similar to: column-plot of rainfall data

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

Hello, I'm doing some linear regression: >lm<-lm(osas~alp,data) >summary(lm) However, the Rsquared in the output of summary() is not the same as the "standard" Rsquared calculated by spreadsheets, and outlined in statistical guidebooks, being SSR/SSTO. The output says "multiple Rsquared", but it is no multiple regression... What's the difference? Thanks,

When I try to install the tinc RPM I am missing [root@relay buytaert]# rpm -vih tinc-1.0pre2-1.i386.rpm error: failed dependencies: libgmp.so.2 is needed by tinc-1.0pre2-1 [root@relay buytaert]# ls /usr/lib/libgmp.so.3 /usr/lib/libgmp.so.3 [root@relay buytaert]# rpm -qf /usr/lib/libgmp.so.3 gmp-3.1.1-3 This seems to be a too recent version. So I tried compiling it and got the following

hello, maybe a silly question, but how do you set a default directory of R, i.e. the place where R looks for source() files etc. at startup? R 1.5.0 on Mandrake linux 8.2 BTW, it seems that my doc-directory is crippled (a lot of files are lacking). A flaw of the mandrake 8.2-rpm's or a bad install? thanks! Wouter ---------------------------------------------------------------

In 2.4 there used to be a megaide driver for certain ata raid controllers. In 2.6 I can't access more than my /dev/hda , I can see my other 4, I can create filesystems on them, but I can't mount them Anyone knows how to use these on a 2.6 kernel (Centos 4.2) greetings Kris 00:02.0 RAID bus controller: Silicon Image, Inc. SiI 0649 Ultra ATA/100 PCI to ATA Host Controller (rev 02)

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

Hi, I'm a newbie in using R and I would like to have a few clues as to how I could compute and plot a distribution of daily rainfall intensity in different categories. I have daily values (mm/day) for several years and I need to show the frequency of 0-1, 1-2.5, 2.5-5, 5-10, 10-20, 20+ mm/day. Can this be done easily? Thanks, Etienne

I am a student doing my MSc Research Methods, i am working on my thesis research on analysing and modelling of crop failure risks due to drought in selected districts in Malawi. The analysis and modelling will focus on two crop stages of development: just after planting and flowering stages. I have rainfall, temperature, Relative humidity, wind speed, coordinate location data for the past 30 years

Dear List Members, I need a bit help about fitting some theoretical distributions (such as geometric, exponential, lognormal or weibull distribution) to the following *dry spell*, *wet spell*, *cycles (Wet-Dry or Dry-Wet)* from my meteorological (daily rainfall) data http://www.angelfire.com/ab5/get5/R.rainfall.txt only for rainy seasen (july - september) of 14 years only:

Hi @all, I am biting my nails with the following problem: I have a data set of daily rainfall measurements for the last 20 years. What I want to do is calculate the daily cumulative sum of rainfall but only for every year which means that the cumulative sum has to be reset each year. After the calculations I want to plot each year of cumulative rainfall as a separate line in one graph preferably

Hi, You might get more help from the R-sig-geo list, which is devoted to spatial topics. However. The *.asc file is an ArcGIS raster export format. You should use whatever the appropriate import commands are for your own gridded rainfall data. If you have a different format, you might or might not be able to import it directly with raster. ?raster will tell you more about the kinds of formats

Thank you Sarah and Mike for your explanations. My final objective is to produce maps (png image or any kind of extension I can import in LaTeX) where rainfall data are interpolated, using the Inverse Distance method or Kriging. My input file (pointfile.csv in the reported example) reports the station code, lat and long of the meteorological station and the rainfall value (which might be the

Dear R users, I need to produce rainfall maps using R. I know that this is possible, I looked though the web, I found the example below reported (the author is Andrew Tredennick). I would ask you if this is the most performing way to make rainfall maps; if yes would someone be able to give me an example of how file.asc and pointfile.csv should be? If no would somebody please show me another way

Fwiw the engine behind geom_raster needs explicit observation-per-row form for input (with no structural normalization), so conversion to points is perfectly proper here, albeit confusing in context. (It's closer to what graphics devices actually use ultimately, but the expansion is laid out very early in ggplot2 because there's no standard for intermediate forms.) Cheers, Mike On Wed,

Hi all, I am attempting to run PCA on a matrix (nrow=66, ncol=84) using 'prcomp' (stats package). My data (referred to as 'Q' in the code below) are separate river streamflow gaging stations (columns) and peak instantaneous discharge (rows). I am attempting to use PCA to identify regions of that vary together. I am entering the following command:

Fraunhofer and Thomson Multimedia release their new mp3pro codec and new licenseconditions for streaming mp3 : http://www.techreview.com/web/kiang/kiang060701.asp My comment is that the licensecharge isnt frighting compared to what we broadcaster pays in musicroyalties allready. Is this what you feared jack? :) -- Venlig hilsen/Kind regards Thomas Kirk ARKENA thomas@arkena.com

Hello, sorry for my mail yesterday about the POSIXct problems. I was a bit tired and now I found out the real problem. When importing time data over a daylight saving time shift, R shifts two times. I don't now whether it is a bug or a (wrongly used) feature If you execute the following code: -------------- test<-c("31/03/2002 0:00", "31/03/2002 0:15",

Following Luke''s very successful Puppet talk at GLLUG in London, which was so over-subscribed there were people queueing outside and pressing their little faces up against the glass, I wonder if the market will bear a London Puppet meet? If there are more than two or three people interested it might be worth arranging something, perhaps a pub session where we can talk about what

Hi list, there always seem to be a small margin between the actual plot and the axes/box around the plot. For instance, in plot(c(0,1),c(0,1)) the 2 points do not lay on the box around the plot but slightly more to the center. Which parameter controls this margin and is it possible to eliminate it? thanks, Wouter

We're trying to setup a dual-primary DRBD environment, with a shared disk with either OCFS2 or GFS. The environment is a Centos 5.3 with DRBD82 (but also tried with DRBD83 from testing) . Setting up a single primary disk and running bonnie++ on it works. Setting up a dual-primary disk, only mounting it on one node (ext3) and running bonnie++ works When setting up ocfs2 on the /dev/drbd0