similar to: Remove duplicated rows

Hi all, I have imported a value 3:00 from Excel into R using read.csv. I want R to recognise it as 3:00am (time data). How do I do it? Thanks in advance, Chris -- View this message in context: http://n4.nabble.com/R-treating-time-tp1008608p1008608.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I have a dataset which consists of 2 columns. I'd like to plot them on a x-y scatter plot and fit an exponential trendline. I'd like R to determine the equation for the trendline and display it on the graph. Since I am new to R (and statistics), any advice on how to achieve this will be greatly appreciated. Many thanks, Chris -- View this message in context:

Hi all, I have written a note near each of my graphs using mtext. mtext(text,side=1,line=4,cex=0.5,adj=0) Then I have exported the graphs as a PDF file. pdf(file=name,paper='a4',width=7.27,height=10.69) The mtext appears OK in R. But it looks like it is bolded in the PDF file. http://n4.nabble.com/file/n2016971/graph.png I am not sure if this is actually my monitor/computer's

Hi everyone, I have written a script which exports my graphs as a PDF file using the function pdf(). For instance, I run the script and it exports a PDF called "version 1". Then, I have got a new dataset and want to run the script again. What it usually does is overwriting "version 1". But I want it to check if "version 1" already exists. If so, then I want the new

Hi all, I have got 27 graphs to export (not a lot...I know!). How can I fit all of them into a single file like PNG without adjusting the size of the graphs? What's in my mind is like pasting graphs into Word, in which I can just scroll down to view the graphs. Thanks for your attention. Much appreciated. Chris -- View this message in context:

Hello, I have a large data frame (1006222 rows), which I subject to a crude clustering attempt that results in a vector stating whether the datapoint represented by a row belongs to a cluster or not. Conceptually this looks something like this: Value Cluster? 0.01 FALSE 0.03 TRUE 0.04 TRUE 0.05 TRUE 0.07 FALSE ... What I'm looking for is an efficient strategy to extract all

Hi all, I have got a dataset like the following: a b c 1 5 2 3 7 I am taking the minimum of each column and use it as the minimum of the y-axis of my graphs. My scripts (simplified version) are like the following: f<-array f[1]=a f[2]=b f[3]=c for i in 1:3 name=f[i] ymin<-min(dataset$f[i]) plot(x,y,ylim=c(ymin,100)) The script stops at b, because the min function returns inf

There are a couple of points to keep in mind when doing a log-transform of an exponential model, such as -- y = a*exp(b*x) 1. The implicit statistical model is multiplicative in the error. The implied statistical model of the log transform is -- log(y) = log(a) + b*x + u which implies -- y = a*exp(b*x)*exp(u) A linear regression in the log

Hi all, I am new to R and I have got a question in regards to factors. Say I have a simple dataset like the following: Name Time Value a 1:00 1.25 a 2:00 1.26 b 1:00 1.29 b 2:00 1.28 c 1:00 1.21 c 1:30 1.20 c 2:00 1.23 I want to write a script that automatically plot value against time for a, b and c.

Dear all, How can I get the duplicated elements from a vector? For example, x <- c("yes", "no", "yes", "yes", "no", "not sure"), how can I filter out all the elements which occured >=2 times? Thanks for any help! Regards, Leon

Hi, I wonder if anyone has written any code to implement the suggestions of Smart et al (2004) in the Bulletin of the Ecological Society of America for a new way of graphically presenting the results of logistic regression (see www.esapubs.org/bulletin/backissues/085-3/bulletinjuly2004_2column.htm#t ools1 for the full text)? I couldn't find anything relating to this sort of graphical

My two lists look like below Need an R code example that combines the two. l_one "key" 2 1 2 l_two "ndx", "descr" 1, "this" 2, "that" 3, "other" 4, "finis" My goal is a new list that looks like below. ndx descr 2 that 1 this 2 that Thanks, Jim

library(xts) library(TTR) ndx = getYahooData("^NDX") aa = ndx$Close bb = aggregate(aa, as.yearweek, tail, 1) The last operation takes forever, and then the bb dates are messed up. The following produces the desired result: time(aa) = as.Date(time(aa)) bb = aggregate(aa, as.yearweek, tail, 1) The index of ndx and aa is of POSIXct (as reported by is(time(ndx))) , which apparently

I want to create a data.frame of time and date for a year. I started with the idea of simply producing two vectors (time and date) The first part ( time) is easy. rep(1:24, 365) But how do I get a series of 24 dates for O1 January 2005 and repeat this to 31 December 2005. It should be easy but I don't see it. Thanks

CC llvm-dev ---------- Forwarded message ---------- Hello Duncan The size of ARM binaries created by clang has increased after r236642. Would you be able to find some time to look at my findings and share your thoughts about the problem, please? r236642 prevents emitting of temp label names into object files to save memory. This is fine, the label names do not appear in the resulting binaries.

Hi All, I think i'm failing to undersatnd how aggregate() is supposed to work. example: test1<-sample(c(0,1),100,replace=T) test2<-sample(letters,100,replace=T) aggregate(test1,list(test2),sum) Error in data.frame(w, lapply(y, unlist, use.names = FALSE)) : arguments imply differing number of rows: 26, 0 I thought this would give me a list containing the number of ones that

Dear list, I would like to export a matrix to a TXT-File by using write.csv (not necessarily). Is there a way to add a header (with additional informations concerning the project) spanning multiple lines to this file before the actual data are listed up? Should look like this: date: filename: number of permutations: ------------ data (as a matrix) Any suggestions? Thnx in advance.

Hi all, Im a little bit confused concerning the effect() command, effects package. I have done several glm models with family=quasipoisson: model <-glm(Y~X+Q+Z,family=quasipoisson) and then used results.effects <-effect("X",model,se=TRUE) to get the "adjusted means". I am aware about the debate concerning adjusted means, but you guys just have to trust me - it

Hi everyone, I have been searching for answers for the following questions but I don't have much success. The following questions may actually be quite simple. Any help would be greatly appreciated. (1) I have written a script which requires user input. I am using the readline() command.However, everytime when I run the script, R does not wait for the user input and proceed to the next line.

Hi all, Reading the wikipedia page on R, I stumbled across the following: http://fluff.info/blog/arch/00000172.htm It does seem interesting that the C execution is that much slower from R than from a native C program. Could any of the more technically knowledgeable people explain why this is so? The author also have some thought-provoking opinions on R being no-good and that you should write