax below in Script Window:

R.Exec(source(".R file path"));

For example:


Send Origin Dataset to R Console

//Active a workbook
R.Send("1!1", arr1, 0); // Send Column 1 in Sheet 1 current workbook to R as variable ''array'' (type vector)
range rx=1; // Use range notation rx to refer to column 1 in active worksheet
R.Send(%(rx), rlabel, 0); // Send column 1 to R as variable rlabel (type vector)
// Suppose the values of first columns are: 1, 2, 3, --
range rr = 1; // Refer to first column in active worksheet
R.Send(%(rr), temp, 0); // Send first column as R variable temp

Receive R Variable as Origin Dataset

R.Receive("1!1",RMat,1) // Receive R Matrix Variable RMat to first matrix object in current matrixbook and first matrix sheet
R.Receive("1!1",df$vec1,0); //Receive data member 'vec1' in R data frame 'df' to column as a vector
//Suppose there is a logical vector temp with value [1] FALSE FALSE TRUE
range rl=1;
R.Receive(%(rl),temp,0); // Column 1 in active sheet would be 0,0,1 instead

Pass Variables between Labtalk and R

R and RS objects have four member functions: GetReal, SetReal, GetStr, and SetStr which are used to pass numeric and string variables between Labtalk and R, for example:

You define numeric or string variable in R Serve Console,


You can pass value to LabTalk variable in this way:

R.GetReal(LTVar, RVar)
R.GetStr(LTStr$, RStr)
//pass a real number in a R list 'e1' to a Labtalk variable

Or you define a numeric or string variable in LabTalk, you can pass the value to R variable in this way:

R.SetReal(LTVar, RVar)
R.SetStr(LTStr$, RStr)

Utilizing R Console or Rserve Console

We can use the R Console (or Rserve Console ) to run R commands directly in the dialog input box, then, pass the resulting values into an Origin worksheet using buttons << and >>. Data can be exchanged in multiple formats (vector, matrix, data.frame) between R and Origin worksheet (or matrix sheet) by using R console (or Rserve Console).
The following graph shows how to generate random data with a binomial distribution and pass it to an Origin worksheet.

R Send Data.png

© OriginLab Corporation. All rights reserved.