[R] anti-R vitriol
Matthias.Templ at statistik.gv.at
Wed Jun 30 09:34:49 CEST 2004
I wonder, why SAS should be better in time for reading a data in the system.
I have an example, that shows that R is (sometimes?, always?) faster.
Data with 14432 observations and 120 variables.
Time for reading the data:
real time 1.46 seconds
cpu time 0.18 seconds
 0.63 0.06 6.22 NA NA
And this is 2.5 times faster as SAS.
(SAS reads the .sas7bdat and R the .txt file)
I´m working with SAS (I should working with SAS) and R (I'm going to work with R) on the same Computer. In my examples about time series and in something simple but also time consuming procedures like summaries,... R is always 2 times faster and sometimes 30 times faster (with the same results).
I think R is a great software and you can do more things as in SAS.
Some new developments in SAS 9, like COM-server to Excel, some new procedures, better graphs, ... is developed and implemented in R for many years ago.
Thanks to the R Development Team!!!
> -----Ursprüngliche Nachricht-----
> Von: Liaw, Andy [mailto:andy_liaw at merck.com]
> Gesendet: Dienstag, 29. Juni 2004 20:21
> An: 'Barry Rowlingson'; R-help
> Betreff: RE: [R] anti-R vitriol
> > From: Barry Rowlingson
> > A colleague is receiving some data from another person. That person
> > reads the data in SAS and it takes 30s and uses 64k RAM.
> That person
> > then tries to read the data in R and it takes 10 minutes and uses a
> > gigabyte of RAM. Person then goes on to say:
> > It's not that I think SAS is such great software,
> > it's not. But I really hate badly designed
> > software. R is designed by committee. Worse,
> > it's designed by a committee of statisticians.
> > They tend to confuse numerical analysis with
> > computer science and don't have any idea about
> > software development at all. The result is R.
> > I do hope [your colleague] won't have to waste time doing
> > [this analysis] in an outdated and poorly designed piece
> > of software like R.
> > Would any of the "committee" like to respond to this? Or
> > shall we just
> > slap our collective forehead and wonder how someone could get
> > such a view?
> > Barry
> My $0.02:
> R, being a flexible programming language, has an amazing
> ability to cope with people's laziness/ignorance/inelegance,
> but it comes at a (sometimes
> hefty) price. While there is no specifics on the situation
> leading to the person's comments, here's one (not as extreme)
> example that I happen to come across today:
> > system.time(spam <- read.table("data_dmc2003_train.txt",
> + header=T,
> + colClasses=c(rep("numeric", 833),
> + "character")))
>  15.92 0.09 16.80 NA NA
> > system.time(spam <- read.table("data_dmc2003_train.txt", header=T))
>  187.29 0.60 200.19 NA NA
> My SAS ability is rather serverely limited, but AFAIK, one
> needs to specify _all_ variables to be read into a dataset in
> order to read in the data in SAS. If one has that
> information, R can be very efficient as well. Without that
> information, one gets nothing in SAS, or just let R does the
> hard work.
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