similar to: plot continuous data vs clock time

Dear R users, I see a graph (shown athttps://cid-c486ebef16722625.photos.live.com/self.aspx/%e6%88%91%e5%96%9c%e6%ac%a2%e7%9a%84%e8%8a%b1/untitled.bmp) in a published paper, which is very informative and clear. But I don't know what type the graph is. It looks like a sactter plot but has the points with the same y values are seperate.. I really aprreciate it if someone can tell

Dear R users, I am a new R user. My problem is very simple: I want to add a linear regression line to the plot(type="p"), codes are as below: x<-c(10,20,40,80) y<-c(30,40,100,200) plot(x,y,type="p") lines(lm(x~y),col="red",lwd=1.5) I got only plot without linear line. Many thanks ahead for your advice! Xipei Wang [[alternative HTML version deleted]]

Hi, I am trying to use rect (R2.11) to plot a set of data as following > data Company Pt Pri Pub 1 A WO520 8/5/09 2/11/10 2 B WO893 7/30/03 2/24/05 3 A WO258 12/8/08 6/17/10 4 C WO248 1/13/09 9/2/10 pri<-

I experienced the following problem with R 1.3.0 which is probably a bug. The program hangs-up if 1.) a coordinate of segments is outside the ploting region and 2.) the option log="x" is used. ## ## works fine ## plot(1,1, xlim=c(0.5, 2), ylim=c(0.5, 2)) segments(0.5 , 1.2, 1, 0.6) segments(0.25, 1.2, 1, 0.6) segments(1 , 1.2, 1, 0.6) ## ## hang-up ## plot(1,1, xlim=c(0.5, 2),

I am having a problem with a gantt chart since moving to R2.4.0. from 2.3.1 I made some adaptations to the code from http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=74 and successful produced a simple gantt chart. However when I upgraded to 2.4.0 it no longer works as desired. See http://ca.geocities.com/jrkrideau/R/gantproblem.pdf for the two charts. The charts were produced

Hi: I need some help. I am ploting a bar graph but I can't adjust my x axis scale I use this code: i <- qplot(ForkLength,Number,data=FL,geom="bar") i + geom_bar(colour="blue",fill="grey65") # too crowded FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + geom_bar(colour="green",fill="grey65") FL_dat +

Hi All, I am attempting to work with some data from loggers. I have read in a .csv exported from MS Access that already has my dates and times (in 24 clock format), (with StringsAsFactors=FALSE). > head(tdata) LogData date time 1 77.16 2008/04/24 02:00 2 61.78 2008/04/24 04:00 3 75.44 2008/04/24 06:00 4 89.43 2008/04/24

Hi Gabor and everybody; Thanks Gabor, with the alternative step you've told me the problem is resolved. Comparing the two procedures: Extract from the source 'character' data: > rain$ts[2039:2046] [1] "25/03/2000 22:00:00 UTC" "25/03/2000 23:00:00 UTC" [3] "26/03/2000 00:00:00 UTC" "26/03/2000 01:00:00 UTC" [5] "26/03/2000 02:00:00

I think the following examples illustrate the crux of the matter (version and OS info are below). The problem has to do with the transition from standard time to daylight savings time. My timezone, US/Pacific, has two parts: standard time (PST) 8 hours behind GMT and daylight savings time (PDT) 7 hours behind GMT. The transition takes place this year on 7 April at 02:00, when 02:00 is

Dear all, I have a data set containing GPS fixes of animal locations. To check that the GPS's are working properly, I would like to plot the time of the fixes (y-axis) against the date of the fixes (x-axis). If all works well, the plot should show four regular fixes per day. The x-axis should be labelled with month/year (i.e. 11/04) and the y-axis by hour from 00 to 24. I would like to

I am trying to use POSIX datetime objects rather than chron datetime objects but am having difficulty with POSIX in a time series. My question: Once a POSIXct vector is bound to a time series, is there a function to convert back to POSIXct? The following code demonstrates what I am trying to do. > ts(as.POSIXct(strptime(tmp,"%m/%d/%Y %H:%M:%S")),freq=1440) Time Series: Start =

Dear R-users, actually i try to parse some state protocols for my work. i an easy stetting the code below works fine, if states are reached only once. in harder settings it could be possible that one state gets visited more times. in this case for me its interesting to see how much waiting time lies between to states on the whole. by the way i didn't use R as a parsing tool so far, so

There is something wrong, I think, with the date-time conversion from a numeric value if you use Central European Time (CET) as timezone. Examples from R: If I use the GMT time zone it is OK, I get the same time back from as.POSIXct as I entered > as.POSIXct(as.numeric(strptime("30/01/2012 13:00:00", format="%d/%m/%Y >

Hi All In trying to correlate some tide gauge data I need to deal with varying timezones. From the documentation on strptime, it seemed that the tz variable might have some effect on the conversion, but I'm not seeing an effect. > strptime("20061201 1:02 PST",format="%Y%m%d %H:%M",tz="PST")+0 [1] "2006-12-01 01:02:00 EST" >

I'm sure this is just the result of a basic misunderstanding of the syntax of R, but I am stumped. A <- read.table(file="sumByThirtyMinute.csv",sep=",",col.names=c("date","pandl")) A now consists of thousands of rows, but A$date is a string... ... 3183 2006-02-28 12:00:00 548.470 3184 2006-02-28 12:30:00 515.240 3185 2006-02-28 13:00:00

Hi all; I've already send a similar e-mail to the list and Prof. Brian Ripley answered me but my doubts remain unresolved. Thanks for the clarification, but perhaps I wasn't clear enough in posting my questions. I've got a postgres database which I read into R. The first column is Timestamp with timezone, and my data are already in UTC format. An 'printed' extract of R

Hello r-experts, I sure could us a little help. I have an ever updating text file with timestamped data in it. I can reformat in anyway I want if need be but currently I have chosen to make columns of date, time and measuresed value (comma delimeted and with the dates and times in quotes to interpret them as strings). Here is a small section of my text data file:

Hi all, I'm having difficulty converting a 'dates' object to a POSIXct object: testDATES<-c(35947,35971,36004,36008,36053,36066) testDATES<-chron(dates=testDATES, format = c(dates = "m/d/y"), origin=c(month = 12, day = 30, year = 1899)) >[1] 06/01/98 06/25/98 07/28/98 08/01/98 09/15/98 09/28/98 > as.POSIXct(testDATES) [1] NA NA NA NA NA NA

Dear R: I'm trying to map some time series data on to dates and because I'm using R's "strptime' facility I get an hour's break in my time series: my readings for between 1am and 2am on 27th March 2005 won't map onto anything (I'm using a data logger to record temperature and other things in a forest). As far as I know, the clock's didn't change on 27th

Hi. I'm trying to take the difference in days between two times. Can you point out what's wrong, or suggest a different function? When I try the following code, The following code works fine: a <- strptime(1911100807,format="%Y%m%d%H",tz="GMT") b <- strptime(1911102718,format="%Y%m%d%H",tz="GMT") x <- difftime(b, a,