similar to: "Thermoisoplethendiagramm"

Is it possible to create a contour plot with the isolines labeled. I know you can do this with Matlab. Argh! I tried creating a filled contour plot, then using par(new=T), followed by overlaying the contour plot on top. However, the placement of the filled contour plot and the contour plot do not align correctly. Any suggestions would be appreciated. Thanks, Jon -- View this message in

Dear R users, I am working with netcdf data of NCEP/NCAR Climate Reanalysis. R does have capability to draw isolines using "contour". However, I need not to draw but to export contours in any vector format. Is it possible? Thank you.

Hi all, This seems like a basic problem, but no amount of playing with the code has solved it. I have a time-series data set like that shown below (only longer) and am seeking to plot the data with filled, circular points and error bars. I would like the error bars to be behind the points otherwise they tend to obscure the points (especially when I have a lot of points in the actual data set).

One of our clients has Asterisk with single T1 card (T100P). T100P gets only incoming calls. Is there a way to block specific channels (say channel 9 and 24) so that the Telco does not send calls on those channels? Thanks, -- sudhir

Hello, Are there any packages/functions available for testing the assumptions underlying assumptions for a good GLM model? Like linktest in STATA and smilar. If not, could somebody please describe their work process when they check the validity of a logit/probit model? Regards, Jay

G''day I''ve been performing an analysis of some data by a follow the leader method (Bad I know but it seems to work and I think I understand all the steps now) and I''ve run into a problem. The analysis is for all practical purposes identical to the non-linear mixed effects analysis performed on Ludbrooks Rabbit data in the second edition of Venables & Ripley (page

Hello, Is "Dos installer from Win98" REMOVED from Syslinux-5.00/syslinux-5.01-pre1? Prof S W Damle

OK, so maybe last night was a little too much at one throw, so I have reduced the data to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time =

----- Forwarded message from Zooko O''Whielacronx <zooko at zooko.com> ----- From: Zooko O''Whielacronx <zooko at zooko.com> Date: Sat, 21 May 2011 12:50:19 -0600 To: Crypto discussion list <cryptography at randombit.net> Subject: Re: [cryptography] rolling hashes, EDC/ECC vs MAC/MIC, etc. Reply-To: Crypto discussion list <cryptography at randombit.net>

Hi there, This problem has been dogging me for a bit, and I'm trying to figure out why. When running the the subsets function in the leaps library, R is giving me the following error message > lvodsub <- subsets(pred, resp$LVOD) Warning message: XHAUST returned error code -999 in: leaps.exhaustive(a, really.big = really.big) but this still happens if I add the really.big option:

I am sure there is something simple here I am missing, so please bear with me. It concerns the computation of the confidence interval for a population mean. The data are 125 measurements of Cs137 radation, a sample data set from Davis "Statistics and Data Analysis in Geology" 3rd ed. (CROATRAD.TXT) ------------------ method 1: using textbook definitions: mean \pm se_mean * t-value mu

Hi Is there a way to nail down the issue of high load on a server basically trying to understand the reason behind high load at a specific time period. I use top command but it does not have history. Nagios reports saying "*[04-25-2012 10:11:00] SERVICE ALERT: dev;LOAD;WARNING;HARD;3;WARNING - load average: 6.88, 6.36, 5.71"* * * Please help me understand. Regards Kaushal

I've a matrix like this: 1985 1.38 1.27 1.84 2.10 0.59 3.47 1986 1.05 1.13 1.21 1.54 0.21 2.14 1987 1.33 1.21 1.77 1.44 0.27 2.85 1988 1.86 1.06 2.33 2.14 0.55 1.40 1989 2.10 0.65 2.74 2.43 1.19 1.45 1990 1.55 0.00 1.59 1.94 0.99 2.14 1991 0.92

Hallo, I am totally confused why Excel and R give me totally different regression results for the data below. If you know the solution, please enlighten me. In Excel I used LINEST() and Data>Data Analysis>Regression and both (fortunately) gave the same result. The coefficients were: /b0=1.16, b1=0.957, b2=0.024, R2=0.0027, adjusted R2=-0.017/ In R I used

Hello Group, Looking for a little assistance on this as I have been unsuccessful is getting the shadow: snapprefix, shadow:delimiter and shadow:format to work as I expect. I have no issue with getting previous versions in Windows to show me either hourly, daily or weekly, etc snapshots as previous versions. But I owuld like to be able to expose all. The shadow:snapprefix, etc seems to be the

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

I''ve seen the problems with bug 6343667, but I haven''t seen the problem I have at the the moment. I started a scrub of a b72 system that doesn''t have any recent snapshots (none since the last scrub) and the % complete is cycling: scrub: scrub in progress, 69.08% done, 0h13m to go scrub: scrub in progress, 46.63% done, 0h28m to go scrub: scrub in progress, 6.36%

Dear all, I am exporting to latex a matrix via xtable. My matrix includes e.g. 4 rows and 4 columns. The first two rows containing real values(e.g. a laboratory parameter's mean value), and the two rows at the bottom containing only integers (number of cases). > mymat<-matrix(c(c(10.52,2.52,12.35,3.63),c(3.52,16.25,13.62,6.36),c(11,12,15,16),c(14,15,16,18)),4,4,byrow=TRUE) > mymat

https://bugzilla.samba.org/show_bug.cgi?id=11704 Bug ID: 11704 Summary: rsyncstats sorts dates wrong Product: rsync Version: 3.1.2 Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: core Assignee: wayned at samba.org Reporter: