similar to: Using processed objects as arguments of a function

Dear R users, I would like to create the following 3 folders (FUND1, FUND2, MARINE) within the 'parent.dir' as defined below. FUND1 <- "FD1 Q4 2009" FUND2 <- "FD2 Q4 2009" MARINE <- "MARINE Q4 2009" parent.dir <- "D:/....................." folders <- c("FUND1", "FUND2", "MARINE") for (i in

>Message: 11 >Date: Sun, 28 Aug 2005 11:46:29 +0800 >From: "chris" <chris@fivestartel.com> >Subject: [Asterisk-Users] error compiling on solaris 10 >To: "Asterisk Users Mailing List - Non-Commercial Discussion" <asterisk-users@lists.digium.com> >Message-ID: <003a01c5ab83$149a9e30$650fa8c0@acid> >Content-Type: text/plain;

Hi all, I just ran into a strange problem. When using the Equivalence-class Bottom-up Data Structure Analysis pass and pool allocation, I noticed some objects using different pool descriptors where I expected them to be in the same pool. We use svn revision 66285 of the DSA. The following 2 programs expose the problem. First the version that runs correctly, ie. producing a single DSNode.

Dear all, I have 9 data frames, and I'm simply trying to sum the values of column 3 (on a row-by-row basis). However, there are a slightly different number of rows in each data frame, so I'm receiving the following error: "Error in Ops.data.frame(mrunoff_207101[3], mrunoff_207102[3]) : ? + only defined for equally-sized data frames". Here is what I'm attempting to do:

Dear all, I am trying to make a series of waffle plot-like figures for my data to visualize the ratios of amino acid residues at each position. For each one of 37 positions, there may be one to four different amino acid residues. So the data consist of the positions, what residues are there, and the ratios of residues. The ratios of residues at a position add up to 100, or close to 100 (more on

[Q.] How to create an array of lists, or structures the most elegant way? There have been questions in the past but none too recently...I want to know if the following looks OK to you guys or if there is a better way to create an array of lists: # PREAMBLE ... JUST TO GET THINGS GOING makeList<- function(data, anythingElse) { rval <- list( data = data, anythingElse =

#Hello, #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles <- c(1,4,6,8) Y.Freq <- c(0.35, 0.35, 0.10, 0.20 )

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"),

On Sat, 2 Apr 2005, Ricardo wrote: > Hello, > I am trying to run a program optimized with the Pool Allocation, but I am receiving this error: > > ==================== > > *** 4 DYNAMIC POOLS INITIALIZED *** > > *** 4 DYNAMIC POOLS ALLOCATED FROM *** > > MaxHeapSize = 0.062500KB HeapSizeAtExit = 0.062500KB NOTE: only valid if using > Heuristic=AllPools and no

Hello, I am trying to run a program optimized with the Pool Allocation, but I am receiving this error: ==================== libpoolalloc.so: undefined symbol: _ZTIN4llvm16EquivClassGraphsE -load request ignored. *** 4 DYNAMIC POOLS INITIALIZED *** *** 4 DYNAMIC POOLS ALLOCATED FROM *** MaxHeapSize = 0.062500KB HeapSizeAtExit = 0.062500KB NOTE: only valid if using Heuristic=AllPools and no

I have hundreds of text files which has data like a data frame with three columns.The column names are same in all the files.I need to merge all files into a single big file. My files are like this file1 "new.col" "ppm.p." "freq.p." "1_3_diaminopropane" 3.13859 5.67516 "1_3_diaminopropane" 3.137 6.65388 "1_3_diaminopropane" 3.13541 8.0142

Dear All, I have written the following programs to find a non-singular (10*10) covariance matrix. Here is the program: nitems <- 10 x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <- try(solve(sigma), TRUE) while(inherits(inverse, "try-error")) { x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <-

Hi All, I am trying to get Asterisk up and running on my new Mandrake 9.1 install. I've installed Linux in the "standard" mandrake security mode, and "su" to do my attempts at install. I managed to obtain the source from CVS, and have been able to compile Zaptel. I then ran insmod zaptel, and also make config. I think I have compiled and loaded Zaptel successfully as

Hello, Does anyone knows how to deal with zero subscript in R. I have this code: for (i in 1:nitems){ + for (j in 1:ncat-1) { + draw<-matrix(rnorm(nitems*(ncat-1),seed1,seed2),nitems,(ncat-1)) + d<-( sigma_d*draw ) + mu_d + draw<-matrix(rtnorm((nitems*(ncat-1)),mean = seed1, sd = seed2, lower = .1, upper = 1.5),nitems,(ncat-1)) +

Hello, I?ve tried several times to learn R, but have never gotten past a particular gate. My data are organized by column in Excel, with column headers in the first row. The columns are of unequal lengths. I export them as CSV, then import the CSV file into R. I wish to summarize the data by column. R inserts NA for missing values, then refuses to operate on columns with NA. R is importing

I'm writing R code to calculate Hierarchical Social Entropy, a diversity index that Tucker Balch proposed. One article on this was published in Autonomous Robots in 2000. You can find that and others through his web page at Georgia Tech. http://www.cc.gatech.edu/~tucker/index2.html While I work on this, I realize (again) that I'm a C programmer masquerading in R, and its really

problem of the very large memory require by the Sign extension. --- R-2.5.0.orig/src/main/serialize.c 2007-03-27 01:42:08.000000000 +0900 +++ R-2.5.0/src/main/serialize.c 2007-06-25 00:48:58.000000000 +0900 @@ -1866,7 +1866,7 @@ static void resize_buffer(membuf_t mb, int needed) { - int newsize = 2 * needed; + size_t newsize = 2 * needed; mb->buf = realloc(mb->buf,

Hi folks, Wish y'all a Happy New Year 2010! I need some help with the following: Say I have lots of data sets, on which I have to apply a certain function on the same set of columns in each of the data set. Let's take, for ex, the typical data set is: df1 <- as.data.frame(cbind(rnorm(10),rnorm(10))) names(df1)[1] <- "A" names(df1)[2] <- "B" There are many

Version 3.1.0 of R has imposed a very small data limit on writing to fifos on Linux. Consider the following R code (Assumes that "ff" is a fifo in the R process's current directory): con <- fifo("ff", "a+b") writeBin(raw(12501), con) In R 3.0.3, this returns without error and the data is available on the fifo. In R 3.1.0, however, this returns the following

Hi, Is it possible use a loop to process many data frames in the same way? For example, if I have three data frames, all with same variables df_bs_id1 <- read.csv("test1.csv",header =TRUE) df_bs_id2 <- read.csv("test2.csv",header =TRUE) df_bs_id3 <- read.csv("test3.csv",header =TRUE) How could I would implement a code loop that , for instance, would