similar to: How to speed up interpolation

In my main R program, I have source("retaanalysis/Functions/doAirport.R") .... stuff to read data and calculate ads sapply(ads, function(x) {doAirport(x, base)} ) And doAirport has # analyze the flights for a given airport doAirport = function(df, base) { # Get rid of unused runway factor levels (from other airports) df$lrw <- drop.levels(df$lrw) # In gdata package #

Hi R-users, I have this code to uniformise the data using gamma: > length(dp1) [1] 696 > dim(dp1) [1] 58 12 > dim(ahall) [1]  1 12 > dim(bhall) [1]  1 12 > trans_dt <- function(dt,a,b) + { n1 <- ncol(dt) +   n2 <- length(dt) +   trans  <- vector(mode='numeric', length=n2) +   dim(trans) <- dim(dt) +   for (i in 1:n1) +   {  dt[,i] <- as.vector(dt[,i])

Hi. Has anyone tried http://svn.xiph.org/branches/theora-mmx this code on Win32 ? I can compile it with very small modification, 304c304 < ogg_int16_t *const temp= (ogg_int16_t*)align_tmp; --- > ogg_int16_t *const temp= (int16_t*)align_tmp; but outputs seem terribly broken. -> ex. http://mycomputer.cc/temp/mmx-out.ogg GCC version is 3.4.2. $ gcc --version gcc.exe (GCC) 3.4.2

I think this is an issue of serious interest to many of the subscribers of these lists; it would effectively ban a lot of security-related tools that many of use now find indispensable, e.g. ssh, pgp. ------- Start of forwarded message ------- Date: 21 Mar 1997 10:11:57 GMT From: rja14@cl.cam.ac.uk (Ross Anderson) Approved: R.E.Wolff@BitWizard.nl Subject: DTI proposals on key escrow The British

> > Simple answer: > Administrator, No > Domain Admins, Yes Ok. It was already that way. root at fileserver:/etc/samba# getent group ... domain admins:x:10004: domain users:x:10000: dap:x:10003: dti:x:10001: For some reason with the administrator user is not working, I put my user as domain admin and include him as a member of unix and now I can access the security tab.

Hola, Acabo de calcular tf-idf y me surge una duda. ¿Habría un valor de idf o tf-idf que se considerara como umbral para establecer que una palabra es muy común o no? Los valores de idf en mis datos van entre 0 y 3.78 y los de tf-idf ente 0 y 0.07. Un saludo El Mar, 28 de Abril de 2020, 12:53, Carlos Ortega escribió: > Hola, > Yo de primeras los quitaría para qué otros topics aparecen.

Dear R users,I'm a new user of R. I'm trying to do a LM test an there is this type of error: Error in t(mX) %*% mX : requires numeric/complex matrix/vector arguments. To be clear I write down the code in which mY ( 126,1 ) mX (126,1) mZ(126,1) are matrix. LMTEST <- function(mY, mX, mZ)#mY, mX, mZ must be matrices!#returns the LM test statistic and the degree of freedom{iT =

Hi, I''m confused about managing field boosting ... I have set the :boost for the :name field in my docs to 10, via :boost => 10 Then I performed a search for ''keith'' over all fields via with *:(keith*), expecting a doc with Keith in the :name field to come out on top. But another doc with Keith mentioned in other fields (:comments, :address) scored higher. I

I think I have the same problems as: http://gluster.org/pipermail/gluster-users/2011-June/007980.html and http://gluster.org/pipermail/gluster-users/2011-May/007697.html Recently I installed Glusterfs 3.2.0 on four workstations which share a total of 28TB of disk-space between them for batch processing of FMRI and DTI data. Had the same setup between three workstations and 9TB with Glusterfs

Buenos días, Estoy realizando un análisis de topic models con el método LDA. En principio, he quitado del análisis las palabras "stopwords" universales. A la hora de ver los topics y sus palabras más frecuentes encuentro que son muy similares y hay palabras que aparecen en todos los topics. Los textos que estoy analizando son opiniones de consumidores sobre una categoría concreta de

Tf-idf is most used used weighting scheme is easy to understand and has been used in other frameworks like lucene and many other places. okapi bm25(implemented in xapian) is theoretically better/improved measure than tf-idf and i am looking into various other weighting scheme which are there in xapian or can be implemented like TF-ICF(term frequecy inverse corpus frequency),TF-RF(term

Hi, #working directory data1 #changed name data to data1.? Added some files in each of sub directories a1, a2, etc. ?indx1<- indx[indx!=""] lapply(indx1,function(x) list.files(x)) #[[1]] #[1] "a1.txt"??????? "mmmmm11kk.txt" #[[2]] #[1] "a2.txt"??????? "mmmmm11kk.txt" #[[3]] #[1] "a3.txt"??????? "mmmmm11kk.txt" #[[4]] #[1]

Hello guys.I just read up about tf-idf schemes and want to implement it in Xapian (with some frequently used normalizations) as it will also give me a good hang of implementing a weighting scheme before I start working on implementing DFR schemes. I read the following as references and I think Ive understood it well and can write the hack :- 1.)

Hello list. I recently moved to an AD environment. I'm still keeping a samba servers to make my cups-managed printers available to windows users, rather than duplicating configuration with a Windows print service. But I'm facing two problems, probably due to the way we manage AD. First, all my host belong to a Unix-managed DNS domain (msr-inria.inria.fr), not to the windows-managed

Hello Everyone, I am a second year graduate student at IIIT-Bangalore and my interest is in the field of Information Retrieval. I have successfully compiled Xapian from source and have implemented some examples. While going through the project list Weighting Schemes project is the one I was looking to contribute to. So i went through the xapian-core/weight where most of the schemes are already

Hi, all: Two examples are shown below. I want to use the multiple comparison of Dunnett. It succeeded in upper case "example 1". However, the lower case "example 2" went wrong. In "example 2", the function pmvt return NaN, so I cannot show this simtest result. Is there any solution? (I changed the variable "maxpts" to a large number in front of the

Hello, I'm Shivang Bansal, a 3rd year Computer Science Engineering undergraduate at Institute of Engineering & Technology in Lucknow, India. This mail is an expression of my interest for Google Summer of Code program of this year. I want to apologize for getting in so late. Actually I would have contacted earlier, but sudden demise of my Grandfather disabled me in doing so. I am

Hello, Thanks James for the reply. That cleared a few things out. Apologies for replying late because of exams going on. I was going through the previous clustering API to understand how it worked and it seems like the the approach for construction of the termlists which are used for distance metrics use TF-IDF weighting with cosine similarity, which is very similar to the approach I would need

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 dti is a new contributed package for R, that implements functions for smoothing Diffusion-weighted MR data with structural adaptive smoothing methods. Version 0.5-2 contains functions for smoothing DW data in the context of the Diffusion Tensor Model and for visualization of Diffusion Tensor Data and anisotropy maps derived thereof. The tensor

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 dti is a new contributed package for R, that implements functions for smoothing Diffusion-weighted MR data with structural adaptive smoothing methods. Version 0.5-2 contains functions for smoothing DW data in the context of the Diffusion Tensor Model and for visualization of Diffusion Tensor Data and anisotropy maps derived thereof. The tensor