similar to: R command to compare two vectors?

First, the reproducable example, showing how converting from character to POSIXct to character changes the milliseconds in the first time stamp though not in the second: > as.POSIXct('2010-06-03 9:03:58.324') [1] "2010-06-03 09:03:58.323 PDT" > as.POSIXct('2010-06-03 9:03:58.325') [1] "2010-06-03 09:03:58.325 PDT" This seems to be due to truncation of

Folks, I've been running into an odd situation that occurs when I use length() function with aggregate(), but not with either one separately. Together, the results looks correct but is given an unexpected name. 'if (stringsAsFactors) factor(x) else x' instead of just 'x'. # Numbers work ok tt <- data.frame(idx=c(1,1,1,1,1,1,2,2,2,2,2,2)

Folks, Updating values in a table is simple in SAS or SQL, but I've wracked my brain looking for an elegant solution in R to no avail thus far. Certainly this is a common need that's been solved in dozens of different ways. Given an initial dataframe nn and a smaller dataframe of updates uu, I'd like to replace the values in nn <- expand.grid('a'=1:4, 'b'=1:3)

Folks, I'm checking the structure of a dataframe for duplicate parameters at a site station (i.e depth should be measured once, not twice), using aggregate to count each parameter within a site station. The fake data below has only 26000 rows, and takes roughly 14 seconds. My real data has 750000 rows and I had to stop execution after about an hour. The by() function is faster, but I

Dear R-help list users, I have a huge vector of numbers, how I can invert orden? For example x <- 1:10000000 I would like to obtain x_r <- 10000000:1 Thanks, Sebastian.

Hi, I first should say I am new to R. I have searched without success the R-archives to see if I could find an answer to what I am about to ask you. My dataset is like: x fine 1 A 2010-12-09 07:57:33 2 B 2010-12-09 08:05:00 3 C 2010-12-08 20:42:00 ... that is: 'data.frame': 3 obs. of 2 variables: $ x : Factor w/ 3 levels "A","B","C":

HI everyone, I''m trying to assign colors to multiple lines in a graph. Problem is I don''t want to type in as many colors as there are lines....is there a way around this? In brief, I''m plotting the logratio for up to 60 samples and want a different color for each sample. Here is the code I''m using now.. Any help is greatly appreciated.. Best LT data <-

Hi R folks, I'd like to announce several new R users groups here in SF, LA, NYC, and Ottawa - as well as their next scheduled event. The goal of these user groups, besides gently explaining 'drop=TRUE' to the uninitiated, is to exchange knowledge, promote best practices, and spur the adoption of R for innovative applications. If I've missed any groups here, please feel to add on

OK, this should be trivial but I'm not finding it. I want to compress the test, if (i==7 | i==10 | i==30 | i==50) {} into something like if (i in c(7,10,30,50)) {} so I can build a "excludes" vector excludes <- c(7,10,30,50) and test if (i in excludes) {} However, I'm not finding a clue on how to accomplish this, if it can be done. Would someone with more R

Can anyone tell me why I would get different average nearest neighbor values for the same set of coordinates between ArcGIS 10 and R? Sometimes the difference in distance is over 1.3 km. Alexis -- View this message in context: http://r.789695.n4.nabble.com/nndist-R-vs-ArcGIS-tp3442375p3442375.html Sent from the R help mailing list archive at Nabble.com.

Hi, I have two columns with data (both identifiers - it's an affiliation list) and I would like to delete the rows in which the observations in the second column have a frequency < 5 in the entire second column. Example: 1 a 1 b 1 c 2 a 2 b 2 d Let's say, I would like to delete the rows in which the observation in the second column has a frequency < 2 in

Hello! s<-"start"; e<-"end" middle<-as.character(c(1,2,3)) I would like to get the following result: "start 123 end" or "start 1 2 3 end" or "start 1,2,3 end" How can I avoide this (undesired) result: paste(s,middle,e,sep=" ") Thank you! -- Dimitri Liakhovitski Ninah Consulting www.ninah.com

Dear all, my colleagues and I have to write some R code for some of our projects. I would like to ask you help to organize us a little. a. Do you know if there is any system that can convert our R scripts to html pages with some nice dependency graphs (which functions calls which). b. Could you please suggest me an easy way to exchange the R code with my colleagues. I know about these version

Hi, I have a question about %in% and subsettin data frames. Say I need to keep ID 1,2,4,5, 10 from the data frame dat. I can do: dat <- data.frame(ID = 1:10, var = 1:10) someID <- c(1,2,4,5,10) subset(dat, dat$ID %in% someID) Is there a quick way to do the opposite, ie to do a subset that contains all ID but someID? Something like %not in%, which would *remove* lines with ID in

A sample of the data I have is: > head(sensor) logged_on accx accy accz compassx compassy compassz gyrox gyroy gyroz 1 1326561428000 -0.4602 0.8346 0.0936 0.145508 -0.350586 0.259766 59.617390 28.521740 59.617390 2 1326561428050 -0.4212 1.0452 0.1326 0.219727 -0.321289 0.241211 88.695656 27.478260 88.695656 3 1326561428100 -0.2496 1.3416 0.2886 0.214844 -0.326172

Hi Everyone, I recently have started using R again on a Linux box after spending several years on a Mac. Last I checked, the best way to use R was through EMACS using something like ESS. I remember that being serviceable but not always the most convenient. Is there anything comparable to the mac version of R with its built in console, editor, etc?? thanks! -- View this message in context:

Dear all, I have a dataset that looks like this: x <- read.table(textConnection("col1 col2 3 1 2 2 4 7 8 6 5 10"), header=TRUE) I want to rewrite it as below: var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0

Dear colleagues, This may be a question with a really obvious answer, but I can't find it. I have access to a large file with real medical record identifiers (mixed strings of characters and numbers) in it. These represent medical events for many thousands of people. It's important to be able to link events for the same people. It's much more important that the real record numbers

Folks, I've run into trouble while writing functions that I hope will create and modify a dataframe or two. To that end I've written a toy function that simply sets a couple of variables (well, tries but fails). Searching the archives, Thomas Lumley recently explained the <<- operator, showing that it was necessary for x and y to exist prior to the function call, but I haven't

I know R has a steep learning curve, but from where I stand the slope looks like a sheer cliff. I'm pawing through the available docs and have come across examples which come close to what I want but are proving difficult for me to modify for my use. Calculating simple group means is fairly straight forward: data(PlantGrowth) attach(PlantGrowth) stack(mean(unstack(PlantGrowth)))