similar to: averaging X of specific Y (latitude)

Hello I have a table describing butterfly range traits. It is composed of three columns as below Species name range size (X) latitude of range midpoint (Y) There are 11 kinds of butterflies. Each has its range size, and the latitude of each range midpoint ranges from 9 to 19. I would like to have the average range size of every degree of latitude. For example, the average range

for months, we keep fighting issues with smbd (now at released 2.2.6), config is with spoolss, domain logon, and the client in question is an NT4 machine. server is a i386/linux 2.2.19 For a very long time, we thought it was related to oplocks, but now after having them disabled, it still is there. Level 3 Log is as follows: [2002/10/22 17:08:18, 3] smbd/ipc.c:reply_trans(480) trans

Dear List, Some independent variable were missing in calculation using lm and glm (gaussian). (X= Y1+Y2+…..+Y16, Independent number: 16 variable) However, those variables did work well in cor(X, Y) respectively. str(dataframe) was also run to ensure that the variables were all numbers. Moreover, the missing variables were different in lm and glm. In lm, 3 factors were not taken into

Dear List, I tried to do cca based on species data and environmental variables (formula instead of community data). However, there was an error saying row sums must be >0. I searched the previous related messages but found few solutions. Please kindly help and thank you in advance. code This is vegan 1.17-3 Warning message: package 'vegan' was built under R version 2.10.1

In mdct.c there's some functions including some-point butterfly. In 32-point and 16-point there are calling of smaller-point function everytime twice on each half of data. When I looked on it I found that's just linear algebra. So it can be rewritten to matrix multiplication. Some one can say: there's optimization on in register working. But imagine there's one calling 32-point,

Hello, I am using package MuMIn to calculate AIC for a full model with 10 explanatory variables. Thanks in advance in sharing your experience. Q1 In the AIC list of all models, each model is differentiated by model number. Please kindly advise if it is possible to find the corresponding explanatory variable(s) for the model number. Q2 error message I tried to display sub-model with only

In R, I'm imported a data frame of 2,321,123 by 4 called "dataF". I converted the data frame "dataF" to a matrix dataM <- as.matrix(dataF) Does R have an efficient routine to treat the special elements that contain "inf" in them. For example, can you separate the rows that have "inf" elements from the matrix into a separate matrix without

Hi all, I am trying to do a generalized estimating equation (GEE) with the "geepack" package and I am not 100% sure what exactly the "id" argument means. It seems to be an important argument because results differ considerably defining different clusters. I have a data set of counts (poisson distribution): numbers of butterfly species counted every month during a period of

Hello One of my packages, untb_1.3-2, passes R CMD check under MacOSX (and apparently the systems used in the package check summary page on CRAN) but fails with the following message on R-2.6.0.tgz compiled last night on my (home) linux box. I hasten to add that I have never seen this error before on home-compiled pre-releases of R-2.6.0. Can anyone help me understand what is going on?

Hi, My question is: if I want to recompile and reinstall a newer version of R under linux, must I remove the old binaries previously installed ? If yes where are located them? Thanks! Andrea. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

libvorbis does not currently have any simd/vectorization. Following patches add generic framework for simd/vectorization and on top, add ARM-NEON simd vectorization using intrinsics. I was able to get over 34% performance improvement on my Beaglebone Black which is single Cortex-A8 based CPU. You can find more information on metrics and procedure I used to measure at

Hi, I'm trying to save heatmaps as PDFs. However, the PDF version of the heatmaps (Heatmap_CAFvsTNF_run2.pdf) is blurred when compared to its counterpart, which was saved manually by using the software "Grab" (Heatmap_CAFvsTNF_run2.tiff). -----R code-------- sample_output <- "stroma_run2" filename <-

On Thu, Dec 14, 2017 at 1:58 PM, Berend Hasselman <bhh at xs4all.nl> wrote: > >> On 14 Dec 2017, at 19:36, lily li <chocold12 at gmail.com> wrote: >> >> Hi R users, >> >> I have a question about reading from text files. The file has the structure >> below: >> >> Time Column1 Column2 >>

Hi - How can I add different notes in different panels? My data looks like ID Dose Visit Value 1 1 0 0.5 -6.5802e-02 2 1 0 1.0 2.4085e-01 3 1 0 1.5 -2.2907e-01 4 1 0 2.0 2.4074e-01 ... ... ... ... ... 270 45 30 3.0 -8.1316e-01 271 46 30 0.5 -2.0786e-01 272 46 30 1.0 -2.9336e-01 273 46 30 1.5 -5.5657e-01 274 46 30 2.0 -2.1659e-01

Among others, datam contains the columns: logconc, tm, dose, subj, bilirubin. None of these are factor variables. The following compartment models work (the first still has not converged after 100 interations): res1 <- nlme(logconc~p2+p3+log(dose/(exp(p1)-exp(p2))* (exp(-exp(p2)*tm)-exp(-exp(p1)*tm))),start=list(fixed=c(5,-2,-0.1)), fixed=list(p1+p2+p3~1),control=list(maxIter=100),

I want to get path profiling information with LLVM. LLVM provides methods for path profiling.I also get the llvmprof.out successfully. So I want to output the result.With llvm-prof ,I get the error:llvm-prof: Unkknown packet #5. So I have to write my own pass to output the path profiling result,the following is my kernel codes:

I took function mdct_butterfly_8 and write out transformation matrix. Then I rewrote this matrix into sequence of additions and substractions (see attachement). As I suspected I got the same as in the original code but I swaped some rows to get little higher speed. I hope I'll do the same with 16 point butterfly function combined with 8 point butterflies in a month. Who still believe that this

Hello I have a problem on keeping the format when I export a matrix file with the write.table() function. When I import the data volcano from rgl package it looks like this in R: > data[1:5,] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 100 100 101 101 101 101 101 100 100 100 101 101 102 102 [2,] 101 101 102 102 102 102 102

I use the method, df$Time = as.POSIXct(df$Time), but it has the warning message: Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format On Thu, Dec 14, 2017 at 1:31 PM, MacQueen, Don <macqueen1 at llnl.gov> wrote: > In addition to which, I would recommend > > df <- read.table("DATAM", header = TRUE, fill = TRUE, >

Hi R users, I have a question about reading from text files. The file has the structure below: Time Column1 Column2 01.01.2001-12:00:00 01.01.2001-24:00:00 12 11 01.02.2001-12:00:00 13 10 01.02.2001-24:00:00 11 12 01.03.2001-12:00:00 15 11 01.03.2001-24:00:00 16 10 ... I