similar to: s-plus in R... simpler code

Dear R-users, I have sent another mail some hour ago about a matlab Code I was trying to translate in R. Actually I have found a simpler code originally written in S-PLUS for the same function. Author's page -> http://math.bu.edu/people/murad/methods/locwhitt/ ============================================================= rfunc_function(h, len, im, peri) # h -- Starting H value for

Dear R-Users, I am doing a research on Time Series, especially on the estimation of the fractional exponent in long memory time series (for those who know). However there are three estimators already built-in the fracdiff package (GPH, Sperio, MLE) I was wondering if there is someone who had used an estimation introduced by P.M. Robinson (related paper: "Log-Periodogram regression of time

Dear R-users, I am trying to translate a matlab code for calculating the Local Whittle estimator in time series with long memory originally written by Shimotsu and available free in his webpage ( http://www.econ.queensu.ca/pub/faculty/shimotsu/ ) The Matlab code is ======================================================================================= function[r] = whittle(d,x,m) % WHITTLE.M

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slim core is used as a basis for many IPs in the STi chipsets such as fdma and demux. To avoid duplicating the elf loading code in each device driver a slim rproc driver has been created. This driver is designed to be used by other device drivers such as fdma, or demux whose IP is based around a slim core. The device driver can call slim_rproc_alloc() to allocate a slim rproc and slim_rproc_put()

Hi Lee, Thanks for reviewing. On Tue, 30 Aug 2016, Lee Jones wrote: > On Fri, 26 Aug 2016, Peter Griffin wrote: > > > slim core is used as a basis for many IPs in the STi > > chipsets such as fdma and demux. To avoid duplicating > > the elf loading code in each device driver a slim > > rproc driver has been created. > > > > This driver is designed to

On Fri, 26 Aug 2016, Peter Griffin wrote: > slim core is used as a basis for many IPs in the STi > chipsets such as fdma and demux. To avoid duplicating > the elf loading code in each device driver a slim > rproc driver has been created. > > This driver is designed to be used by other device drivers > such as fdma, or demux whose IP is based around a slim core. > The

On Fri, 26 Aug 2016, Peter Griffin wrote: > slim core is used as a basis for many IPs in the STi > chipsets such as fdma and demux. To avoid duplicating > the elf loading code in each device driver a slim > rproc driver has been created. > > This driver is designed to be used by other device drivers > such as fdma, or demux whose IP is based around a slim core. > The

I want to create a neural network, and then everytime it receives new data, instead of creating a new nnet, i want to use a backpropagation algorithm to adjust the weights in the already created nn. I'm using nnet package, I know that nn$wts gives the weights, but I cant find out which weights belong to which conections so I could implement the backpropagation algorithm myself. But if anyone

Hi, I'm currently trying desperately to get the nnet function for training a neural network (with one hidden layer) to perform a regression task. So I run it like the following: trainednet <- nnet(x=traindata, y=trainresponse, size = 30, linout = TRUE, maxit=1000) (where x is a matrix and y a numerical vector consisting of the target values for one variable) To see whether the network

Dear Group, I am using DEAL package for modeling signal transduction nets. This process is deal slow on a SunFire server with 8 gigs ram. we have a grid that can process much faster that one individual server. However, to start the process in Grid, I have to give a command or submit a batch process. Is there any way, I can run R in bach process. I tried the following: R CMD |

Full_Name: Dav Clark Version: 2.0.1 OS: OS X 10.3 Submission from: (NULL) (128.122.87.35) When the timepoints that reshape uses (in direction="long") are negative or fractional, the time label is assigned incorrectly. It is easier to give an example than to describe the problem abstractly: Assume you have a data.frame header with values related to peri-stimulus time like this:

Hi i'm a french medical student, i have some data that i import from excel. My colomn of the datafram are the localisations of metastasis. If there is a metatsasis there is the symbol "_". i want to exclude the row without metastasis wich represent the NA data. so, i wrote this mela is the data fram mela1=ifelse(mela[,c(11:12,14:21,23,24)]=="_",1,0) # selection of the

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Dear R-list, I think it's really a newbie question but ... I try to model age-period-cohort models with polynoms in each effect. I have for each level of age and period some cases -k- and persons-years -py-. Models are A_xP_y: log(k_age,period/py_age,period)=f(polynom(x),age)+f(polynom(y),period). For exemple I try to adjust an A2P3 :

1. When you don't know (or are not sure) what an object is, str() is your friend. 2. My guess is that `lidnames' is a character vector with names. 3. If genes.txt has only only column, you might as well use: mygenes <- scan("genes.txt", what="") which reads the data into mygenes as a character vector. Then your command should work. [read.table()

Does this do what you want: mydata <-read.table('mydata.txt',header=TRUE, row.names=1) see ?read.table Daniel Nordlund Research and Data Analysis Washington State Department of Social and Health Services P.O. Box 45204 Olympia, WA 98504-5204 -----Original Message----- From: S Peri [mailto:biocperi at yahoo.com] Sent: Tuesday, October 05, 2004 1:03 PM To: r-help at

l.arzeni@pride.it wrote: > Date: Thu, 7 Jan 1999 18:52:44 +0100 > From: "Luca Arzeni" <l.arzeni@pride.it> > To: "Multiple recipients of list" <samba@samba.anu.edu.au> > Subject: smb.conf information request > Message-ID: <000d01be3a66$87292b50$8e04010a@c97_124.primi.pride.it> > > Hi there, > > ENVIRONMENT: server: HP-UX11.0,

Found this. http://www.tnt.uni-hannover.de/~baumgart/peri_ear_v0.1.tgz The peripheral ear model is based on the structure of Eberhard Zwicker's "Analogmodell". That model consists of analog electrical elements. ftp://ftp.tnt.uni-hannover.de/pub/papers/2000/Diss-FB.pdf Input: Raw 100KHz monoural 16bit audio Output: hair cell excitation signal at 251 equidistant locations in

Hi. I''m building a setup where I have users and groups, and a user can have an optional title in a group (eg. "owner"). I''m doing this using "has_many :through" associations, using a Role model object as the join hub: class User < ActiveRecord::Base has_many :roles, :dependent => :destroy has_many :groups, :through => :roles end class