dear R wizards: `optimize()` requires the user to provide the
brackets. I can write a bracketing routine, given a function and a
starting point, but I was wondering whether there was already a
"standard" user-exposed implementation. (Presumably, this is used in
nlm, too; alas, nlm is in C, not n
gards, /iaw
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within(d, z <- sin(x+y))
quartz()
contourplot( z ~ x * y, data = d)
am I committing an error, or is there something more robust or at
least verbose, perhaps?
help appreciated. /iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
_
n interactive mode
regards, /iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
J. Fred Weston Professor of Finance
Anderson School at UCLA, C519
Director, UCLA Anderson Fink Center for Finance and Investments
Free Finance Textbook, http://book.ivo-welch.info/
Editor, Cr
e probably looking at adjacent points,
pretending that they are linear, and mark where a line between them
intercepts the level, and then hope that some sanity prevents me from
connecting disconnected levels. not my plan...]
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-
I would like to put together a set of my collected utility functions and
share them internally. (I don't think they are of any broader interest.)
To do this, I still want to follow good practice. I am particularly
confused about writing docs.
* for documentation, how do I refer to '@'-type docum
Dear R wizards:
I decided to take the advice in the R data import/export manual and
want to learn how to work with SQL for large data sets. I am trying
SQLite with the DBI and RSQLite database interfaces. Speed is nice.
Alas, I am struggling to find a tutorial that is geared for the kind
of stan
Dear R wizards: First, thanks for the notes on SQL. These pointers
will make it a lot easier to deal with large data sets. Sorry to
have a second short query the same day. I have been staring at this
for a while, but I cannot figure out how to do a dependent ranking the
R-sh way.
ds= data.fra
thank you everybody, again. regards, /iaw
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Sorry, chaps. I need one more:
> dbDisconnect(con.in)
Error in sqliteCloseConnection(conn, ...) :
RS-DBI driver: (close the pending result sets before closing this connection)
>
I am pretty sure I have fetched everything there is to be fetched. I
am not sure what I need to do to say goodbye (
dear R experts---is it possible to ask R to abort with an error
instead of just giving a warning when I am mis-assigning vectors (or
other data structures) that are not compatible? that is, I would like
1: In matrix(value, n, p) ... :
data length [12] is not a sub-multiple or multiple of the nu
stumped again by SQL... If I have a table named "main" in an SQLite
data base, how do I get the names of all its columns? (I have a mysql
book that claims the SHOW command does this sort of thing, but it does
not seem to work on SQLite.)
regards, /iaw
PS: Thanks for the earlier emails on "warn
wow! the answer seems to be "pragma table_info(main);" thanks, Gabor.
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dear R wizards---I am not sure at what point I owe pennance for asking
so many questions. I am now wrangling debugging. I want to write a
function
assert = function( condition, ... ) {
if (!condition) {
cat(...); cat("\n");
browser();
}
stopifnot(condition);
}
assert( nrow(ds)==12,
please ignore part 1. of course, the cat works. my mistake. I just
need to learn how to step up frames, please.
regards,
/iaw
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e dimensions actually are.
this is not hard to find out by hand, but it would still be useful.
regards,
/iaw
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a "standard recommended" rather than just a "boutique" version?)
sincerely, /iaw
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under the command line version,
which I presume is still 32-bit, and the 64 bit GUI.
PPS: how do I learn which version of R is running?
regards, /iaw
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thanks, everyone. I was a bit confused.
I now think that the "car" error was because the package on the cran website
itself was built under 2.9.2, not because I had an old version lying around,
which my package continued to use instead of a newer version that I would
just have installed.
I was a
mmary(lm())? can someone
tell me the "fastest" way to generate b and se(b)?
is there anything else that comes to mind as a recommended way to speed this
up in R, short of writing everything in C?
as always, advice highly appreciated.
/iaw
--
Ivo Welch (ivo.we...@brown.edu, ivo.
is possible to ask "by" to attach an attribute to
the data frame that stores the number of observations that it is actually
passing.
pointers appreciated.
regards,
/iaw
--
Ivo Welch (ivo.we...@brown.edu, ivo.we...@gmail.com)
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hi david---no, this time I actually know what I was asking ( ;-) ). I do
need speed computed on many data sets, each of which is created by a "by"
statement. so, no iterative programming on my side.
thanks, hadley for the pointer to .row_names_info() in lieu of dim() or
nrows(). I don't seem t
e.
> One note: if you're worried about speed, it almost always makes sense to
use matrices rather than dataframes. If you've got mixed types this is
tedious and error-prone (each type needs to be in a separate matrix), but if
your data is all numeric, it's very simple, and will
I will probably rely on a mixed R/perl system here. This is
not desirable, but it is the only way I know how to do this. if something
like multisystem() already exists in R native, please let me know and save
me from reinventing the wheel. if it does not, some perl/R combo for this
soon will.
regards
dear R experts---quick question. I need to estimate a model that looks like
y = (b*T+d*T^3) + (1-b-3*d*T^2)*x + (3*d*T)*x^2 + (-d)*x^3
I only have three parameters. Is nls() the right tool for the job, or is
there something faster/better?
/iaw
Ivo Welch (ivo.we...@brown.edu, ivo.we
dear R experts---quick question. I need to estimate a model that looks like
y = (b*T+d*T^3) + (1-b-3*d*T^2)*x + (3*d*T)*x^2 + (-d)*x^3
I only have three parameters. Is nls() the right tool for the job, or is
there something faster/better?
/iaw
Ivo Welch (ivo.we...@brown.edu, ivo.we
I apologize in advance for a more statistical question. I am trying
to find out whether a transformation of two random variables X and Y (
z= g(X,Y) ) exists whose expected value is E(X)/E(Y). obviously, it
ain't E(X/Y). is there a book or place where I could learn this?
(Also, I would be intere
Dear R experts:
I just tried some simple test that told me that hand computing the OLS
coefficients is about 3-10 times as fast as using the built-in lm()
function. (code included below.) Most of the time, I do not care,
because I like the convenience, and I presume some of the time goes
into s
thanks, dimitris. I also added Bill Dunlap's "solve(qr(x),y)"
function as ols5. here is what I get in terms of speed on a Mac Pro:
ols1 6.779 3.591 10.37 0 0
ols2 0.515 0.21 0.725 0 0
ols3 0.576 0.403 0.971 0 0
ols4 1.143 1.251 2.395 0 0
ols5 0.683 0.565 1.248 0 0
so the naive matrix operation
dear R experts:
I am trying to install packages in OSX, R 2.8.1. Since I do this
about every 2 years, I have completely forgotten it. However, this
should not be difficult:
http://wiki.r-project.org/rwiki/doku.php?id=getting-started:installation:packages
nice document. beautiful method.
I have been playing with more examples, and I now know that with
larger NF's my example code actually produces a result, instead of a
singular matrix error. interestingly, stata's xtabond2 command seems
ok with these sorts of data sets. either R has more stringent
requirements, or stata is too ca
Dear Experts---Sorry, I need some help again. I need a very fast
estimator for small sample time-series in which the autocoefficient
can be anything between 0 and 2 (i.e., even beyond the unit-root). I
think this means that I will need to run OLS. Of course, this means
that I will run into the H
dear R experts:
does R have "static" variables that are local to functions? I know
that they are usually better avoided (although they are better than
globals).
However, I would like to have a function print how often it was
invoked when it is invoked, or at least print its name only once to
STD
compute (X'
X)^(-1) s^2 myself. Has someone written a fast se() function?
incidentally, I think this would make a nice addition to the R base. I
presume it is not uncommon for a statistician also to want to use the se of
coef estimates.
pointers appreciated.
regards,
/iaw
Iv
tions, 'lm.fit' for plain, and
'lm.wfit' for weighted regression fitting." ADD: These can be
orders of magnitude faster.
thank you, everyone.
regards,
/iaw
Ivo Welch (ivo.we...@brown.edu, ivo.we...@gmail.com)
On Fri, Jan 8, 2010 at 9:08 AM, Dirk Eddelbue
"wide"), and the shape seems
to be what I want, but the columns come out in random order
(sim1.1980, then sim1.2001, then sim1.1977) and so on. I would like
years to go from left to right, too. Is there an easy way to
accomplish this?
sincerely,
/iaw
Ivo Welch (iv
see also", I would add library(reshape). finally, it would be nice
if an email would be on each R help (in R documentation) to make
suggestions for improvements.
regards,
/iaw
Ivo Welch (ivo.we...@brown.edu, ivo.we...@gmail.com)
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if I understand correctly, R makes a copy of the full environment for each
process. thus, even if I have 32 processors, if I only have 64GB of RAM
and my R process holds about 10GB, I should probably not spawn 32 processes.
has anyone written a function that sets the number of cores for use (in
m
ugghhh---apologies. although in 2020, it would be nice if the mailing
list had an automatic html filter (or even bouncer!)
I am using macos. alas, my experiments suggest that `mclapply()` on a
32-core intel system with 64GB of RAM, where the input data frame is
8GB and the output is about 500MB
no, I'm not. mostly conventional use afaik. if this should not be
happening, I can trace it down to a small reproducible example to
figure it out.
--
Ivo Welch (ivo.we...@ucla.edu)
--
Ivo Welch (ivo.we...@ucla.edu)
http://www.ivo-welch.info/
J. Fred Weston Distinguished Professor of Fi
reference?
I may be blanking here---maybe the answer is obvious.)
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
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thx, jim. makes perfect sense now.
I guess a logical in R has a few million possible values ;-).
(Joke. I realize that 4 bytes is to keep the code convenient and faster.)
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
On Mon, Jul 15, 2013 at 4:26 PM, jim holtman wrote:
> I can g
below. best to be ignored.
/iaw
Ivo Welch (ivo.we...@gmail.com)
--- the as75.R file, at least as of july 2013
### see end of file for documentation
debug <- 0
if (debug) cat(rep("\n",10)) ## visual separation
dyn.load("Ras75.so") # created with R CMD SH
avoid losing the column name. I wonder why such vectors don't
keep a name attribute of some sort.
there is probably an "R way" of doing this. is there?
/iaw
Ivo Welch (ivo.we...@gmail.com)
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for (nm in c("x")) print(fama.macbeth( y ~ d[[nm]], din=d ))
or whatever.
the output in both cases should be the same, preferably even knowing
that the name of the variable is really "x" and not nm. is there a
standard common way to do this?
regards,
/iaw
Ivo W
py the globalenv, run my code, see what objects have been changed (how?),
move the changed and new functions into my a environment, and then restore
globalenv. or is this already done somewhere else?
/iaw
----
Ivo Welch (ivo.we...@gmail.com)
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duh!
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
J. Fred Weston Professor of Finance
Anderson School at UCLA, C519
Director, UCLA Anderson Fink Center for Finance and Investments
Free Finance Textbook, http://book.ivo-welch.info/
Editor, Critical Finance Review, http
ive of z(), function x is not an enclosing environment.
do I write a while loop to look back, or is there a standard R function
that searches all calling environments until it finds one that works?
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
#x27;s version of "by" is mclapply( split(
ds, factor ), FUN )
I don't know the poor man's version of "ave".
sincerely, /iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
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ded to the docs for mclapply?
/iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
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t BS has to parse an '...' argument, but there could be a
couple of magical R functions that might make this easier than I would
do it with my planned clunky version. what's the elegant version?
/iaw
Ivo Welch (ivo.we...@gmail.com)
hi david---can you give just a little more of an example? the
function should work with call by order, call by name, and data frame
whose columns are the names. /iaw
Ivo Welch (ivo.we...@gmail.com)
On Mon, Jan 7, 2013 at 4:25 PM, David Winsemius wrote:
>
> On Jan 7, 2013, at 3
t 8:00 AM, David Winsemius wrote:
>
> On Jan 7, 2013, at 6:58 PM, ivo welch wrote:
>
>> hi david---can you give just a little more of an example? the
>> function should work with call by order, call by name, and data frame
>> whose columns are the names. /iaw
>>
e a way to add a TaskCallback only when a
user resizes the window?
help appreciated...
/iaw
Ivo Welch (ivo.we...@gmail.com)
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n all default autovivification off in my
program, but that's not possible.)
/iaw
Ivo Welch (ivo.we...@gmail.com)
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contemplating the core logic of
lm() extensions is distracting at the first baby steps. similarly,
rstudio is a really nice IDE, but I don't think that roxygen2 and
devtools need rstudio.
could someone point me to a simpler "starting" document for roxygen2
and devtools, if such exis
actually, I may have found what I was looking for in
https://github.com/hadley/devtools/wiki/Philosophy
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Ivo Welch (ivo.we...@gmail.com)
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eight than .Rd and more heavyweight than
just '#' comments.
/iaw
Ivo Welch (ivo.we...@gmail.com)
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is it possible to throw a stop() that is so hard that it will escape
even tryCatch?
/iaw
Ivo Welch (ivo.we...@gmail.com)
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ev.off; and/or if pdfFonts could take an optional
.pfbdir that embedFonts would search. but this is pretty painless
already as is, esp to how it was 5 years ago. thanks to all the folks
that put in the hard work to make this possible.
[PS: The abov
a", class(d), "with
names", names(d)), but I also want to be define %or% so that I can
write
(is.data.frame(d)) %or% "d is a ::class(d):: with names ::names(d)::" ;
operators don't take variable arguments afaik. :-(.
advice
"column a1 is not numeric"
}
I also find it useful to have an optional length argument for
is.numeric or is.character, which requires the argument to be of
length x, but this is another story.
/iaw
On Fri, Feb 8, 2013 at 4:01 PM, ivo welch wrote:
> dear R experts---I am try
atex and R?
I could live with rolling my own IF ONLY my ide/editor would
understand my new format. I do not have the skills to tell emacs how
to switch syntax-highlighting in the middle of files.
this collective path-dependence will plague us for decades, having
created a cost
* lagseries:52:: Need more observations than 1*
## [b] evaluate every {{ }} construct and insert output into the string
## [c] abort
"%or%" <- function (e1, e2) {
if (!e1) { if (is.character(e2)) abort.estring(e2) else eval(e2) }
}
I do not know whether it is possible to bu
m greatly indebted to you, Uwe, and a
couple of others to have helped me out many times to solve problems I have
run into. without r-help, I would have given up on it.
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
On Tue, Feb 26, 2013 at 6:35 AM, Uwe Ligges wrot
as only one change---the
optional argument. this is not hard to do, but I now run the risk that the
R team could change by(). I wish I could at least test whether the by()
function changes from release to release to alert me, but functions are not
atomic and therefore cannot be compared.
what
curiosity question: I was wondering whether the R binaries and BLAS
libraries for ubuntu linux are compiled using SSE4 and AVX support.
this probably can go a long way towards a unified memory bus GPGPU
substitute.
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info
there a better way to do this? there
is a non-centrality parameter ncp in rt, but one parameter ncp cannot
subsume two (m and s), of course. my first attempt was to draw
rt(..., df=2.63)*s+m, but this was obviously not it.
advice appreciated.
/iaw
Ivo Welch (ivo.we...@gmail.com)
http
actually, I had it right all along. that is,
m<- runif(); s<- runif(); df<-runif()*10+1 # get some
parameters...any parameters
x <- rt( 10, df )*s + m # create random draws
library(MASS)
fitdistr(x, "t") # confirm properties
will work. (josh suggested working with the skewness parameter,
el related" for lm; and
another categorization for importance (e.g., like "common" for lm and
"obscure" for ..). Such categorizations require intelligence.
if I am going to do this for myself, I think a csv spreadsheet may be a
good idea to make it easy to resort by keys.
es seems like a
good idea. git and control is overkill here.
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
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ipt in
perl and self-parse the .Rd files that are strewn around my hard drive, or
whether there is an idiomatic R way...
best,
/iaw
Ivo Welch (ivo.we...@gmail.com)
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https
ess=TRUE, data=d, method="probit" ))
print(pp)
cat(" (main) now we do the pseudo R^2\n")
print(pR2(pp))
cat(" ok\n")
summarize(d)
Error in eval(expr, envir, enclos) : object 'p' not found.
Ivo Welch (ivo.we...@gmail.
my own title"
plot(ee)
alas, I cannot figure out how to get rid of the title altogether.
attr(ee,"call") <- NULL gives me two quotation marks ("") . is it
possible to remove the title altogether?
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
_
ooops...never mind. I mixed up "title" and "main" as options.
Ivo Welch (ivo.we...@gmail.com)
On Wed, May 8, 2013 at 1:54 PM, Steve Lianoglou
wrote:
> Hi Ivo,
>
> On Wed, May 8, 2013 at 1:37 PM, ivo welch wrote:
>> dear R-experts---first, a sugges
# the standard errors
}
if (!is.null(lm.hook)) lm.hook() ## has access to everything that
lm() has already computed
Ivo Welch (ivo.we...@gmail.com)
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PLEAS
I ended up wrapping my own new "ols()" function in the end. it is my
replacement for lm() and summary.lm. this way, I don't need to alter
internals. in case someone else needs it, it is included. of course,
feel free to ignore.
docs[["ols"]] <- c(Rd= '
@TITLE ols.R
@AUTHOR ivo.we...@gmail.com
you get what
you pay for.
more generally, I am still wondering why we have an lm and a
summary.lm function, rather than just one function and one resulting
object for parsimony, given that the summary.lm function is fast and
does not increase the object size.
Ivo Welch (ivo.we...@gmail.com)
dear R experts---how do I determine what summary(polr( y ~ x )) calls?
it is not summary.lm(polr(y~x)) or summary.mlm or summary.glm, or
stats:::summary.lm or ... in fact, none of the summary methods
seem to invoke what summary invokes.
advice, as always, appreciated.
regards,
/iaw
Ivo
norm(N)*10))
print(head(pairs)) ## works
p <- polr( y ~ x , method="probit", data=pairs)
print(summary(p))
pairs is saved as a name. eventually, summary.polr thinks it is the
pair function, not the pair data frame.
/iaw
Ivo Welch (ivo.we...@gmail.com)
On Mon, May 13, 2013
gs, or does it handle this line by line as it goes?
(if it does the former, I can write a perl pre-filter)
/iaw
Ivo Welch (ivo.we...@gmail.com)
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an do to drastically speed up
R on intel i7 by going to FP32?
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
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##.#. Live Go...
> Live: OO#.. Dead: OO#.. Playing
> Research Engineer (Solar/BatteriesO.O#. #.O#. with
> /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
> --------
rors of coefficients.
before I get started on this, I just wanted to inquire whether someone
has already written such a function.
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
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o updating
models, not observations. even if it did, given the speed of lm(), I
don't think it will be that useful.
regards,
/iaw
Ivo Welch (ivo.we...@gmail.com)
On Mon, May 27, 2013 at 9:26 AM, Bert Gunter wrote:
> Ivo:
>
> 1. You should not be fitting linear models as you des
Gentlemans as 274 algorithm allows weights, so adding an obs with a weight
of -1 would do the trick of removing obs, too.
This may be a good job for hadwell wickhams c code interface.
On May 27, 2013 12:47 PM, "Berend Hasselman" wrote:
>
> On 27-05-2013, at 17:12, ivo welch w
I read Hadley's excellent Rcpp tutorial at
https://github.com/hadley/devtools/wiki/Rcpp. Alas, there is one part
that is missing---how do I maintain a memory region between calls?
Here is a stylized example of what I mean:
extern "C" {
#include
#include
}
#include
class silly {
double *v; i
ss, and
make sure that the processes don't step on one another. (why did R
not use a dot after "mc" for parallel lapply?) presumably, to keep it
simple, mcfilter.csv would keep a counter of read chunks and block
write chinks until the next sequential chunk in order arrives.
just a sug
that a
built-in R filter function could provide.
Ivo Welch (ivo.we...@gmail.com)
On Tue, Jun 4, 2013 at 2:56 PM, Greg Snow <538...@gmail.com> wrote:
> Some possibilities using existing tools.
>
> If you create a file connection and open it before reading from it (or
> wr
useful only for big files anyway.
is it possible to block write.csv across multiple threads in mclapply? or
hook a single-thread function into the mclapply collector?
/iaw
On Wed, Jun 5, 2013 at 5:06 AM, Duncan Murdoch wrote:
> On 13-06-05 12:08 AM, ivo welch wrote:
>
>> thx, greg.
ly has no decompression
penalty and becomes close to native fast reading of .gz data. chances
are this is because it has .gz support baked in. gzfile does not help
with read.csv, however.
/iaw
Ivo Welch (ivo.we...@gmail.com)
On Mon, Jun 10, 2013 at 10:09 AM, ivo welch wrote:
>> Sur
] ~ d[,2]) ) ## calculate two coefficients and return
them
}
results <- mclapply( 1:1, run )
stumped over something that should be easy...pointer appreciated.
/iaw
Ivo Welch (ivo.we...@gmail.com)
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ved a gazillion
times.
could someone please point me to some simple textbook = howto treatments of
this problem and/or R packages that implement this? feel free to point out
your own work...this way I can cite it.
regards,
/iaw
----
Ivo Welch (ivo.we...@gmail.com)
[[alternative HTML version de
thanks, mark. these are excellent starting pointers. I will get to them
asap. I hope I won't need to bother you more.
regards,
/iaw
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listi
Dear R group:
I just bought a Haswell i7-4770k machine, so I went through the
trouble of creating a small website with some comparative benchmarks.
I also made it easy for others to contribute benchmarks. if you are
interested, it's all at http://R.ivo-welch.info/ . enjoy.
/iaw
----
Ivo
large data sets. I saw some
specific solutions on stackoverflow, a couple requiring even less
parsimonious user code. is everyone using bigmemory? or SQL? or ...
? I am leaning towards the SSD solution. am I overlooking some
simpler recommended solution?
/iaw
Ivo Welch (ivo.we...@gmai
I am personally happy to live with R for its power despite
its drawbacks; but IMHO it is just too much to ask from a set of bewildered
novice master students.
I hope the R team will at some point in the future pick up on making the
core language less mysterious upon setting an option, at least in &q
does anyone have a kaveri based system with R recompiled to use its GPU?
is this even possible today?
regards, /iaw
PS: I am trying to collect benchmarks
http://r.ivo-welch.info/
Ivo Welch (ivo.we...@gmail.com)
[[alternative HTML version deleted
e non-vectorized version.
/iaw
On Thu, Nov 8, 2012 at 9:53 AM, R. Michael Weylandt
wrote:
> On Thu, Nov 8, 2012 at 3:05 PM, ivo welch wrote:
>> dear R experts--- I have (many) unidimensional root problems. think
>>
>> loc.of.root <- uniroot( f= function(x,a) log( exp(
I am struggling with a contour plot. I want to place a cross over the
minimum. alas, I don't seem to be able to map axes appropriately.
here is what I mean:
N <- 1000
rm <- rnorm(N, mean=0.0, sd=0.4)
rx <- rnorm(N, mean=0.0, sd=0.4)
rt <- rnorm(N, mean=0.0, sd=0.4)
exploss <- function(hdgM,hdg
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