similar to: High frequency time-series

Hello, I'm looking for a way to plot different data series on one graph. I have a series of hourly rainfall and quarterly flow measurements (i.e. 4 times an hour) of a catchment. The rainfall should be plotted in bars, the flow as a line. Both on the same X axe (time) but with different Y axes. The problem is the plot() function does not support add=TRUE... Furthermore I'm not sure

As an R absolute beginner and an expert (very old) statistician and latex user, I'm interested in using R to produce AUTOMAGICALLY tables in latex format. I mean I would like to have the means to build an R procedure generating **FROM INSIDE** a table or a graph to be inserted directly into latex. I've read http://hesweb1.med.virginia.edu/biostat/s/doc/summary.pdf where the author speaks

As an absolute beginner, still reading "Modern Applied Statistics with S" and exercising with its examples, I'm frequently stopped by what it looks to be R poor help system (or is it my gigantic ignorance?). I mean that using help many arguments of a command seems to be given for granted like for instance: ............................... ?lines lines(x, ...) ## Default S3

I'm learning R from scratch on my linux box, being deeply biased at work by those graphical programs, nice to look but often poor in content and almost generally limited, running under M$ Windows. I wonder if someone out there can suggest to an absolute beginner as I am where to find a collection of examples of R-code (or Splus, as I understand) to play with in order to learn R quicker. The

I'm trying to use ESS & xemacs under debian linux testing and KDE. My problem is that I didn't find any document in the internet explaining a **step by step** session with R and xemacs. The (wrong) procedure I follow (to no avail!) is: 1) I start R in a terminal window; 2) I start xemacs and open a file with the extension .R (test.R); 3) I issue M-x R RET and I can see an Rd new

Reading "Modern Applied Statististics with S" and trying the corresponding examples both in the book and in ../lib/R/library/MASS/script, I'm now trying chapter 4 plotting bars with the following code on a linux box with R 1.8.1: ---------------------- library(MASS) library(lattice) options(echo=T, width=65, digits=5) lung.deaths <- aggregate(ts.union(mdeaths, fdeaths), 1)

As an R absolute beginner when I update my R 1.8.1, after installing the packages I see the various updated commands orderly running in a table on the screen where, among other things, "latex" and "example" are indicated. 1) Being an old user of latex what **exactly** the "latex" label on a command mean and how, in what context, can it be used? 2) How can I see the

I'm reading Ripley-Venables "Modern Applied Statistics with S - Fourth edition" , at the same time trying the examples proposed in the book using R 1.8.1 under linux. Now I'm trying the following code from the book (example code of spatial statistics at page 76) with R : | data(topo) library("spatial") topo.loess<-loess(z ~ x * y, topo, | degree= 2,span=0.25) |

I like the fact that the postscript function enables the possbiility of a more useful title than before. However, I'd prefer the default to be the file name. It's very simple for me to make my own postscript function that does just that simply by setting title = file. I always use onefile = TRUE, so it always works (so far). However, I'm a little reluctant to do that in case some

I like the fact that the postscript function enables the possbiility of a more useful title than before. However, I'd prefer the default to be the file name. It's very simple for me to make my own postscript function that does just that simply by setting title = file. I always use onefile = TRUE, so it always works (so far). However, I'm a little reluctant to do that in case some

As an absolute beginner I'm reading and practicing with the Verzani doc to learn R. Now, being an expert latex user who wants to integrate graphical capabilities if R and latex, using the "Simple" library and the simple.scatterplot examples I had a go at: 1) Including the resulting graph into a doc.snw then compiled through sweave & latex; 2) Produce the graph in pdf format

I wish to make modifications to the plot.pedigree function in the kinship package. My attempts to contact the maintainer have been unsuccessful, but my question is general, so specifics of the kinship package might not be an issue. My first attempt was to make a new function Plot.pedigree in the .GlobalEnv which mostly achieved what I wanted to. However, I'm sure that's not the tidiest

Hi I think I have been struggling to use replace correctly, I usually work my way around this using a loop, but I think this is in fact inefficient. I have a dataset with runoff from three plots and associated rainfall. However either the datarecording was sloppy, or the rainfall very patchy. So I am trying to remove data from my dataset for which the runoff is larger than the rainfall on the

Hello R users, I'm a newby to R (and programming software at large) and I would need some help to sum up event data at discreet time and irregular time interval into a hourly frequency. Here is an example of my time series frame (irregular time-serie object - irts in the tseries package): time value 2008-12-19 19:11:03 GMT 1 2008-12-19 19:12:00 GMT 0 2008-12-19

Updating my 1.8.0 R installation (>update.packages() ) I obtain the following (SORRY FOR THE LENGTH OF THE LOG BUT IT HELPS!!!): ................ downloaded 135Kb KernSmooth : Version 2.22-11 in /usr/lib/R/library Version 2.22-12 on CRAN Update (y/N)? y mgcv : Version 0.9-3.1 in /usr/lib/R/library Version 0.9-6 on CRAN Update (y/N)? y trying URL

Full_Name: Dr. Bernd Winkler Version: 1.2.2 OS: Linux Submission from: (NULL) (194.59.179.176) Hi all, having updated to version 1.2.2 last week I experienced some strange behaviour of the hist function. I want to plot a histogram of frequencies resp. counts, for example poisson random numbers, on a predefined and fixed x scale > hist(rpois(500, 2), breaks=0:10) But instead of the

I have a Mac OS X system. To deal with a long monthly electricity demand time-series I use the procedures TRAMO/SEATS with the MS-windows only Demetra programme and X12 under R resorting to the awkward - as far as the output is concerned - x12 R package running the relating Fortran code. I wonder if someone out there has attempted to translate TRAMO/SEATS and X12 into R native language? Ciao

Hi, Does anybody encounter the same problem when we overlap histogram and density     that the density line seem to shift to the right a little bit?           If you do have the same problem, what should we do to correct that?           Thank you.           par(mar=c(4,4,2,1.2),oma=c(0,0,0,0))     hist(datobs,prob=TRUE, main ="Volume of a catchment from four    

I have a time series of rainfall in a dataframe. I would like to be able to aggregate this using a sliding window approach- i.e. a new 24 hourly total is calculated for each hours rainfall. I'm struggling to understand how this might be achieved - currently I've tried looping a sum function to re-calculate a new total at every stage of the loop. for (inp[[9]] in

Working - among other things- in the field of (short & long term) electricity forecast, we are now using too many & too expensive pieces of licensed software: SAS, SPSS, EViews. This "sedimentation" is due to the fact that my predecessors in the past used different consultant companies to manage each procedure. Having attended the useR2004! Conference with the aim of assessing