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May 18, 2017

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Data visualization with t-SNE and UMAP


Recently, non-linear dimension-reduction and visualization algorithms, most notably t-Distributed Stochastic Neighbor Embedding (t-SNE) and uniform manifold approximation and projection (UMAP), have been widely applied to various research areas such as image processing, text mining, and genomics. This Add-in provides access to both t-SNE and UMAP R packages. It offers a user-friendly interface enabling data table navigation, data quality control, sparsity handling, intuitive parameterization, and interactive results interpretation.


Usage Example

Here is a screenshot of the interface with MNIST data loaded. Under Model Specifications, I selected the label column as Label and all the pixels as predictors. I chose both t-SNE and UMAP as the algorithms.




Another screenshot of the results of both t-SNE (top) and UMAP (bottom).




This add-in also supports some basic quality control options, including missing value checking, distribution, and sparsity calculation. You can find these options under Quality Control Options on the interface.


Updates: JMP R interface on Mac has versioning issues. Please downgrade your R to version <=3.3.3, and use t-sne only if you are a Mac user. 



v.1.2 <3/14/2019> Fixed an issue in Rtsne package where a large number of columns causing stack overflow problem.
v.1.1 <3/8/2019> Fixed a bug that could potentially produce “issues found in R, memory exhausted?” error message. Added a submenu for the MNIST example dataset.

v.1.0 <2/26/2019> Initial version.


Hi! MJ,
Can I understand that, in above photos, each mass/group of points can be treated as the same attribute? or different color points should be treated as different attribute?

Hi Mujahida,
The colors indicate true labels for this dataset, so data points with the same color should have similar attribute. The clusters were estimated by t-SNE and UMAP, you should see some color mismatches.

Hi MJ, 


I am getting an error message when I try this addin. It looks like it is not recognizing my installation of R. Would you be able to help figure out how to get your addin to recognize my R installation if that is indeed the issue?


I am including a screenshot showing that R is open but not being recognized, and a screenshot of my R install location (not program files) and also copying some of the error message below.


This looks like a very exciting tool and I am hoping to use it. I've previously found t-sne in R to be useful and it would be of great value to be able to do this right in JMP. Any help you might provide is greatly appreciated.




Screenshots of error and open R instance, then screenshot of R install location

t-sne addin not recognizing R install.pngr install location.png


Error code



An installation of R cannot be found on this system. JMP R support requires R version 2.9.1 or higher in access or evaluation of 'Glue' , write2lastRun( pb2, _addinPath_ );
algr = cbb << get selected();
Print( "Got algr!" );
dim1 = dimBx1 << get;
per1 = perBx1 << get;
iter1 = iterBx1 << get;
dim2 = dimBx2 << get;
per2 = perBx2 << get;
iter2 = iterBx2 << get;
dist = distbox << get;
Print( "Got parameters!" );
Try( predictor = selectedX << getitems );
If( Length( predictor ) < 1,
Throw( "Please specify Predictors" )
Try( labelY = selectedY << getitems );
If( N Items( labelY ) > 0,
labelY1 = labelY[1];
grphVars = Eval Insert( "X( :Y2 ), Y( :Y1 ), Color( :^labelY1^ ) " );
labelY1 = "";
grphVars = "X( :Y2 ), Y( :Y1 )";

***** Text Truncated *****"



Hi marxx,
Your problem was likely caused by multiple installations of R on your machine and JMP couldn't decide which one to use. Please try to set R_HOME as an environmental variable as following and try this add-in again. Open Window CMD console and type: setx R_HOME "This PC\Documents\R\R-3.5.2". And make sure Rtsne and umap packages are installed to this version of R. Please let me know if this solves your problem.
Also, we have a few threads on the community talking about this issue that you can check out.


Hello @MJ,

I tried running your sample data, but had a access violation crash. In the log file, it looks like the R-side ran successfully. Any ideas how I can address the issue?





Embedding - JMP window.jpgJMP error message.jpglog file.jpg


Hi @ngalphie, this looks like a problem with the older version of JMP.

1. I noticed that you are using JMP 13, it might be helpful if you can update it to the latest version (JMP 14.3) and try this add-in again.

2. Send the crash report saved at C:\Users\username\AppData\Local\Temp\JmpCrashReports\13 to me to tech support ( or me directly (, we can dig into it.

3. There are a few posts on the community also talking about this issue. You can take a look to see if there are anything they mentioning could help.


Thank you very much for providing an interface for JMP.


I wonder if these addins can include the R/Python executables so we can run them directly.




@FN Hey there, thank you for your suggestions. It would be a great option to include R/Python executables but due to our policies and legal concerns, I did not include them. Please let me know if you have any problems regarding R installations or versions when using this add-in. 



Thank you. To be honest, I am not sure what is the best way to install R. I am used to manage Python installations with conda/anaconda, which also includes R now.


This is the path where I have R installed.


(base) C:\Users\john_doe>where r


I guess I need to install these packages


To make JMP able to find my R installation, I exectue this (or change the PATH manually):

setx R_HOME "C:\Users\john_doe\AppData\Local\Continuum\miniconda3\Scripts\"


If there is a detailed guide on how to do this better, please let me know.




I managed to run umap but not via Anaconda/conda.


I think I am installing the wrong package for tsne. Can you provide the URL in cran?


Here is the step by step.


Intall R from

Install Rstudio commnutiy

Use Rstudio to install tsne and umap.




Hello, @FN, it looks like you installed a different version of t-sne package. Could you please try to install Rtsne through R studio instead? The github version for this package is here: Also please make sure your R_HOME path is pointing to the right R version with UMAP and Rtsne installed. Let me know if you have further questions.