similar to: read.table truncated data?

Hi R users, suppose I have two vectors, > x=c(1,2,3,4,5) > y=c('a','b','c','a','c') How can I get a data.frame like this? > xy count a 5 b 2 c 8 I know a few ways to fulfill the task. However, I have a huge number of this kind calculations, so I'd like an efficient solution. Thanks -- Best, Zhenjiang

Hi, For example, the data.frame like: origdata.long <- read.table(header=T, con <- textConnection(' subject sex condition measurement 1 M control 7.9 1 M first 12.3 1 M second 10.7 2 F control 6.3 2 F first 10.6 2 F second 11.1 3 F control 9.5 3

Hi R users, I have a list: > x $A [1] "a" "b" "c" $B [1] "b" "c" $C [1] "c" I want to convert it to a lowercase-to-uppercase list like this: > y $a [1] "A" $b [1] "A" "B" $c [1] "A" "B" "C" In a word, I want to reverse the list names and the elements under each

Hi, I have a file like this: 1 2 0.1 2 3 0.2 3 1 0.3 And I want to read it to create a matrix like this: [,1] [,2] [,3] [1,] 0 0.1 0 [2,] 0 0 0.2 [3,] 0.3 0 0 How can I do it efficiently? Thanks. -- Best, Zhenjiang [[alternative HTML version deleted]]

Hi, I have a for loop to make 2 types of plots and I'd like to save one type of plots to a pdf file and the other to another pdf file. How can I control which plot will be saved to which pdf? Thanks -- Best, Zhenjiang

Hi all, Suppose I have 2 data.frame , a and b, how can I add them together to get c? Thanks > a A a 1 b 2 c 3 > b A a 6 c 1 > c A a 7 b 2 c 4 -- Best, Zhenjiang [[alternative HTML version deleted]]

Hi R users, Suppose I have two lists and the names of list 'm' are a subset of those of 'n', how can I sum the two lists with corresponding elements added together to get list 'o'? > n = list("a"=1,"b"=3,"c"=5) > m = list('b'=4) > o $a [1] 1 $b [1] 7 $c [1] 5 Thanks -- Best, Zhenjiang [[alternative HTML version

Hi all, When running R interactively, I have the problem as following: > library(ggplot2) Loading required package: reshape Loading required package: plyr Attaching package: 'reshape' The following object(s) are masked from 'package:plyr': round_any Loading required package: grid Loading required package: proto > data(VADeaths) > pg <- ggplot(melt(VADeaths),

Hi all, I have a list x: ?> x=list(a=c('1','2'),b=c('2','3'),c=c('1','2'),d=c('2','3')) I can get the unique elements with unique(), but how can I get the number of duplicates for each unique elements? > unique(x) [[1]] [1] "1" "2" [[2]] [1] "2" "3" Thanks -- Best, Zhenjiang

Dear R users, I am trying to use the following code to make a barchar plot. The bars in the plot turn out to be a little narrow. Is there any way to modify the width of the bars? Thank you! library(lattice) scores = gl(2, 5, label=c('Sensitivity', 'PPV'), length = 100) sequences = gl(5, 1, label=c('Lemna minor', 'Dugesia japonica A', 'Gymnosporangium

I'm writing a package that interfaces to the FAME database, via a library of compiled C routines accessible through a Linux .so file. My .onLoad() function loads the .so like this: dyn.load("/opt/fame/timeiq/lib/linux_x86/libjchli.so", local = F) and after that I also load my own fame.so via library.dynam("fame", package = "fame") The code in fame.so uses

Hi R users, where can I find the equations used by acf function to calculate autocorrelation? I think I misunderstand acf. Doesn't acf use following equation to calculate autocorrelation? [image: R(\tau) = \frac{\operatorname{E}[(X_t - \mu)(X_{t+\tau} - \mu)]}{\sigma^2}\, ,] If it does, then the autocorrelation of a sine function should give a cosine; however, the following code gives a

R experts, Is there anyway to reorder inside each group? In the following example, the bar of year 1932 is always plotted before the bar of year 1931, may I change the order inside each groups of bars? library(lattice) barchart(yield ~ variety | site,data=barley, groups = year, layout = c(1,6),auto.key = list(points = FALSE, rectangles = TRUE, space = "right"),ylab = "Barley Yield

Dear All, I wonder whether anyone has an experience with FAME package written by Jeff Hallman. All my attempts to send him the following problem report did not succeed (the mail system says that my e-mail could not be delivered), so I turn for help to this list. I tried to use your FAME package written for R, but somehow I cannot get it working. I am using Windows XP and the newest R

My fame package has a function that checks to see if a FAME SERVER process is already running. On Linux, I can do this in one of two ways: pid <- Sys.getpid() user <- Sys.info()["user"] cmd <- paste("pgrep -fU", user, "-P", pid, "'FAME SERVER'") fameRunning <- as.logical(length(system(cmd, intern = T))) or I can use cmd

My fame package has to link to the libchli.so that comes with FAME. However, FAME is now supplying both 32 and 64 bit versions of the library. The 32-bit version is $FAME/hli/libchli.so while the 64-bit version is $FAME/hli/64/libchli.so. To set the right flags, it seems that I need to know, from within configure.ac, whether the R installation is 32 bit or 64 bit. Is there a way to detect this?

I would like to create a binary package for Windows which when installed will give the user an option of whether to install one version or another. Here is the problem, I have a package 'FAME' that can run in two different modes on Windows. An old mode that uses R to connect to a remote linux machine and a new way that uses a locally installed database. I would allow this decision to be

Hello list member: I've recently had a problem in that I'm unable to quit an R Session. I noticed this after the update to 2.8.0, but I believe I also noticed it on another machine, in the previous version. It occurs on both linux and Mac platforms. It only occurs when I start R in some particular workspaces that have alot of objects in them; it does not occur if I start R in an

I have found several instances where rsync refuses to copy a new file. I am using it to sync changes from a staging web server to production servers, and there are certain files that it just plain won't copy. The file is totally new. No such name has ever existed on the target server(, or on the source server until now). In this instance, I added 3 completely new files to the same

Hello, helpeRs, I've been trying, unsuccessfully, to change a dataframe from long to wide format using reshape (the original). I would appreciate it if someone could demonstrate the correct syntax. The script below will create a toy example. The new wide data should have a column name for each unique entry in the "fame" column. Under each column should be either the