similar to: S-PLUS code in R

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

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

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

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 |

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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

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

Hi Vinod, Bjorn, Patrice, This patchset adds support for the Flexible Direct Memory Access (FDMA) core found on STi chipsets from STMicroelectronics. The FDMA is a slim core CPU with a dedicated firmware. It is a general purpose DMA controller supporting 16 independent channels and data can be moved from memory to memory or between memory and paced latency critical real time targets. After quite

Hi Vinod, Bjorn, Patrice, This patchset adds support for the Flexible Direct Memory Access (FDMA) core found on STi chipsets from STMicroelectronics. The FDMA is a slim core CPU with a dedicated firmware. It is a general purpose DMA controller supporting 16 independent channels and data can be moved from memory to memory or between memory and paced latency critical real time targets. After quite

Dear Rui, >From my understanding of time-dependent covariates (not an expert but have been working on a similar problem), it would appear that the coding of the status column is not correct. Unless you have observed an event at each interval you should only have status=1 for the last interval. In your example I see 3 in total. Also, I think that if "end" is proportional to your

Hello group, I am learning R and I am new to many concepts.I face the following errors when I am trying to execute the following. I have 4 text files with protein accession numbers. I wanted to represent them in a venn diagram and for that I using intersect and setdiff functions. My data looks like this: file1.txt (c): NP_000005 NP_000020 NP_000030 NP_000053 file2.txt(e): NP_000005 NP_000020

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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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