similar to: Strange formatting

I am faced with a situation wherein I have to use multiple lapply's. The pseudo-code could be approximated to something as below: For each X from i=1 to n For each Y based on j=1 to m For each F from 1 to f Do some calculation based on Fij Store Xi,Yj = Fij End For F End for Y End for X Is there anyway to optimize the processing logic further? I *guess* using the multiple lapply

Hello. I have the following distance matrix between 8 points: [1,] 0.000000 3.162278 7.280110 8.544004 7.071068 9.899495 6.403124 8.062258 [2,] 3.162278 0.000000 5.000000 6.403124 4.472136 8.944272 6.082763 8.062258 [3,] 7.280110 5.000000 0.000000 1.414214 1.000000 5.000000 4.242641 5.830952 [4,] 8.544004 6.403124 1.414214 0.000000 2.236068 4.123106 4.472136 5.656854 [5,] 7.071068 4.472136

Hello, I am working with a matrix of multilocus genotypes for ~180 individual snail samples, with substantial missing data. I am trying to calculate the pairwise genetic distance between individuals using the stats package 'dist' function, using euclidean distance. I took a subset of this dataset (3 samples x 3 loci) to test how euclidean distance is calculated: 3x3 subset used

Hello all, I'm having trouble creating an adjacency matrix. Basically, I need to turn the following distance matrix into an adjacency matrix based on whether values are >1.5 or not. If they are >1.5, then the returned value should be 0. If they are =<1.5, then the returned value should be 1. DistanceMatrix: A B C D E [1,]

Hello all, I am brand new to R and doing an exercise for a class. I need to find the nearest neighbour for points in the following matrix: > DistanceMatrix x1 x2 x3 x4 x5 [1,] 0.000000 2.828427 1.581139 2.236068 2.000000 [2,] 2.828427 0.000000 1.581139 4.123106 2.000000 [3,] 1.581139 1.581139 0.000000 2.549510 2.121320 [4,] 2.236068 4.123106 2.549510

Does anyone know of a way of dealing with unbalanced mixed effects (fixed and random factors) for fully factorial designs. An example of such data is given below; The response variable is SQRTRECRUITS SEASON is a random factor DENSITY is a fixed factor Thus DENSITY:SEASON is a fixed factor. Therefore, whereas the effects of SEASON and DENSITY:SEASON should be tested against the overall

Hi R folks, I have a massive array (object name "points") in the following form [,1] [,2] [1,] 1369 22 [2,] 1370 22 [3,] 1368 23 [4,] 1369 23 [5,] 1370 23 [6,] 1371 23 (10080 rows truncated) These represent pixel coordinates of interest in a jpeg image. I need to find the distance from each point to all other points of interest. The only way I can see to do this

Hi all, I found an unexpected behavior when I was trying to use the macro defined in "R_ext/Itermacros.h" to loop over an atomic vector. Here is a minimum example: C++ code ``` #include "R_ext/Itermacros.h" #define GET_REGION_BUFSIZE 2 //Redefine the macro since C++ is not happy with the implicit type conversion #define ITERATE_BY_REGION_PARTIAL(sx, px, idx, nb, etype,

I tested your fix (newhidups -DDD /dev/null) using both and APC Back-UPS 350 an APC Smart-UPS RT 2000 XL. No more segmentation fault due to the fixed-size array. ~Jacob -----Original Message----- From: nut-upsdev-bounces@lists.alioth.debian.org [mailto:nut-upsdev-bounces@lists.alioth.debian.org] On Behalf Of Peter Selinger Sent: Monday, October 16, 2006 12:12 PM To: Schmier, Jacob Cc: NUT

This took a long time because I had problems with my system. After I reloaded my operating system several times I found I had a bad memory module. Here is the output from newhidups for my Geek Squad GS1285U. It just kept repeating until I hit ctl-z. I think that this means nut will work for this ups. My computer is not powered by the ups yet. I did not want it to be powered down by accident.

On 10/25/19 11:01 AM, Tomas Kalibera wrote: > On 10/23/19 6:45 AM, Wang Jiefei wrote: >> Hi all, >> >> I found an unexpected behavior when I was trying to use the macro >> defined >> in "R_ext/Itermacros.h"? to loop over an atomic vector. Here is a >> minimum >> example: >> >> C++ code >> ``` >> #include

Hi All, I have the following problem (read the commented bit below): a<-matrix(1:9,nrow=3) a [,1] [,2] [,3] [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 div<-1:3 apply(a,2,function(x)x/div) ##want to divide each column by div- instead each row is divided## [,1] [,2] [,3] [1,] 1 4.0 7 [2,] 1 2.5 4 [3,] 1 2.0 3

I'm running wine 1.4, compiled myself (to ensure --with-xinput2) on Arch. I have tried all combinations of MouseWarpOverride and "automatically capture mouse in fullscreen windows" and can't alleviate this problem. Once in a while, everything's fine (360 degrees rotation, smooth mouse action), but eventually (or most of the time, as soon as I start the game), the screen

In the manual page for prcomp(), it says that sdev is "the standard deviations of the principal components (i.e., the square roots of the eigenvalues of the covariance/correlation matrix, though the calculation is actually done with the singular values of the data matrix)." ?However, this is not what I'm finding. ?The values appear to be the standard deviations of a reprojection of

Hi, On 26-11-15 09:42, Samuel Pitoiset wrote: > Well, if you remove that assert locally, all compute tests in src/gallium/tests/trivial/compute.c pass on GK106, except the atomic ones. Do you mean the: Assertion `pres->target != PIPE_BUFFER' failed. or the: Assertion `tex->defExists(0) && tex->srcExists(0)' failed. assert? Or is the first one not present for

Hi, On 20-11-15 17:07, Samuel Pitoiset wrote: > > > On 11/20/2015 11:36 AM, Hans de Goede wrote: >> Hi Samual, et al, > > Hi Hans, > >> >> In >> http://cgit.freedesktop.org/mesa/mesa/commit/src/gallium/drivers/nouveau?id=ff72440b40211326eda118232fabd53965410afd >> >> you write: "This compute support has been tested by >> Pierre

This is very minor, but shouldn't log2(quote(1:10)) throw an error,the same as log() and other math functions do? It looks like log2 and log10 evaluate a call object instead of throwing a non-numeric-argument error. They do object to non-call language objects, like expressions. > log2(quote(1:10)) [1] 0.000000 1.000000 1.584963 2.000000 2.321928 2.584963 [7] 2.807355 3.000000

Hi, thx for the reply. Unfortunately that is not a simplified version of the problem. You have a function, call it and get the result (numeric in, numeric out in that case). For simplicity lets use the "return" case: ## foobar<-function(x) { return(sqrt(x)) }(2) ## which is a function (numeric in, numeric out) which is defined, then gets called and the return value is a function

It's been a while since I tried to use NUT, so I thought I would give it another try. Big trouble. The UPS is a Tripp-Lite AVR 550U. It has only a USB connector. The computer is running Red Hat Enterprise Linux 4. I just installed NUT version 2.2.0. I'm going through the steps in the INSTALL document. # cat ups.conf [igor] driver = usbhid-ups port = auto

Hi- I need to subset the following data by the column 'dal' for values that equal the regular interval seq(0, 150, by=0.5) exactly.... ....excluding rows with irregular 'dal' values such as c(2.888958, 2.891620), etc. data<-data.frame(id=id, dal=dal, date=date, mu.x=mu.x) $dal [1] 0.000000 0.500000 1.000000 1.500000 2.000000 2.500000 2.888958 2.891620 3.000000 3.245405