similar to: understanding DWT

hi everyone . I am trying to use some packages but there are some functions have the same name in different package. for example dwt function both in packages wavelets and waveslim dwt(X, filter="la8", n.levels, boundary="periodic") How can I avoid mixing them up ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China

This code consistenly segfaults for me. Can someone please take a look and tell me if the problem is due to something I am doing or is there a problems with the dwt (idwt) functions in the waveslim library. Thanks tom library(waveslim)

Hello, I have upgraded from Mandrake Linux 8.0 to Mandrake 8.1 and try to reinstall my favourite R... Everything is OK for the base software but I have trouble to get some packages installed. Specifically, for some packages, a "collect2" binary seems to be necessary during the compilation/linking process of the library, and LD complains about not finding it : Installing source

Hi, I am interested in a applying wavelets as a smoothing tool for my (1-dimensional) data. I looked into wavetresh and waveslim packages but could not quite figure out an obvious way to do this after running dwt or wt functions. Would someone be able to point me in the right direction on how to denoise univariate data using one of wavelet packages available in R? Thank you very much Jane ps

Dear R Users, For running wavelet functions using dwt( ), modwt( ), and mra( ), a wavelet filter algorithm is applied. For all these functions, default is "la8" and other possibility is "haar". In related documents, another possibilities like as symlet and coiflet ... are not cited. Besides "la8" and "haar", which wavelet filters can be used? Thank

Given a time series of length N, I am trying to figure out its maximum DWT decomposition level. With reference to "dwt" function of R package "wavelets", running the provided example I get the following and wonder how the maximum decomposition level (which is not an integer number) is calculated. I tried myself the formula in the on-line documentation but could not get the

I have written a short script to estimate the size of a test of non-constant mean in an AR(1) time series. When I run the simulation on my PC (R version 2.7.1), I get the expected result: an empirical size much larger than the nominal size. On the Red Hat machine (R version 2.7.2) in my department, however, I get p-values > .45 for every simulated test. Below is my simulation code (uses

Dear all, Using R function "dwt", it seems that I cannot specify the wavelet transformation like Haar. What's the R code for wavelet decomposition which allows me to specify Haar wavelet transformation? Of course, if it can include "db2", that is even better. In general, I want an R function like matlab code "dwt". Thanks in advance! Zhen Li

Airon, I used R2.4.0 on a Windows XP (SP2) (not Chinese :-)) and it still works: > data = read.csv("u:/airon.csv") > xdata = data$Adj..Close > modwt.la8 = modwt(xdata, "la8", n.level=6) > summary(modwt.la8) Length Class Mode d1 1467 -none- numeric d2 1467 -none- numeric d3 1467 -none- numeric d4 1467 -none- numeric d5 1467 -none- numeric d6 1467

I do get problems with name resolution accross subnet bounderies. I have a working and wins server and to demonstrate the problem I paste the debug output of mount /smbhome/ opts: uid=1000 opts: gid=1000 mount.smbfs started (version 2.2.2debian-2) added interface ip=192.168.6.2 bcast=192.168.6.255 nmask=255.255.255.0 resolve_lmhosts: Attempting lmhosts lookup for name Tri-st-s001<0x20>

Using ordered probit model, I get errors from dwt and bptest. dwt: Error in durbinWatsonTest.default(...) : requires vector of residuals bptest: Error in storage.mode(y) <- "double" : invalid to change the storage mode of a factor I imagine I have to restate as an individual probit model for each category, but is there an easier way? thanks, bp [[alternative HTML version

After playing with the vorbis code for a while and doing tons of hacks and analysis on it, I've found it to perform very poorly with impulse signals. The MDCT seems to cause lots of spreading, and it seems to result in much worse impulse performance then mp3. What is the current plan on handling this? Will a smart quantizer be able to avoid it? I've been looking at various ways of

Dear WizaRds, unfortunately, I have been unable to replace the '99' and '999' entries in library(UsingR) attach(babies) as definitions for missing values NA, because sometimes the 99 entry is indeed a correct value. Usually, or so I thought, NAs can easily replace a, say, 999 entry via mymat[mymat==999] <- "yodl" in a matrix or data frame. Alas, the babies'

Dear list members, I have problem to load data of the library waveslim. After I load the library waveslim and tried to load data ibm data(ibm) Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file `ibm.txt'' I also tried other data sets without success. It works for other libraries though. Any suggestions? Thanks. Zhu Wang

Airon, I don't think you have to find an English computer 'cause the following must work in your Chinese one :-) Let me explain. First of all, change your lines to xdata <- ckhdat$Adj..Close[1:1447] #names(ckhdwt.la8) <- c("w1", "w2", "w3", "w4", "w5","w6", "v6") note the # sign, i.e., DO NOT change the names

Hello I do wavelet transform by using this code: dec=dwt(ld, filter='d8', n.levels=lev, boundary="reflaction"); dec consists of the decomposition coefficients and other How can I change the coefficients the decomposition manualy? -- View this message in context: http://r.789695.n4.nabble.com/wavlet-transform-tp2313427p2313427.html Sent from the R help mailing list archive at

Bonjour, J'aimerais savoir si quelqu'un pourrait m'aider en ce qui concerne l'utilisation du package waveslim. Je voudrais savoir comment on fait pour revenir a un signal d'origine lorsque l'on dispose de coefficients de detail et d'approximation. Merci d'avance Tuleau Christine (christine.tuleau at math.u-psud.fr)

My Windows machine has gone "kaput" and I am trying to see how R might work on my Mac. I am interested in using the contributed packages, especially "waveslim" and "wavethresh". Are all packages available under either Windows, Mac, or Unix? I can't seem to tell from the documentation whether this is so (probably because I am not very computer literate!). Any

Hi, I'm also cc'ing it to r-help. On Wed, 6 Nov 2002, Kenneth Cabrera wrote: > Date: Wed, 06 Nov 2002 10:09:21 -0500 > From: Kenneth Cabrera <krcabrer at perseus.unalmed.edu.co> > To: kwan022 at stat.auckland.ac.nz > Subject: some questions! > > Hello Dear Ko-Kang Wang: > > I am trying to compile R v 1.6.1 . > > I am following the

> results <- mra(x$w1mcp, filter = "d4", n.levels = 3, boundary = "periodic", method = "dwt") > write.csv(results, "c:/mydata.csv") Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class 'structure("mra", package = "wavelets")' into a data.frame I am not able to access data stored in results.