similar to: error message in eval

aa <- (structure(list(X.0.85 = c(-1.02, -1.17, -1.29, -1.39, -1.46, -1.5, -1.52, -1.5, -1.46, -1.39, -1.3, -1.19, -1.07, -0.93, -0.79, -0.65, -0.5, -0.36, -0.22, -0.08, 0.05, 0.18, 0.3, 0.41, 0.52, 0.62, 0.72, 0.81, 0.89, 0.98, 1.05, 1.13, 1.19, 1.25, 1.29, 1.31, 1.31, 1.29, 1.24, 1.16, 1.06, 0.93, 0.77, 0.58, 0.38, 0.16, -0.07, -0.31, -0.89, -1.05, -1.19, -1.31, -1.41, -1.47, -1.51, -1.51,

Full_Name: Maura Monville Version: 2.8 OS: Mac OS/X 10.5 Submission from: (NULL) (87.4.122.234) Here is the code that causes wavCWTPeaks error aats <- create.signalSeries(aa, pos=list(from=0.0, by=0.033)) aa.cwt <- wavCWT(aats) x11 (width=10,height=12) plot (aats,main=paste(insig," Cycle: ",j,sep="")) aa.maxtree <- wavCWTTree (aa.cwt,

Dear, I am using "cwt "function from Rwave package to perform Morlet wavelet analysis. d1<-c(1.31673209591515, -0.171333455797346, -1.67618546079420, -0.931604651010362, -0.954614183224057, -1.19821794547758, 0.516096363353144, -0.0432811977638559, 0.737764943619919, 0.438046629673177, -0.208607167908743, -0.3091308821262, -1.42473112931594, 0.234125312118165, -0.307047554490597,

I cannot understand the following error printed out when I try to get the extrema of my time series. I would appreciate some suggestion as I really cannot interpret the error. I might not be using a proper set of parameters in calling such functions. I am learning by doing ... > aa.peak <- wavCWTPeaks (aa.tree) Error in `row.names<-.data.frame`(`*tmp*`, value = c("1",

Here is another occurrence of wmTSA internal error. My time series is a short breathing cycle (2425-Cyle_9.txt). Since wmtsa functions that extract extrema seem to expect longer series than I have, I tried the folowing two tricks: 1) I prolong the 1-cycle series on both ends through duplicating the first value (on the left end( and the last value on the right end as any ties as the 1-cycle

Hi! I have written an R-package (http://tocsy.agnld.uni-potsdam.de/wavelets/index.html) in R 2.4.1 that requires the ts() function. Users using R 2.5.0 now have a problem installing this package. I checked the package using R 2.5.0: _______________________________________________________ * Installing *source* package 'sowas' ... ** libs gcc -std=gnu99

Hello, I have been creating many tileplots to try and illustrate the relative abundance of fish through space and time. My issue is that the tiles that border the plot are smaller than those in the center of the plot. In the example I've provided the effect is pretty minor (I'm hoping this will be an adequate example as I had the code already created/data uploaded). However, I have other

I am looking for some explanations about the usage of the poorely documented R paclkage Rwave. Has anyone ever tried out its functions for Wavelet Analysis ? Thank you so much. Maura Alice Messenger ;-) chatti anche con gli amici di Windows Live Messenger e tutti i telefonini TIM! Vai su http://maileservizi.alice.it/alice_messenger/index.html?pmk=footer [[alternative HTML version deleted]]

Ok, here's a weird one. I've attached a spa2000 to asterisk, and got the two phones to register as exten 706 and 707. I can call exten 708 (a cisco 7940) from 707 and everything works fine. I can call exten 708 from 706 and everything works fine. When I make a call to either 706 or 707 from any phone, the phone attached to the spa does not ring. However, if I pick up the appropriate

In my previous experience with wmtsa function wavCWTPeaks I realized the Tolerance vector passed to the multi-scale decomposition function "wavCWTTree" is crucial for detecting the time series extrema and prevent the R script from aborting. By trial & error I recently managed to figure out the Tolerance vector values in a single case (please see attachments). I am looking for some

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

Hello, can anybody tell me how to produce a plot like the one in http://cran.r-project.org/web/packages/lme4/vignettes/Implementation.pdf on page 13, Figure 6? The data is stored in: library(nlme) data(Oats) Cheers -- View this message in context: http://r.789695.n4.nabble.com/Help-needed-in-reproducing-a-plot-tp4119603p4119603.html Sent from the R help mailing list archive at

hi, folks: i need to transpose the following data: gene tissue patient1 patient2 patient3..... --------------------------------------------- gene1 breast 10 100 1 gene2 breast 20 200 4 gene3 breast 30 50 5 gene4 breast 40 400 9 ................................ to the

Hello, I'm pretty new to R. Basically, how do I speed up the for loop below. Or better yet, get rid of the for loop all together. objective: plot two data sets column against column by index. These data sets have alot NA's. Some columns are all NA's. I need the plots to overlay. I don't like the plots in matplot(). Needs to be much faster than the code below... #simple sample

Hi, I have a data-matrix: > PID sato hrs fim health 214 3 4.376430 6.582958 5 193 6 4.361825 3.138525 6 8441 6 4.205771 3.835886 7 7525 6 4.284489 3.245139 6 6806 7 4.168926 2.821833 7 5682 7 1.788707 1.212653 7 5225 6 1.651463 1.436980 7 4845 6 1.692710 1.267359 4 4552 5 1.686448 1.220539 6

Dear R users, I have a problem with reshaping data. I know such questions have been asked before, but I can't get it right, neither with the reshape function nor with the melt function. My dataset has about 407 variables and about 48000 cases. Each case looks as follows: V1 v2 v3 v4 v5 v6 v7 x1 y1 x2 y2 .... x200 y200 V1 is unique, v2-v7 are

Anyone have an example XML file for the PAP2T? Cheers, j

library(dplyr) DM <- read.table( text='GR x y A 25 125 A 23 135 . . . ) DM %>% filter((GR == "A" & (x >= 15) & (x <= 30)) | (GR == "B" & (x >= 40) & (x <= 50)) | (GR == "C" & (x >= 60) & (x <= 75))) On Fri, Dec 8, 2017 at 4:48 PM, Ashta <sewashm at gmail.com>

I have a dataset named DM with p1, p2, ...., p9 (9 columns, numerical values) I would like to calculate to multify each pair of columns (p1p2, p1p3,... p1p9, p2p3, p2p4.... p8p9) and assign them in p1p2, p1p3,... p1p9, p2p3, p2p4.... p8p9 In SAS, l=0; p_int_sum=0; do i=1 to 8; do j=(i+1) to 9; l=l+1; p{i}p{j}=p{i}*p{j}; end; end; I would like to know how to assign them in R I tried for