similar to: write data using xlsReadWrite

Hai I'm Dee. I'm trying to write var data from these codes inside excel file. My directory to store the data is *D:\FYP\image* . these are my codes, can you help give an advice or idea with my problem: l*ibrary("biOps") library("waveslim") library("xlsReadWrite") x <- readTiff("D:\\FYP\\image\\SignatureImage\\user186g1.tif") y <-

Hi: I have encountered problems with imodwt and universal.thresh.modwt and cannot find any reference in R Search. Hope someone can give me some ideas: Starting with modwt.la8 <- modwt(xdata, "la8", n.level=6) <-- this seems to work fine (1) ydata <- imodwt(modwt.la8) will always give ydata as numeric(0) (no values) instead of being a time series data with

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 would like to create a vector of pairlist (flag, binary_value) like: (variable ="TrendOff", value = 0) (variable ="MOdwt", value = 1) (variable ? "ZeroPadding", value =1) ................................................ I tried the following syntax but the emcompassing list (that I called "flags") is not made up of pairlists. Instead it

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

> wt.filter("d8") #### HOW COME ???? Error in validObject(.Object) : invalid class "wt.filter" object: invalid object for slot "transform" in class "wt.filter": got class "function", should be or extend class "character" > wt.filter("d10") # OK An object of

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

Hi there, When I run the code below I get the error Error in xy.coords(x, NULL, log = log) :(list) object cannot be coerced to type 'double' Any tips how I can resolve this? > > library("waveslim") > > vols=read.csv(file="C:/Users/ocuk/My Documents/Abs Vol.csv", header=TRUE, > sep=",") > x<-c(vols[,1]) > #x > #data(ibm) >

Hello, I get the following message when I try to load a time series of 128 stock returns. Error in modwt(stock, wf = "la8", n.levels = 8, boundary = "periodic") : wavelet transform exceeds sample size in modwt I thought that MODWT had no restrictions on the sample size? Any help? -- View this message in context:

Airon, I'm not sure I have understood your question. Anyway, it seems to me that you'll have to code a little. Take a look at ?modwt. I think you'll have to put zeros each scale a time except the one you want to reconstruct. Then do imodwt. After some small loop, I think you'll get the desired result. HTH, Rogerio. ---------- Cabe?alho original ----------- De: "Airon

Hi everyone I am using the wavelet and waveslim package in R to find the wave variance.Here is the code return.modwt<-modwt(X, filter="la8", n.levels=5, boundary="periodic", fast=TRUE) return.modwt.var<- wave.variance(return.modwt, type="nongaussian") Where X is a uni-variate time series. I am expecting a matrix with 5 rows(no. of levels) and 3

Dear Samba Team, There are three issues happening in my Samba 3.6.6 Issue 1: After upgrade, when upload file which is more 100mb to Samba, it shows error "File name too long cannot copy" in windows xp. Tried to use 3 different pc to upload different files more than 100mb, it also fail to transfer the file and show the error. Tested to upload file which is 25mb or 50mb, it is okay, no

Hi there, I'm pleased to announce the availability (CVS only for now) of pymp3cut. pymp3cut is a GPLed Python command line tool designed to automatically cut very big mp3 files according to a timeline, and postprocess each subfile with any tool of your choice in a single run. It's useful if you stream very long events (10 hours or so) like congresses using IceCast and want to cut the

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ============================================================== Do you have a 27B-6? I'm kind of a stickler for paperwork. -- Sam Lowery ============================================================== Release Announcements

Dear all: Greetings from Mumbai, India. Reference?R help solution [Rogerio, Thu 16 Nov 2006 - 20:54:25 GMT]. Simonsen, Jensen and Johansen (2002) [arXiv:cond-mat/0202352v1] note "(.wavelet filtered was...) achieved?by first transforming the log-price [...] to the?wavelet-domain, setting all wavelet coefficient corresponding?to scales larger then 1000 trading days to zero, and finally

I take the liberty of pasting the on-line documentation for package "wavelets", functions "dwt" and "wt.filter", pertinent to the wavelet/filter choice. While I apologize for my verbose messages with huge attachments, I encourage whoever loads packages to CRAN to take some minutes to reread the attached documentation. Usage dwt(X, filter="la8", n.levels,

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Hi, I have a few corrections for OPENssh-2.9p1 solaris packaging. I use to configure: setenv CFLAGS -I/opt/local/include setenv LDFLAGS "-R/opt/JGMAzlib/lib -L/opt/JGMAzlib/lib" ./configure --prefix=/opt/OPENssh --with-tcp-wrappers --sysconfdir=/etc/opt/OPENssh --localstatedir=/var/opt/OPENssh --with-pid-dir=/var/opt/OPENssh/run --with-ssl-dir=/opt/OPENssl --with-ipv4-default

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking