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dennis
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The 07/11/2017
Good afternoon, your sample illuatration is great.
I just follow your step to test on my sample but got the following errors. My sample is also text file. Any idea? thank you.
> m <- as.matrix(dtm)
Error in vector(typeof(x$v), prod(nr, nc)) :
vector size specified is too large

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Visitor
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The 02/10/2017
Thank you for sharing

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The 14/09/2017
Hello from Chile:

This site is extremely valuable. It contains a lot of details abut procedures in R. It contains good explanations and it's very easy to understand. In fact, I have a question, is there a posibility that take all this site, and put it into a book, not just specific books that you have, but all material published here. It's very, very important. I will be the firt buyer, I'm sure!

Pablo Caceres

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The 21/08/2017
Very helpful guide for using the xlsx package.

R.H.

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The 14/04/2017
Just found your site and loved:

http://www.sthda.com/english/wiki/elegant-correlation-table-using-xtable-r-package

I've always wanted to crank out pretty half corr tables. Now I can. Thank you!!!!

... and then I noticed you have books! In grad school (1989) I used Lee Wilkinson (now VP stats at Tableau)'s SYSTAT/SYGRAPH and worked every example in the manual. That is where I learned cluster. I will buy your cluster book soon. But was wondering if it includes model based cluster analysis, the stuff Adrian Rafferty at UW is doing? http://www.stat.washington.edu/raftery/Research/mbc.html

The only reason I found Rafferty's stuff was that I had a client (Frontier Airlines) that wanted data-based clustering. So I started searching and was delighted to find model based clustering. I don't know if it is crap or gold, yet. But thought you might be someone to talk to about this!

Best Regards! Bill Meade

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The 03/03/2017
This site is my hero..
Million thanks for the developer!!

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The 17/11/2016
My field is functional genomics, and i have found this site just recently. This is an absolutely terrific resource for cluster analysis using R. Great way to get some insights into ggplot2 (too).

Thank you very much!
Sergey Kalachikov
Columbia University @ NYC

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The 17/11/2016
Love this site, amazing resource for ggplot2 and statistics

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The 18/10/2016
I've been using R to perform survival analysis for several years now and discovered the survminer package a couple of days ago via the blog "R-addict". It is by far the best package around for producing beautiful, customised, high-quality plots of survival curves.

On top of that, the level of user support and speed of responses provided by the package's author, Alboukadel Kassambra, have been absolutely superlative. I queried the possibility of building in several new features and these were generously implemented within 24 hours of my request. Unbelievable!

Keep up the fantastic work!
Berin (Sydney, Australia)