SAS
* better manuals.
* tech support for most universities contracted into the price, thus
for researchers.
* batch orientation. if you have to handle data sets that are as large
as your memory, SAS generally does it better. It seems to be an
n-pass design. Years ago, when memory was
hi: could someone please point me to a function that allows me to
solve general non-linear functions?
irr.in - function(r, c1, c2, c3 ) { return(c1+c2/(1+r) +
c3/(1+r)^2); }
solve.nonlinear( irr.in, -100, 60, 70 );
0.189
If someone has written an irr function, this would be helpful,
Dear R Wizards: Running R 1.9.1. on amd64.
Promise- c(0,20,40); Expect- c(0, 20, 0.2*20+.8*40 );
# this omits printing numbers on the axes labels.
pdf(file = bug.pdf );
plot(Promise, Expect, type=b, ylim=c(0,60));
dev.off();
# this works
postscript(file = bug.eps );
plot(Promise, Expect, type=b,
Hi: Thank you everyone. You were all correct. This turns out to be a
viewer bug---and even more likely a viewer installation bug, not an
xpdf bug, much less an R bug. Apologies for having wasted everyone's
time.
Regards, /ivo
---
ivo welch
__
dear R community: i have been looking but failed to find the
following: is there a function in R that updates a plain OLS lm()
model with one additional observation, so that I can write a function
that computes recursive residuals *quickly*?
PS: (I looked at package strucchange, but if I am
dear wizards: my .Rprofile has just one command for testing,
loadhistory(~/.Rhistory)
but this gives me an error on R startup:
Error: couldn't find function loadhistory
Invoking loadhistory() as the first interactive command works fine;
incidentally, I believe loadhistory() in the .Rprofile
is anyone writing an R cookbook (ala the perl cookbook)? this would be
more for programming and graphics task than a statistics textbook.
This seems more like a manufacturing defect than a random occurrance.
if not, if I can fit it into my schedule, I may start one slowly on my
website
dear R wizards: I would like to write a function that roughly places
the equivalent of the following latex text into the current plot:
\newcommand{ \placesigma }[4]{ \put(\#1,\#2){ \sigma_{A , #3} = #4 }
I cannot figure out how to do this. I know I have to use a function
that uses
thanks everyone. all solutions were better than what I had, and
simple.
R is an interesting experience. Extremely powerful and awe-inspiring
for its elegance; things work like I would never have believed how
elegantly they work. The IQ in the subsetting alone is superbly
clever. And
dear R wizzards: two options() related questions.
[a] options(na.action): many of my variables have missing variables,
so I would like to set a default to ignore, especially in univariate
functions like mean() and median() . alas, without na.rm=T in the
functions themselves, I always get an
10 matches
Mail list logo