similar to: wmtsa (wavCWT)

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,

Is there a way to write and analysis to disk and then reconstruct the whole thing back into an object. wavCWT() #wmtsa package I am running out of memory on my computer and I was wondering if there was a way to iterate through this process (as it is an iterative process anyway- it just stores the whole thing to memory). Or is there a way to set the scale that I want to look at so that wavCWT

read.table("bug.txt", header=TRUE) plotMeans(bug$tot, bug$station, error.bars="se", main="Total") The plot is ordered in this way HC RM190 RM198 RM202. I would like it to plot in this way HC RM202 RM198 RM190. thanks Stephen Is this okay or would you like the data to be copied and pasted into the message body. I am trying to optimize my postings. -- Let's

I have dissolved oxygen traces that are continuous (fifteen minutes) for two years (save for a couple of days, weeks, or minutes there depending on the perogative of the river). These traces are spaced out by river mile. I have figured out how to prepare data as to the sunspot example, but I can not figure out how to get multiple traces into the prepSEIS function and this is the warning that I

boxplot(x[,c(2,15,28,41,54,67,80,93,106)], ylab="mg/s", names=c("RM215", "RM202", "RM198", "RM190", "RM185", "RM179", "RM148", "RM119", "RM61")) this is the code I am using to make a standard box plot. Is there a way to get the number of NA observations plotted onto the graph easily. I can always

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

I am was going to look at the as.yearmon function in the zoo package and write a as.day function to aggregate a time series of 96 observations per day into the mean for each day, but I don't know how to look at the code so that I can convert it into something I can use. On top of that I believe that it is probably an S3 method and I haven't quite gotten that far in my programming

# I am sure that I could be more efficient than this but how? Thanks in advance. #GPS in Decimal Degrees in the form longitude latitude RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1) SC <- matrix(c(-82.025888, 33.606454), nrow=1) RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1) RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1) HC <- matrix(c(-81.920505, 33.46192), nrow=1)

I would like to include this in a package. The S3 methods on R CMD check says * checking S3 generic/method consistency ... WARNING window: function(x, ...) window.chron: function(data, day1, hour1, day2, hour2, ...) See section 'Generic functions and methods' of the 'Writing R Extensions' manual. I have looked and can not figure it out. This function is for convience. What

I have attached the signal that causes the error message in this email subject. Only columns 1 and 3 have to be considered. It is the work trajectory of a molecule migrating between two equilibrium conformations. The curve has 2 peaks, as shown in its plot. But I keep missing the 2nd one. Here is my short script: library(wmtsa) setwd("C:/Documents and Settings/Monville/Alanine

library(zoo) library(chron) t1 <- chron("1/1/2006", "00:00:00") t2 <- chron("1/31/2006", "23:45:00") deltat <- times("00:15:00") tt <- seq(t1, t2, by = times("00:15:00")) d <- sample(33:700, 2976, replace=TRUE) sin.zoo <- zoo(d,tt) #there are ninety six reading in a day d.max <- rollapply(sin.zoo, width=96, FUN=max)

I would like a sequence of dates with a time step of 15 minutes starting: 1/1/2006 00:00:00 - 12/31/2006 23:45:00 function(x) { chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x)) } this is the piece of code I use to read in zoo objects for any help I would be grateful I have tried sequence and I can not seem to get it to work -- Let's not

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,

look at the spectrums before you do the cbind - I would not suggest letting R wrap the data to fill in a data frame. I would suggest using something that you "know how it acts" in the frequency domain like zero. You are probably introducing periodicies that are not real, and I would suggest not to go down this path. As for finding commonalities amongst signals- it all depends on what

There is a series of data contains time in fixed step and energy varying with time, how to test its periodicity?In R, it seems there is no direct tools since I have search the R manual with periodic and I have not found any related topic. Thanks a lot

Solved. I tried to create a minimal example, but my script is too complicated to just cut out lines (too many dependencies). Instead of it, I sketch my idea. I do not say it is the nicest solution, but it works as I wanted. The first five rows of my data-matrix: > data_svd$u[1:5,] [,1] [,2] [,3] [,4] [,5] [,6] [,7] 25.12333 -0.05845695

plot(1,2, ylab= paste("insects", expression(m^2), sep=" ")) I get insects m^2 I would like m to the 2 what is the problem? -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being

RM215.sp <- SpatialPoints(RM215, proj4string=CRS("+proj=longlat +datum=WGS84")) d060101 <- as.POSIXct("2006-01-01", tz="EST") study_seq <- seq(from=d060101, length.out=761, by="days") up.215 <- sunriset(RM215.sp, study_seq, direction="sunrise", POSIXct.out=TRUE) down.215 <- sunriset(RM215.sp, study_seq, direction="sunset",

I am using the function metaMDS with jaccard distances to ordinate a set of constituent by site matrix. I can post this data if it would be helpful, but it is large to include in an email. I can also provide reproducable code if necessary. I would like to get an R^2 value for the axes of the ordination configuration that I get with metaMDS in the vegan package is there a way to do this- is it

These are date and times in the format YYYYMMDDhhmmss. I would like to take this column and make a chron object form them. I have tried a couple of the split family of functions but they need character input here is the data: date.time <- c(19851001001500, 19851001003000, 19851001004500, 19851001010000, 19851001011500, 19851001013000, 19851001014500, 19851001020000, 19851001021500,