Notices tagged with rstats, page 167

xfun Miscellaneous Functions by 'Yihui Xie' https://link.rweekly.org/8eh #rstats #datascience

ECoL Complexity Measures for Classification Problems https://link.rweekly.org/8ee #rstats #datascience

R is a complex program. If you can't work out how to find the documentation, I doubt you will be able to use R.
-- David Kirby (in response to a vague question on where to find documentation for R)
R-help (February 2010) #Rstats

Oh, gosh, this is getting whimsical.
R, I surmise, is a mutable tool that enables the user to do what they want. Knapped flint for the Stone Age statistical fool, plasma arc for the expert and learned savant.
R is a friend to all manner of men. The perfect companion, the servant complete. It gently informeth the clueless and then, reveals the essence unto the esthete.
-- Jim Lemon (in a discussion about the usability of R)
R-help (May 2006) #Rstats

In general, it's much easier to create output from a R object than create an R object from output.
-- Hadley Wickham
R-help (December 2009) #Rstats

You need to get the hang of reading the online help. The information required is actually there in ?dotchart --- it's just tersely and obscurely expressed. A certain degree of optimism is required. You need to ***believe*** that the information is there; then ask yourself "What could they possibly mean by what they have written that would tell me what I need to know?".
-- Rolf Turner (on reading the help pages)
R-help (June 2013) #Rstats

This is like asking, "My car doesn't work. Can anyone tell me what is wrong?"
-- Jeff Newmiller (in response to the generic question why "some packages do not work" in R 3.2.5)
R-help (June 2016) #Rstats

If 'fools rush in where angels fear to tread', then Bayesians 'jump' in where frequentists fear to 'step'.
-- Charles C. Berry (about Bayesian model selection as an alternative to stepwise regression)
R-help (November 2009) #Rstats

This is one of those cases, in my opinion, where R's documentation drops you into a flat landscape, in the middle of nowhere, in a thick mist.
-- Ted Harding (helping a user confused about R's partial matching behavior)
R-help (November 2010) #Rstats

If we do that, I predict that the total amount of r-help time wasted on it will exceed the CPU time saved by orders of magnitude.
-- Duncan Murdoch (after a specialized function speeding up detection of NAs was suggested for base R)
R-devel (April 2006) #Rstats

What's in a #Mastodon name...
#Rstats
https://mastodon.cloud/media/xTSSBpbswGe61ux-H7k

#Mastodon Top Level Domains
#Rstats
https://mastodon.cloud/media/jesju_A7VPKYuUId0cg

#Mastodon instances and users
#Rstats
https://mastodon.cloud/media/NTcSc9rIuonDxPqWWKY

There's probably some examples, but there are some examples of people using
solve(t(X) %*% W %*% X) %*% W %*% Y
to compute regression coefficients, too.
-- Thomas Lumley (discussing usefulness of evaluation order in lapply)
R-help (March 2006) #Rstats

Your example requires all choices of 1541 out of 3000, which I would expect to take somewhere near age-of-the-universe seconds to compute. The code uses a clever nested computation due to Gail et al which will cut that time down to infinity/10.
-- Terry Therneau (on an example with exact computations in coxph)
R-help (June 2016) #Rstats

Seldom are prizes, credit, and gratitude given, else Brian would be drowning in them.
-- Anthony Rossini (about the merits of implementing software)
R-help (May 2004) #Rstats

Bad English is the language of science.
-- Jan de Leeuw
JSS mailing list (February 2005) #Rstats

I think that it's generally a good idea not to resist the most natural way of programming in R.
-- John Fox
R-help (March 2004) #Rstats

I think, therefore I R.
-- William B. King (in his R tutorials)
http://ww2.coastal.edu/kingw/statistics/R-tutorials/ (July 2010) #Rstats