similar to: Create objects

Hi, I found the same question in the mailing list already a few months ago - but there was no answer to it - so I'll try it again Could somebody help me to solve this following problem? I just begin to learn how to connect my Oracle database with R. > library(DBI) > library(ROracle) Warning message: DLL attempted to change FPU control word from 8001f to 9001f >

Hi Listers, This has a simple answer but it has been eluding me nonetheless. I have been building a PCA plot from scratch with the ability to plot predefined groups in different colors. This has worked fine but when I try to get a polygon drawn around each of the groups it is not recognising my colour file correctly and is only printing the first colour in the file....code is below

dear all, i made some analysis with logistic regression. do you know if there is already a function available for the hosmer-lemeshow fitness test? thank you very much for the help best wishes andi

I see the comment here about some 64bit combinations failing. Well, my configuration fails. Is this really something to worry about? for R-patched: fi1->cat SVN-REVISION Revision: 39576 Last Changed Date: 2006-10-03 fi1-> > ## failed for some 64bit-Lapack-gcc combinations: > sm <- cbind(1, 3:1, 1:3) > eigenok(sm, eigen(sm)) Error: abs(A %*% V - V %*% diag(lam)) < Eps is

I am a true R novice aonly using it for this function ;) I am trying to use color2D.matplot to form a image of my data using the following conditions color2D.matplot(fi1, c(dr), c(dg), c(db), nslices=7, ylab='Species', xlab="gene", show.legend=TRUE) where fi1 is my matrix. I have a matrix with 36 columns and 130 rows. most entries are 1 or 0 and I am trying to get this

This commit adds support for dadd with an immediate src in gk110 code. The machine-code in question is generated by e.g. nouveau_compiler with the new "Make use of double immediates" patch series when building the piglit glsl-algebraic-double-add.shader_test. This commit changes the output from: 00000010: 001c0001 c38001ff $r0 $r0 $r0 $r0 0x3fe00 0x3fe00 0x3fe0000000000000

Dear all For a model I need to combine several netCDF files into one (which works fine). For better overview I'd like to delete/remove some of the attributes. Is there a simple way doing this? I'm using the package netcdf4, which creates an object of class(nc) = "ncdf4". It seems that for earlier versions of netcdf objects, there was the function att.delete.nc{RNetCDF}. But

Dear all I'm a newbie regarding netcdf data. Today I realized that I maybe do not understand some basics of the netcdf. I want to create a *.nc file containing three variables for Switzerland. All data outside of the country are NAs. The third variable is calculated from the first two variables. Basically there is no problem to do that. I copy the file with the data of the first variable,

Dear all I was thinking about efficient reading data into R and tried several ways to test if load(file.Rdata) or readRDS(file.rds) is faster. The files file.Rdata and file.rds contain the same data, the first created with save(d, ' file.Rdata', compress=F) and the second with saveRDS(d, ' file.rds', compress=F). First I used the function microbenchmark() and was a astonished

Note that if you force a garbage collection each iteration the times are more stable. However, on the average it is faster to let the garbage collector decide when to leap into action. mb_gc <- microbenchmark::microbenchmark(gc(), { x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000, control=list(order="inorder")) with(mb_gc,

On Mon, Aug 14, 2017 at 5:29 AM, <raphael.felber at agroscope.admin.ch> wrote: Dear all > > I'm a newbie regarding netcdf data. Today I realized that I maybe do not > understand some basics of the netcdf. I want to create a *.nc file > containing three variables for Switzerland. All data outside of the country > are NAs. The third variable is calculated from the first two

Good morning! I have the following data frame (df): X.outer Y.outer X.PAD1 Y.PAD1 X.PAD2 Y.PAD2 X.PAD3 Y.PAD3 X.PAD4 Y.PAD4 73 574690.0 179740.0 574690.2 179740.0 574618.3 179650 574729.2 179674 574747.1 179598 74 574680.6 179737.0 574693.4 179740.0 574719.0 179688 574831.8 179699 574724.9 179673 75 574671.0 179734.0 574696.2 179740.0 574719.0 179688 574807.8 179787 574729.2

The large value for maximum time may be due to garbage collection, which happens periodically. E.g., try the following, where the unlist(as.list()) creates a lot of garbage. I get a very large time every 102 or 51 iterations and a moderately large time more often mb <- microbenchmark::microbenchmark({ x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000)

Hi there Thanks for your answers. I didn't expect that this would be so complex. Honestly, I don't understand everything you wrote since I'm not an IT specialist. But I read something that reading *.rds files is faster than loading *.Rdata and I wanted to proof that for my system and R version. But thanks anyway for your time. Cheers Raphael > -----Urspr?ngliche Nachricht-----

Dear all I have to combine 3D netCDF files (lon, lat, time). The files contain data of one month and I need a year file containing all the data. Because the attributes of all files are the same, I copied the first file and appended the data of the other months. This went well until the provider of the data changed the time-dimension from UNLIMITED to LIMITED. Is there a way to change the time

Caching happens, both within the operating system and within the C standard library. Ostensibly the intent for those caches is to help performance, but you are right that different low-level caching algorithms can be a poor match for specific application level use cases such as copying files or parsing text syntax. However, the OS and even the specific file system drivers (e.g. ext4 on flash disk

Not convinced Jeff is completely right about this not concerning R, since I've found that the application language (R, perl, etc.) makes a difference in how files are accessed by/to OS. He is certainly correct that OS (and versions) are where the actual reading and writing happens, but sometimes the call to those can be inefficient. (Sorry, I've not got examples specifically for file

Hello Cracks, we want to import 10 x 365 files containing each 7 variables with 1211 rows. The filenames end with numbers from 1 to 365. We tried a for loop to import using read.table but we couldn't create the r objects within the loop. We want each file in an own r-objekt (matrix). Does anyone know what can be done? Thanks, Felix -- Felix Tiefenbacher Eidg. Institut f?r Schnee- und

Hi All, I wonder can I do NAT+mangle+tc on same maschine? I want to shape outgoing traffic per IP on my gateway computer. Regards Emil Terziev _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/

I would like to announce the availability of compiler support for generation of transactional code in LLVM IR. Our tool is called Tanger and it is an LLVM pass. You can download Tanger at: http://tinystm.org Transactional memory (TM) is viewed by a lot of people to be an important tool for enabling parallelism in a wide area of applications, and especially for developers that are not skilled