Notices tagged with rstats, page 43

Where to find the worst weather in the US https://link.rweekly.org/dgr #rstats #datascience

The ggforce Awakens (again) https://link.rweekly.org/dgd #rstats #datascience

Performance tweaks are more often bug sources than fixes.
-- Duncan Murdoch (on Martin Maechler's optimistic plan of porting performance improvements from R's development version to R x.y.z (z >= 1) patch releases)
R-core (June 2016) #Rstats

RInside 0.2.15 https://link.rweekly.org/dg9 #rstats #datascience

Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Software Engineers https://link.rweekly.org/dg7 #rstats #datascience

Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Engineers https://link.rweekly.org/dg7 #rstats #datascience

memory problems (not me. my pc!)
-- Sara Mouro (subject line for an R-help request)
R-help (January 2008) #Rstats

I think [R] addresses a niche market for high-end data analysts that want free, readily available code. [...] We have customers who build engines for aircraft. I am happy they are not using freeware when I get on a jet.
-- Anne H. Milley (director of technology product marketing at SAS, quoted in Ashlee Vance's article "Data Analysts Captivated by R's Power")
The New York Times (January 2009) #Rstats

Head’s Up! Roll Your Own HTTP Headers Investigations with the ‘hdrs’ Package https://link.rweekly.org/deq #rstats #datascience

You say yourself it wasn't reproducible. So it could have been anything that "crashed" your R, cosmic radiation, a bolt of lightning reversing a bit in your computer memory, ... :-)
-- Martin Maechler (replying to a bug report)
R-devel (July 2005) #Rstats

I think [R] addresses a niche market for high-end data analysts that want free, readily available code. [...] We have customers who build engines for aircraft. I am happy they are not using freeware when I get on a jet.
-- Anne H. Milley (director of technology product marketing at SAS, quoted in Ashlee Vance's article "Data Analysts Captivated by R's Power")
The New York Times (January 2009) #Rstats

It is a mistake to assume that everything is known about even the common approximations used in statistical practice, and this area is still opening up.
-- Bill Venables (in a discussion about how fitted generalized linear mixed models can be compared)
R-help (April 2005) #Rstats

R Weekly 2019-09 Lego, group_split https://link.rweekly.org/de0 #rstats #datascience

Spencer Graves: What do you think about adding a "No RTFM" policy to the R mailing lists?
Michael Dewey: You raise an interesting point but the responses to your post remind us that people (and indeed whole cultures) are not all situated at the same point on the continuum of directness between "It's a cow, stupid" and "From this side it looks not unlike a cow".
-- Spencer Graves and Michael Dewey (reply after a long discussion of a potential "No RTFM" policy)
R-help (August 2010) #Rstats

CRAN Mirror “Security” https://link.rweekly.org/ddu #rstats #datascience

Uwe Ligges: Please stop sending unsensible bug reports! Those have to be handled manually in the bug repository!
Barry Rowlingson: Really? They seem to be being handled automatically and frighteningly well by the Uwe-bot at the moment. Congratulations, you've passed the Turing Test.
-- Uwe Ligges and Barry Rowlingson (after several nonsensical mails to R-bugs)
R-devel (July 2004) #Rstats

Gregor Gorjanc: But imagine how hard would it be to have two separate modes ... argh, probably a mess^2 or have I missed something obvious.
Martin Maechler: Yes, exactly: "Mess ^ 2" -- and if you allow both 'drop' and 'na.rm' options, it's "Mess ^ 3" -- not something anyone really wants!
-- Gregor Gorjanc and Martin Maechler (in a discussion whether 'drop' should be set in options(), possibly depending on different user vs. programmer modes)
R-devel (September 2006) #Rstats

rquery Substitution https://link.rweekly.org/dc1 #rstats #datascience

R may be the wrong tool for the job, but it's the wrong job.
-- Rolf Turner (about solving 100th degree polynomials)
R-help (May 2008) #Rstats

How the Victorians Mapped London’s Cholera https://link.rweekly.org/dbu #rstats #datascience