At last Friday’s Cologne R user group meeting we welcomed two Northerners from the left and right (or ‘right’ and ‘wrong’) side of the Rhine.
Using R in Excel via R.NETGünter Faes and Matthias Spix
Günter and Michael presented examples of a new R Excel plugin ‘Calidris‘ they developed using R.net. The plugin itself is written in C# and adds an R ribbon to Excel with pre-build functions.
In its current form the add-in is a proof of concept. It demonstrates in principal that functions based on R can be added to Excel. The version Günter and Michael demonstrated doesn’t have a reactive functionality yet, i.e. updating a cell will not update the output of an R function automatically at the moment. Feel free to get in touch with them if you would like to know more about their project. You find their contact details on the last slide of their presentation.
Text Mining with RCornelius Puschmann
Cornelius gave an engaging high-level overview on text mining with R, covering:
- From natural language processing (NLP) to text mining
- Building corpora
- Latent semantic analysis (LSA)
- Topic models/Latent Dirichlet allocation (LDA)
- Sentiment analysis
- Misc useful packages
A nice and illustrative example Cornelius presented at the end of his talk was the package
genderby Linclon Mullen that uses historical US census data to predict the gender of people based on their first name. I have several colleagues with the name of ‘Leslie’ or ‘Lesley’. Thanks to
genderI know now that my male colleagues are more likely to be spelled ‘Leslie’ than ‘Lesley’ and that a person with either name is more likely to be female.
library(gender) L1 <- gender("Leslie") L2 <- gender("Lesley") cbind(L1, L2) L1 L2 name "Leslie" "Lesley" proportion_male 0.2222 0.0995 proportion_female 0.7778 0.9005 gender "female" "female" year_min 1932 1932 year_max 2012 2012
Drinks and NetworkingNo Cologne R user group meeting would be complete without drinks and schnitzel at the Lux.
|Photo: Günter Faes|