TalGalili
Poll Shows Open Source Almost Even with Commercial Analytics Software
The Simple Gibbs example in Julia
Github Follower Graph (with R)
R’s increasing popularity. Should we care?
GitHub data analysis (graphs and data)
Will 2015 be the Beginning of the End for SAS and SPSS?
New Version of RStudio (v0.96) - one of THE leading IDE's for R
EU rules that computer languages cannot be copyrighted
The fastest Statistical Programming Language is …Javascript?
R, Julia and genome wide selection
Visualizing iOS Text Editors
Re:Speeding up R code using a just-in-time (JIT) compiler
on Wednesday April 11, 2012 @02:30AM (#3826248)
Thank you for the pointer vgnet, I didn't know about that project...
Speeding up R code using a just-in-time (JIT) compiler
Re:An R programmer looks at Julia
on Monday April 09, 2012 @04:41PM (#3819122)
Comparing Julia and R’s Vocabularies
Re:An R programmer looks at Julia
on Sunday April 08, 2012 @04:36PM (#3814835)
One thing is probably the huge number of statistical packages it has (see: http://cran.r-project.org/web/views/), including (static) graphics (e.g: ggplot2, lattice, and just the base graphics).
Re:An R programmer looks at Julia
on Sunday April 08, 2012 @04:34PM (#3814832)
Hi chubot,
Two things:
1) A data.frame is in fact a list of vectors of the same length "compacted" together.
2) I find the types very "sensible" for a person doing statistics. But I guess (almost) everything makes sense once you get used to it...
Re:An R programmer looks at Julia
on Sunday April 08, 2012 @03:33PM (#3814667)
Hi chimeracoder,
I am very curious to better understand how you find python better for the data pre-processing stage.
I use only R, and would love to know what "I am missing" here.
Any simple example will also make it easier to understand.
Thanks!