similar to: apply and monthly time series (PR#11352)

Dear R users I am currently investigating time series analysis using an irregular time series. Our study is looking at vegetation change in areas of alien vegetation growth after clearing events. The irregular time series is sourced from Landsat ETM+ data, over a six year period I have 38 scenes. For certain periods I have monthly data while for others, images are up to three months apart. So far

Hi all, I am trying to analyse a time series data and want to make trend-season decomposition using STL approach in R. However I found the decomposition result seems to be sensitive to data points even with the robust option. More specifically, suppose I have a few years of monthly data. Using stl, I got a decomposition T1 + S1 + R1. Then I deleted the most recent two or three data points, the

Dear R Users Thanks for the help in advance and lets get straight to the problem: I have a 400 year long temperature time series and I am looking for decades that show a linear trend decrease of approximately -0.1 Kelvin or degrees. --> What I would like to program: A loop/function / command line that prints the values of all the trends (can also be overlapping) into a matrix that could have

Dear Achim, Thanks for the comment. Here is the publisher's style guideline (AGU) "Because the Internet is dynamic environment and sites may change or move, treat World Wide Web, ftp files, and electronically archived data stored at data centers other than World or National Data Centers as unpublished, i.e., in text only." http://www.agu.org/pubs/AuthorRefSheet.pdf So by this

How can I had a trend line to my plot? My data looks like this: Date=seq(as.Date("1910/1/1"), as.Date("1920/1/1"), "day") Values=runif(length(Date), min=-5, max=5) dataset=data.frame(Values,as.Date(Date)) I just want to add a linear trend line to this plot(dataset,col=rgb(1,0,0,1/8),cex=0.5,pch=19) -- View this message in context:

Dear R world, Do you know about a function that would capitalize in the correct manner first and family names? I found in the cwhmisc only the CapLeading function, but it just does not do the job, taking care only to capitalize the first letter of a word. I am looking for a function that would recognize " |'|Mc|-" and capitalize the first letter following these characters. An

G'day, I am looking at monthly reports, and have three series of monthly data from 2007 to 2009. I would like to show the season decomposition of these two series side by side on the one device, however using plot doesn't seem to respect any use of layout(matrix(1:3, ncol=3)) or par(mfcol=c(1,3)). I'm guessing that this means that the plot(stl) perhaps uses them, but I can't find

I have data from several sensors that recorded data at hourly intervals during seven months. I want to separate daily variation from the trend, and also be able to zoom in on only one month of data. I have not been able what functions to use, I can not figure out from the help for 'ts' how to use hourly data. I guess this is routine-work for a lot of people so I hope someone can

HI i'm trying to detect breaks points in various flow time series, they all contains seasonality and trend my question is : i have to remove this seasonality and trend before apply the function breakpoints du package strucchange?? another question, the function breakpoints is similar to de Pettit tests ? or how does it realy works? THANKS!!!! DENISSE -- View this message in context:

Hello everyone, I was looking for a way to classify time-series based on the curve-fit. I try to campute several trends so i was thinking to link each trend with a function. increase with exponential for example, increase and decrease with a gaussian etc. The possiblities are endless though and it seems that is not always working well, especially if you work on small time-series (of 5-10 points

Hi is it possible to fit a trend line (or some other panel function) through each of multiple data series plotted on the same graph? Specifically, while one can do something like xyplot(a+b+c~x) which plots three series, a,b & c, but can one automatically fit lines through each of them? I suppose one could generate three more variables afit, bfit, and cfit with a model & predict and

Hi all, Can anyone clear my doubts about what conclusions to take with the following what puts of some time series tests: > adf.test(melbmax) Augmented Dickey-Fuller Test data: melbmax Dickey-Fuller = -5.4075, Lag order = 15, p-value = 0.01 alternative hypothesis: stationary Warning message: p-value smaller than printed p-value in: adf.test(melbmax)

Hi everybody. I use to work with monthly data, however this is my first time working with weekly data. I have 4 data bases with monthly data and 1 with weekly data, so I want to convert my weekly to monthly data in order to have the same periodicity in all of them. I've read that package xts can help me with this issue, so I have done the following script:

I got a set of data which has seasonal trend in form of sinx, cosx, I don't have any idea on how to deal with it. Can you give me a starting point? Thanks, Terry

I have the following daily exchange rate series (from january 1st 1996 to december 31st 2008) and I want to obtain them monthly series from it. I've read about the 'zoo' library but I'm not getting it how to do it. These are the data (left column day-month-year, right column the index) 31/12/1993 1,12509 03/01/1994 1,12509 04/01/1994 1,12558 05/01/1994 1,1258 06/01/1994 1,12596

Hello, I am analyzing some climate time series data using the Mann Kendall package and was wondering if there was a way to calculate the trend using Sen's nonparametric estimator slope in R? Thank you in advance, Barry _________________________ Barry Baker, Ph.D. Global Climate Change Initiative The Nature Conservancy 2424 Spruce St., Suite 100 Boulder, CO 80302 Tel: (303)-541-0322 Fax:

I have weekly time series data with year, month, day, and price variables. The input data set for the weekly series takes the following form: Year month day price 1990 8 20 119.1 1990 8 27 124.5 1990 9 3 124.2 1990 9 10 125.2 1990 9 17 126.6 1990 9 24 127.2 1990 10 1 132.1 1990 10 8 133.3 1990 10 15 133.9 1990 10 22 134.5 1990 10 29 133.9 .. ... ... ... ... ... .... .... 2008 3 3 313.7 2008

Commit-ID: d7d16afbdae9bdea83aeb26ac572e6fc4d7d4940 Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=d7d16afbdae9bdea83aeb26ac572e6fc4d7d4940 Author: Steve McIntyre <steve at einval.com> AuthorDate: Fri, 29 Jun 2012 18:13:34 +0100 Committer: maximilian attems <max at stro.at> CommitDate: Sun, 1 Jul 2012 22:51:00 +0200 [klibc] arm/setjmp.S: fix longjmp

Hello, I am very new to R and Time Series. I need some help including R codes about the following issues. I' ll really appreciate any number of answers... # I have a time series data composed of 24 values: myinput = c(n1,n2...,n24); # In order to make a forecasting a, I use the following codes result1 = arima(ts(myinput),order = c(p,d,q),seasonal = list(order=c(P,D,Q))) result2 =

Hi, I have a dataset which includes monthly data for 17 years. I want to be able to see the monthly data behavior for the period of all 17 years. What my data looks like: http://r.789695.n4.nabble.com/file/n4162534/data.jpg I would like to represent the data in a graph such as the one below: http://r.789695.n4.nabble.com/file/n4162534/Untitled-2.jpg Any help would be appreciated. Thanks!