similar to: replacing default axis labels on a plot

I issued the following command to obtain the std dev for each month. psd<-numSummary(Sal, groups=month, statistics=c("sd")) which resulted in > psd sd n NA 1 6.930340 9367 2319 2 7.847003 10827 1008 3 5.962308 12988 404 4

My x axis is a series of daily dates (e.g., 01/01/2000, 01/02/2000, etc.) from 2000 to end of 2008. The default only gives me 4 ticks. I want more. Why doesn't this work? sdate<-as.POSIXct(strptime(date,format="%m/%d/%Y")) plot(ppt~sdate,type="l",ylim=c(0,47),col=1,lwd=1,pch=16,ylab="Salinity, psu",xlab="Year",las=1,main="Duck Key

I have a set of 52 weekly values, one is the desired high lake stage for a week, and the other is the desired low lake stage for each week. It looks like this: week High Low 1 16 14.5 2 16 14.5 3 15.95 14.45 4 15.84 14.34 5 15.73 14.23 6 15.61 14.11 7 15.5 14 8 15.38 13.88 9 15.25 13.75 10 15.13 13.63 .... 52 15 13.5 I can plot out two nice curves

Having given myself carpal tunnel looking for answer to this ... I have a dataset each column of which has 12 rows in it. I created a variable 'z' as follows: z=1:24 Since I have a large number of these plots to make, and they are a bit complex, I want to want to reference the column I want to plot via a variable containing the name of that column. As follows:

On Mon, Apr 13, 2009 at 12:41 PM, Dan Dube <ddube-at-advisen.com> wrote: > i use tapply and by often, but i always end up banging my head against > the wall with the output. The proposed solution of Dan's problem posted on R-help was: > do.call(rbind,a) When I use this 'solution' I get 'ERROR: second argument must be a list'. So head on wall continues. My

I am helping a fellow worker get R up and running, and he has run into a peculiar problem I've not encountered in previous install situations. >From the Rconsole menu choice, he can set CRAN mirror to USA CA2, but when he selects "load packages" a very truncated list of packages appears (many packages don't appear at all). If he issues "chooseCRANmirror()" from the

I have a file, each column of which is a separate year, and each row of each column is mean precipitation for that month. Looks like this (except it goes back to 1964). month X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 1 1.600 1.010 4.320 2.110 0.925 3.275 3.460 0.675 1.315 2.920 2 2.960 3.905 3.230 2.380 2.720 1.880 2.430 1.380

What am I failing to understand here? The script below works fine if the dataset being used is DNase1 <- DNase[ DNase$Run == 1, ] per the example given in help(nlrob). Obviously, I am trying to understand how to use nls and nlrob to fit curves to data using R. #package=DAAG attach(codling) plot(pobs~dose) #next command returns 'step factor reduced below min factor

If you submit these lines, you end up with variable "vare.dis". I want to export vare.dis to csv. Stuck I am. library(vegan,logical.return = TRUE) #return=true verifies package is available library(MASS,logical.return=TRUE) #return=true verifies package is available data(varespec) #varespec is an example data file in the vegan package vare.dis <- vegdist(varespec)

Hello, I''m wondering if someone might be able to offer me a solution to the following problem that has so far stumped me. I''m trying to get the distinct months (and years) from a date field to display as a list in a view. For example, there might be a number of records stored with dates in the table ''headlines'': name date record1 21-09-2008 record2

Among those users of Primer, stress values greater than 0.3 are interpreted as "questionable". Using both isoMDS and metaMDS (vegan package), the stress values returned are much higher using my own data and using examples provided in R Help. For example Rstress = 8.3, and the stressplot r2 = 0.99 indicating (to me) that the ordination is OK. I am guessing that the "stress"

Hello, Is R very compatible with a Mac? A colleague of mine indicated that everyone he knows with a Mac has problems with R. What can you tell me about using R with a Mac. What do I need to download? I have downloaded the basic R package. Thanks, -- Tiffany Kinder MS Student Department of Watershed Science Utah State University tiffany.kinder@aggiemail.usu.edu [[alternative HTML version

Newbie here~ I've spent a ton of time on this, but have to admit I am stuck. I've tried various combinations of strptime and the package CHRON, but still can't get there. My simple task is that I want to plot salinity (S1 or S2) on y-axis and time on x-axis, but I want to use a lay-understandable representation of time (not Julian). If I use the following command, I can make a

Dear R-help: Does anyone know of a package in R that will do Welch's modified F-test for heterogeneous error variances? Are there other statistical techniques available in R that test the equality of means when homoscedastisity is violated? 't.test' does this in the pairwise sense when var.equal = TRUE. With best wishes and kind regards I am Sincerely, Corey A. Moffet Support

Dear R-Help, Does anyone know of a way to use CGIwithR in Windows? David Firth the author of CGIwithR states "It ought to be possible to adapt it for use also in conjunction with web servers running under Windows NT ... but the author has no plans for that." I have developed some applications in R that I would like to make available through a web interface using CGIwithR but at this

Dear R help, In the middle of my session, I started receiving the error message "bad value" regardless of what I entered. I had to close R and restart it. When the error occurred, I was creating basic lattice plots, with no other add-on packages running. I am running R through John Fox's XEmacs interface, XEmacs version 21.4.20 on a Windows XP Pro machine with 2 GB of RAM. I have

I am creating a blog to learn ruby on rails. from the layout page i pass all the posts as a collection to _archive.rhtml <%= render :partial => "archive", :collection => @archive %> On _archive.rhtml i have access to the collection. I am then gone to render partial another page _archivecount.rhtml to display the number of posts for each month. Can anyone give a clue

Dear HelpeRs: I have a data set in the following format, which will be familiar to those of you working with NCDC climate data. Example: Year <- rep(1:3, each = 3) Year <- c(Year,Year) ID <- rep(1:2, each = 9) Jan <- runif(18, min = 0, max = 20) Feb <- runif(18, min = 0, max = 20) Mar <- runif(18, min = 0, max = 20) var <- gl(3,1,18,label =

Dear exports,I have created a hypsometric curve (area-elevation curve) for my watershed by using simple command hypsometric(X,main="Hypsometric Curve", xlab="Relative Area above Elevation, (a/A)", ylab="Relative Elevation, (h/H)", col="blue")It plots the hypsometric curve in "RGraphics window", My question is how can I export values which is used

Good morning and I appreciate the availability of a help-list. I am a professional hydrologist, but not a professional statistician. Yet I find myself using statistical tools at least part of the time. My discovery of the R-project through a friend has been most helpful. Here is my problem: I'm tasked with fitting a dataset comprising correlated discharges from adjacent watersheds to