Displaying 20 results from an estimated 1000 matches similar to: "Map an Area to another"
2011 Jan 26
0
Fwd: MAtrix addressing
Begin forwarded message:
> From: David Winsemius <dwinsemius at comcast.net>
> Date: January 26, 2011 8:32:30 AM EST
> To: Alaios <alaios at yahoo.com>
> Subject: Re: [R] MAtrix addressing
>
>
> On Jan 26, 2011, at 7:58 AM, Alaios wrote:
>
>> Unfortunately right now is convoluted... by I was trying to find
>> some solution.
>> Bring again
2010 May 29
0
plotting density in same plot in loop iteration
Hi R-mailing list
I would have the following set-up below with a simplified data-frame.
Through a loop which includes certain criteria for the densities I would
like to plot the different density-distributions in the same plot. Of
course I hope I don't do any mistakes with all the indexes of the
dataframe.
All I would like to have is the different densities in the same plot
with a general
2016 Aug 04
1
findInterval(all.inside=TRUE) for degenerate 'vec' arguments
What should findInterval(x,vec,all.inside=TRUE) return when length(vec)<=1,
so there are no inside intervals?
R-3.3.0 gives a decreasing map of x->output when length(vec)==1 and -1's
when length(vec)==0. Would '0' in all those cases be better?
> findInterval(x=c(10, 11, 12), vec=11, all.inside=TRUE,
rightmost.closed=FALSE, left.open=FALSE)
[1] 1 0 0
>
2024 Sep 17
1
findInterval
>>>>> Gabor Grothendieck
>>>>> on Mon, 16 Sep 2024 11:21:55 -0400 writes:
> Suppose we have `dat` shown below and we want to find the the `y` value
> corresponding to the last value in `x` equal to the corresponding component
> of `seek` and we wish to return an output the same length as `seek` using
> `findInterval` to perform the
2003 Sep 08
2
How do I coerce numeric factor columns of data frame to vector?
I have just noticed that quite a few columns of a data frame that I am
working on are numeric factors. For summary() purposes I want them to be
vectors. I tried, for example
> indx <- c(1:18,21:37,40,41)
> i <- 0
> i <- i+1
> summary(as.vector(sflows1[indx[i]]))
Length Class Mode
min.pkt.sz 3000 factor numeric
but this does not give the five-number
2020 Mar 06
0
findInterval Documentation Suggestion
>>>>> brodie gaslam via R-devel
>>>>> on Thu, 5 Mar 2020 22:18:33 +0000 (UTC) writes:
> I've found over time that R documentation that comes off as terse at
> first blush is usually revealed to be precise, concise, and complete
> on close reading.? I'm sure this is also true of `?findInterval`, but
> for whatever reason my
2020 Mar 05
3
findInterval Documentation Suggestion
I've found over time that R documentation that comes off as terse at
first blush is usually revealed to be precise, concise, and complete
on close reading.? I'm sure this is also true of `?findInterval`, but
for whatever reason my brain simply refuses to extract meaning from it.
Part of the problem may be that we interact with the function via a
compressed form of the bounds of the
2010 Nov 19
0
Ggplot and irregular timeseries
Hello there,
Could anybody please help on how to correctly use ggplot when
printing irregural time series, by irregural here I mean for example
the absence of some dates in the whole timespan of a dataset. To be
more precise in the following example I generated some random data
which spans the whole November up to now and dropped weekend days but
for some reasons ggplot continues to plot the
2011 Dec 06
1
help wrapping findInterval into a function
Dear R Community,
I hope you might be able to assist with a small problem creating a function.
I am working with water-quality data sets that contain the concentration of
many different elements in water samples. I need to assign quality-control
flags to values that fall into various concentration ranges. Rather than a
web of nested if statements, I am employing the findInterval function to
2011 Apr 06
5
Need a more efficient way to implement this type of logic in R
I have cobbled together the following logic. It works but is very
slow. I'm sure that there must be a better r-specific way to implement
this kind of thing, but have been unable to find/understand one. Any
help would be appreciated.
hh.sub <- households[c("HOUSEID","HHFAMINC")]
for (indx in 1:length(hh.sub$HOUSEID)) {
if ((hh.sub$HHFAMINC[indx] == '01')
2003 Jun 15
1
Samba on A SGI Indy Cyclone IRIX system???
Hi there:
We have recently inherited a circa 1996 SGI Indy Colorbus Cyclone running on
Irix.
Our intention is to use this unit to drive our Canon CLC900 Scanner Copier
and make it accessible to our Windows Network.
At the moment, our Windows Network does not "see" the Cyclone & vice versa.
I have read that installing some kind of Windows Samba client onto our
windows
2024 Sep 16
1
findInterval
Suppose we have `dat` shown below and we want to find the the `y` value
corresponding to the last value in `x` equal to the corresponding component
of `seek` and we wish to return an output the same length as `seek` using
`findInterval` to perform the search. This returns the correct result:
dat <- data.frame(x = c(2, 2, 3, 4, 4, 4),
y = c(37, 12, 19, 30, 6, 15),
seek = 1:6)
2019 Jul 26
2
Doing weird bouncing of IAX trunk calls on purpose
Ok, so this might seem weird, but hang with me on this. I have two sites, Indy and Lafayette that each have their own Asterisk server. They each have their own outside PRI line. They are also trunked internally via and IAX tunnel over a private fiber line.
I've recently been asked to have the calls incoming to Indy, forwarded to a group in Lafayette (only during the day, so can't be
2002 Sep 01
2
rsync error: unexplained error
I believe I have found the cause of the unexplained error (code ??) at main.c(line #). In the version I'm running 2.5.2 (obtained from the Free Software Foundation) the line number is 576. It appears the root cause is related to a race condition associated with the termination of child processes.
If the signal handler for SIGCHILD is executed, as the result of a child termination, before the
2006 May 26
2
combinatorial programming problem
Hola!
I am programming a class (S3) "symarray" for
storing the results of functions symmetric in its
k arguments. Intended use is for association indices
for more than two variables, for instance coresistivity
against antibiotics.
There is one programming problem I haven't solved, making an inverse
of the index function indx() --- se code below. It could for instance
return the
2012 Mar 09
1
index values of one matrix to another of a different size
> Hello,
>
> Is this the fastest way to use indices from one matrix to reference rows
> in another smaller matrix? I am dealing with very big data (lots of columns
> and I have to do this lots of times).
>
> ######sample data ##############
> vals = matrix(LETTERS[1:9], nrow=3,ncol=3)
> colnames(vals) = c('col1','col2','col3')
> rownames(vals)
2010 Sep 08
0
Correction to vec-subset speed patch
I found a bug in one of the fourteen speed patches I posted, namely in
patch-vec-subset. I've fixed this (I now see one does need to
duplicate index vectors sometimes, though one can avoid it most of the
time). I also split this patch in two, since it really has two
different and independent parts. The patch-vec-subset patch now has
only some straightforward (locally-checkable) speedups for
2010 Feb 22
1
shash in unique.c
Looking at shash in unique.c, from R-2.10.1 I'm wondering if it makes sense
to hash the pointer itself rather than the string it points to?
In other words could the SEXP pointer be cast to unsigned int and the usual
scatter be called on that as if it were integer?
shash would look like a slightly modified version of ihash like this :
static int shash(SEXP x, int indx, HashData *d)
{
2005 Sep 01
1
More block diagonal matrix construction code
Folks:
In answer to a query, Andy Liaw recently submitted some code to construct a
block diagonal matrix. For what seemed a fairly straightforward task, the
code seemed a little "overweight" to me (that's an American stock analyst's
term, btw), so I came up with a slightly cleaner version (with help from
Andy):
bdiag<-function(...){
mlist<-list(...)
## handle case in
2007 Apr 25
2
[LLVMdev] Work in progress patch to speed up andersen's implementation
Hi guys, i'm not going to have time to work on this for a month or
two, so i figured i'd post it.
This patch
1. reworks the andersen's implementation to support field sensitivity
(though field-sensitive constraints are not generated directly yet),
and uses it to do indirect function call support.
2. Rewrites the solver to be state of the art in terms of speed.
kimwitu++ used to take