[R] Building and scoring multiple models with dplyr functions

Hello All, I have a question regarding building multiple models and then scoring new data with these models. I have been tasked with converting existing SAS modeling code into equivalent R code, but unfortunately I rarely use R so I'm in unfamiliar territory. I've think I've found a good way to

Re: [R] kmeans() compared to PROC FASTCLUS

-up during the iterations. At least that's my take on it, does anyone see anything wrong with line of reasoning? Andy On Fri, Dec 3, 2010 at 10:15 AM, Georg Ruß resea...@georgruss.de wrote: On 02/12/10 17:49:37, Andrew Agrimson wrote: I've been comparing results from kmeans() in R to PROC

[R] kmeans() compared to PROC FASTCLUS

Hello all, I've been comparing results from kmeans() in R to PROC FASTCLUS in SAS and I'm getting drastically different results with a real life data set. Even with a simulated data set starting with the same seeds with very well seperated clusters the resulting cluster means are still different.