similar to: How to format data for time-series analysis

Hello all, I'm getting much further with my time-series work, but still getting into some problems. I'm using POSIXct time format with both date and time. I'd like to use that in an its object but It seems its only processes the date part of the POSIX time stamps: BMU_its_data <- its(data[BMUindex,2-4],dates=data[BMUindex,1]) Error in `row.names<-.data.frame`(`*tmp*`,

Hello all, I'm now using image() to show image data (in my case dumps of SOM weights) but would like to show RGB colour data, not just single "z" colour values. I've currently been using seq() to skip 4 values, so I can show the R, G or B channels separately as "z". But is there a way I can show all three channels simultaneously as a proper colour image? Thanks, B.

Hello all, I've scoured the archives and google and I can't figure out how to amalgamate a set of vectors of differing lengths in such a way as I can calculate the mean easily. The following dummy example contains vectors of length 1, but my data has vectors of various lengths. R> test = list(); for(i in 1:5) {test = append(test, i)} R> test [[1]] [1] 1 [[2]] [1] 2 [[3]] [1] 3

Hello all, I'm stuck with a strange issue with writing jpegs of plots to a folder in a loop. This works: for (step in 1:length(steps)) { jpeg(filename=paste("frame_",sprintf("%05d",step),".jpg",sep="")) plot(steps[[step]]) dev.off() } But if I use qplot to generate the plot (which is my aim): for (step in 1:length(steps)) {

Hey all, I'm working on a media-database art project that basically stores a bunch of sound and video files, which are then navigated based on meta-data. I'm not sure where to start asking these, questions, here seemed like a good start. So I was thinking I should use an open format, like ogg/vorbis/theora. I also thought, will all that coll meta-data stuff in ogg I should be able to

Dear R developpers, I am a user of Splus since many years and I have developped lots of functions to plot graph of data and model results of irregular or regular times series. In Splus regular times series are created using the rts function and irregular time series using the its functions. In both cases, times is given as a numeric vector. There is no problem in plotting a regular and an

I am new to R and am trying to solve the following problem: I have a data file containing tick-by-tick, millisecond level prices for some stocks. I have another file or two containing orders and trades, again, with millisecond time-stamps. Both of these files are irregularly spaced and the time stamps are in an iso format (<date> <time>.<millisecond>) I would like to create a

Dear list members, How can I shade the background area of a zoo time series object between specific dates? eg. library(tseries) library(zoo) SP500<-get.hist.quote("^GSPC", start = "1990-01-01", quote = "Close") plot(SP500) How can I produce the same plot but with a (say) red background between 2007-04-12 and 2008-05-14 ?

Hi All, I have a data set of daily measurements of river flow. I would like to create a "ts" object from this data. Here's a sample data set: date <- as.Date(c(1:300), format="%Y") year=as.numeric(format(date, format = "%Y")) month=as.numeric(format(date, format = "%m")) julianday=as.numeric(format(date, format = "%j"))

New user here. My goal is pull daily averages from a long dataset. I've been working with some code I got from this list from https://stat.ethz.ch/pipermail/r-help/2009-March/191302.html The code how I have been using it is as follows: library(zoo) library(chron) DB<-read.table("/Users/me/Desktop/R/data.csv", sep=",", header=TRUE, as.is =TRUE) z<-zoo(LTER6$temp,

I am trying to plot two 3-dimensional time series in one window (such that there will be 3 rows and 2 columns). For zoo and ts objects the par(mfrow...) option does not work. I can get xyplot to make the plots, but data are on widely different scales in the three dimensions, and xyplot uses the same scale on all y-axis which means that in some dimensions the curves will be almost horizontal lines.

Is there a easy way to create the time index for a zoo/xts object for every 100 milliseconds. eg. time Index would be: 10:00:00:100 10:00:00:200 10:00:00:300 10:00:00:400 I am looking to build an empty zoo/xts object with time index from 10am to 3pm, index jumps by 100ms each row. Thanks, Chris -- View this message in context:

Hello. I've got many (5-20k) files with time series in a text format like this: 1359635460 2.006747 1359635520 1.886745 1359635580 3.066988 1359635640 3.633578 1359635700 2.140082 1359635760 2.033564 1359635820 1.980123 1359635880 2.060131 1359635940 2.113416 1359636000 2.440172 First field is a unix timestamp, second is a float number. Its

Thanks for everyone's input so far, it is greatly appreciated. But I've got one last task I could use some advice on Here are the first few lines of my data set: site,time_local,time_utc,reef_type_code,sensor_type,sensor_depth_m,temperature_c 06,2006-04-09 10:20:00,2006-04-09 20:20:00,BAK,sb39, 2, 29.63 06,2006-04-09 10:40:00,2006-04-09 20:40:00,BAK,sb39, 2, 29.56 06,2006-04-09

Hello, I am currently attempting to introduce R at my company and am trying to import time series data from a text file into R to graph. The format of the text file is in date, data (e.g., 20040929 3.361). My problem is that I do not know how to get R to recognize the first column as a business date series. Or at the very least, I am unable to find a function that will grap the second column

Hello, I am trying to switch to R from S-PLUS 6.1, and one problem I am having is using R for manipulation of calendar-based time-series. In S-PLUS, I commonly use the functions timeSequence(), timeDate(), and timeSeries() to align/average/aggregate data; and I also do a lot of plotting of time-series data (with calendar-based labels on the x-axis). I was wondering if anyone is familiar with

This maybe a basic question, but I have spent several hours researching and I could not get an answer, so please bear with me. The problem is with time series in the package tseries. As the example below shows, the time series can get misaligned, so that bad results are obtained when doing regressions. I found a way to do this correctly, but I find it rather cumbersome. My question is: is there a

Hi, everyone, I tried to use "spectrum()" or "spec.pgram()" to get a periodogram of a time series but they didn't work. Even the examples given in the help file didn't work (all with the same error message, below). And the 'ts'ibrary was loaded with "library(ts)" or "library("ts"). I also tried library(tseries) but got the same problem.

I like the fact that in subtracting two time series objects that there is some effort to align the series. So if I have a time series of that begins at 1 and one that begins at 2 a subtraction operation makes sure that the proper values are subtracted. But I am unclear as to the best way to build a time series with "holes". say that I have data for "day" 1,2,6,7 in one time

Hello, Sorry if anyone gets this message twice, as my mailserver may not be working. Thanks for your response. Your idea makes a lot of sense to me, but I've been unable to get seconds to work. I ended up with this format finally: "2007-10-31_16:20:22" Problem is I am unable to get it recognized as a date using timeDate(): R>