search for: hydrologie

Displaying 9 results from an estimated 9 matches for "hydrologie".

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2008 Jun 25
1
confidence bounds using contour plot
..., pch=19, cex=0.5) contour(kerneld, levels = confidencebound, col="red", add = TRUE) -- How can I calculate the right contour containing 95% of the values? Thank's for your help. Pascal R 2.7.0, Win XP -- Pascal H?nggi Universit?t Bern Geographisches Institut, Gruppe f?r Hydrologie Hallerstrasse 12 CH-3012 Bern +41 (0)31 631 54 71 pascal.haenggi at hydrologie.unibe.ch http://www.hydrologie.unibe.ch --
2007 Apr 19
1
read.table with more than one sep
Dear List, somebody knows, if the following operation can be done in an easier way? The data rows which should be read into R look like that: 4547;1970.01.01 00:00-1970.01.01 01:00; noData Unitil now we are doing this procedure: 1. Dividing columns which are separated by ";" => temp <- read.table(file ,sep=';', na.strings='noData', strip.white=TRUE) =>
2010 Dec 08
2
piechart
...","M","A","M","J","J","A","S","O","N","D"),clockwise=T) points (0,0,col="black",cex=20,pch=1 -- ------------------------------------------------- UDATA Umweltschutz und Datenanalyse Hydrologie, Klimafolgenforschung, Boden- und Grundwasserschutz Carl-Sch?ller-Str. 30 1/3, 95444 Bayreuth www.udata.de Tel. 0921/78638573 (Durchwahl) wendel at udata.de Firmensitz: Neustadt an der Weinstra?e Inhaber: Dr. J?rg Scherzer
2008 Apr 17
1
Moving from Splus to R: irregular and regular time series
...h packages have been developped separately and I don't see how I could specify time to be able to plot regular and irregurlar time series on the same graph --- if it is possible in R--. Thanks in advance for your answer Best regards Isabelle -- Isabelle BRAUD Cemagref Unit? de recherche Hydrologie-Hydraulique 3bis quai Chauveau CP 220 69336 Lyon C?dex 9 Tel: 04 72 20 87 78 Fax: 04 78 47 78 75 E-mail: isabelle.braud at cemagref.fr
2007 May 31
1
plotting variable sections of hourly time series data using plot.zoo
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
2009 Nov 04
4
read.table (again)
...that every 4 digits, a new number begins? I treif different things with "sep". data <- read.table ("RA19930101.txt",header=F,sep=) Thanks for your help again in this topic. Sybille -- ------------------------------------------------- UDATA Umweltschutz und Datenanalyse Hydrologie, Klimafolgenforschung, Boden- und Grundwasserschutz carl-Sch?llerstr. 30 1/3 95444 Bayreuth<< www.udata.de Tel. 0921/78638573 (Durchwahl) wendel at udata.de Firmensitz: Neustadt an der Weinstra?e Inhaber: Dr. J?rg Scherzer
2004 Nov 16
0
From S-Plus to R
...rent frequencies and even irregular time series. Is it still possible in R? Thanks in advance for your answers. Best wishes Isabelle Braud *************************************************************** Isabelle BRAUD Chargée de recherche au LTHE-Grenoble/CEMAGREF-Lyon CEMAGREF Unité de Recherche Hydrologie-Hydraulique 3 bis, Quai Chauveau, CP 220 69336 Lyon Cedex 9 Tel: 04 72 20 87 78 (from abroad 33 4 72 20 87 78) Fax: 04 78 47 78 75 (from abroad 33 4 78 47 78 75) E-mail: braud at lyon.cemagref.fr ou Isabelle.Braud at hmg.inpg.fr [[alternative HTML version deleted]]
2009 Apr 23
0
How to construct confidence bands from a gls fit?
...lines(as.numeric(time(LakeHuron)),predict(lm.hu,interval=c("conf"))[,3],lty=2,col=2) ## predict of the gls class does not contain confidence intervals lines(as.numeric(time(LakeHuron)),predict(gls.hu,interval=c("conf")),lty=1,col=4) Thank you, Maik -- Maik Renner Institut f?r Hydrologie und Meteorologie Technische Universit?t Dresden
2012 Mar 25
2
avoiding for loops
I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",