similar to: plot a time series against another

Dear R specialists, I'm working with time series and want to investigate the relationship between two time series by correlation analysis or by fitting a gen. lineair model to the plot of x(timeserie1) and y(timeserie2). Lin1 <- data.frame( Nr = c(1:lengte), NDII = window(ts.mNDII,c(1998,10),c(2003,11)), InvERC = window(Inv.ERC,c(1998,10),c(2003,11)) )

hi, i need help on placing legend/text in a time series plot. here is what i am doing (i am using rw1022 on windoze 2000): #read data file gdpn <- scan("jngdpsa.dat", list(year=0, qtr=0, gdp=0)); gdpr <- scan("jrgdpsa.dat", list(year=0, qtr=0, gdp=0)); #convert to time series object gdpn <- ts(gdpn$gdp, frequency=4, start=c(1955,2)); gdpr <- ts(gdpr$gdp,

Dear list, I have to look examine hourly time - series and would like to plot variable section of them using plot.zoo. Hourly time series data which looks like this: YYYY MM DD HH P-uk P-kor P-SME EPOT EREA RO R1 R2 RGES S-SNO SI SSM SUZ SLZ 2003 1 1 1 0.385 0.456 0.021 0.000 0.000 0.000 0.013 0.223 0.235 0.01 0.38

Hello everyone, I am just a tyro in R and would like your kindly help for some problems which I've been struggling for a while but still in vain. I have a time-series file (with some missing value ) which looks like time[sec] , Factor1 , Factor2 00:00:00 01.01.2007 , 0.0000 , 0.176083 01:00:00 01.01.2007 , 0.0000 , 0.176417 [ ... ] 11:00:00 10.06.2007 , 0.0000 , 0.148250 12:00:00 10.06.2007

You get a warning message when you specify a ylab parameter while plotting data whose x's are POSIXct values. Apparently the `axis.POSIXct' method tries to reset the ylab---via the ... parameter---after it has already been set by higher level methods. Here is a function that illustrates the problem. ylabProblem <- function() { x <- ISOdate(2003, 4, 1:10) # POSIXct

hello, I got a problem with plotting large time series, since I want to store the results in a .PDF file (I want to store several pages of plots). The PDF files get too large to be handled (> 10MB, one was even 200MB big). So I wonder, if there would be a possibilty to either - reduce the file size of the PDF - change the way the plot is generated to reduce the plot size? I use:

Sun, 14 Mar 2004, Jan Verbesselt wrote: > Dear R specialists, > > I have two time series in a data.frame and want to plot them in the same > plot(), with the left axis scaled to time series 1 (-700,0) and the > right axis scaled to time series 2 (-0.2, 0.4). > > plot(timeserie1) > lines(timeserie2, col=c(2)) => this one should be scaled differently > with a new

Dear all, I am doing some time series analysis with R now. The problem is, when I create a time series object using "ts" function, then after fitting the model, the predicted values cannot be plotted with "ts" object together using "lines". ie. ts.series<-ts(x,start, end) plot(ts.series) lines(predict(fit.model)) This doesn't work. Does anyone know about

Hi guys, I am logging data about my body (weight, body fat, blood pressure, ..) in a .csv file and would like to plot this as a time series. I uploaded the (noisified) .csv, you can see the link in the code I have so far (you can run the code directly as-is): df.raw <- read.csv("http://www.chaotic-neutral.de/temp/stats-noised.csv", sep=";", dec=".")

Preamble: Sorry for being dense. Now that that's done, here are my questions. I want to put a polygon on a plot of a time series. I'm going to add lines from a smooth.spline interpolation and other annotation to it. But here's the general idea: # Start code n <- 121 dat <- rnorm(n) plot(dat, type="n") polygon(c(1:n,n:1), c(dat,c(rep(0,n))), col =

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.

Dear R helpers,   I am a beginner at R so please be gentle :) I have already read manuals and FAQs, with no help. I have a monthly time series data on public debt with 40 variables, it starts on January 1994 and ends on June 2011. I am loading the data into R using read.csv and the data looks ok when I do edit(dados): > dados<-read.csv("dadosR3.csv", header=T) then I tried making

We have two time series: the first is a series of weekly counts of isolates of RSV (respiratory syncytial virus) by pathology laboratories, and the second is a series of weekly counts of cases of bronchiolitis in young children presenting to hospital emergency departments. Bronchiolitis in young children is usually caused by RSV infection, and simple visual inspection reveals a very close

Hi keep your emails to R help, I do not offer private consultance and others could have different opinion how to solve your problem. Did you even try my suggestion? If not, why not? If yes in what respect it does not comply with your expectations. Cheers Petr From: niharika singhal [mailto:niharikasinghal1990 at gmail.com] Sent: Tuesday, October 10, 2017 2:34 PM To: PIKAL Petr <petr.pikal at

Dear List, This is an embarrassing question, but I can seem to make this work…How do I change the font size on the xlab and on the numbers shown in the x-axis on the time series plot below. The arguments cex.lab and cex.axis do not seem to be 'passing' to the plot function. plot(ts(rnorm(100), start=2004, freq=12), ylab="RQI", xlab="My X lab",

Hello All, Thank you in advance. I have looked up and down in the archives to see if I could find some help on moving the polygons to the background of a ts.plot. I've tried panel.first in the gpars(...) arguments and trellis.focus, but I get errors. Am I missing something easy here? Here is my script: ts.plot(tsdjia, tstenyield, gpars = list(xlab = " ", ylab = " ",

OK, this has to be simple but I've searched through help files, mailing list archives and well, everything I could think of, and still no luck. I simply want to change the x axis labels in a time series graph, from its default numbering (which starts at 1 and increments by 1), to values I have in another vector, "Year". It has to be a time series graph, I don't want to have to

Hi List, I have the following time series and i want to be able to plot it while having the x-axis running from 1998 to 2006 but in a bi-annual format So here is my example: x<-sample (10:100, 17) x<-ts(x, start=c(1998,1), frequency=2) plot(x) When I plot the ts it goes from 1998 to 2006 by 2years, when in fact i want it to go from 1998 to 2006 with the following form:1998 may, 1998

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 have a matrix as given below... year month day prec 1   1980    10   1 13.4 2   1980    10   2  0.0 3   1980    10   3  0.0 4   1980    10   4  0.0 5   1980    10   5  0.0 6   1980    10   6  0.0 7   1980    10   7  0.0 8   1980    10   8  0.0 9   1980    10   9  0.0 10  1980    10  10  0.0 11  1980    10  11  7.4 12  1980    10  12  5.4 13  1980    10  13  7.2 14  1980    10  14  0.0