similar to: Automate concatenation?

I was working with the rmetrics portfolioBacktesting function and dug into the code to try to find why my formula with 113 items, i.e. A1 thru A113, was being truncated and I only get 85 items, not 113. Is it due to a string length limitation in R or is it a bug in the strsplit or gsub functions, or in my string? I'd very much appreciate any suggestions ============Input script:

Dear R user: I am studying the allele data of two populations. the following is the data: a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 a11 a12 a13 a14 a15 a16 a17 pop1 0.0217 0.0000 0.0109 0.0435 0.0435 0.0000 0.0109 0.0543 0.1739 0.0761 0.1413 0.1522 0.1087 0.0870 0.0435 0.0217 0.0109 pop2 0.0213 0.0213 0.0000 0.0000 0.0000 0.0426 0.1702 0.2128 0.1596 0.1809 0.0957 0.0745 0.0106

Hello, i try to understand, how it works (IDLE). Try to get it successfully work with my new Palm Pre ;-) which looks like to have a lot issues wir imap... so i'll blame not dovecot for the issues. Sent a mail, from googlemail. processed by dovecot ad 12:11. what me now confusing, is, that there in the out-log is nothing visible, I expected, to see there was sent an notification, there was

I would like to compare two data sets saved as text files (example below) to determine if both sets are identical(or if dat2 is missing information that is included in dat1) and if they are not identical list what information is different between the two sets(ie output "a1", "a3" as the differing information). The overall purpose would be to remove "a1" and

Dear Friends, I am seeking for any help on an error message in lme functions. I use mixed model to analyze a data with compound symmetric correlation structure. But I get an error message: "Error in corMatrix.corCompSymm(object) : NA/NaN/Inf in foreign function call (arg 1)". If I change the correlation structure to corAR1, then no error. I have no clue how to solve this problem.

Dear list, I have problem that I cannot solve and would like to ask your opinion. I tried to ask a few days ago already but got no answer and all my attempts to solve it by myself since then failed. Sorry for repeated posting! Here the problem broken down a bit. My problem basically is, that I want to use the elements of a character vector as names for objects and by recalling only the

I''ve created a simple script (below) which calls the effect.appear script in order to make a group of items appear at the page load. I would like to have the images randomly appear at different times; e.g. the 3rd image might start appearing 2 seconds after load, the 6th image immediately after load, the first image 1 second after load, etc... How can I achieve this affect? ---

Dear R-users, I would like to create a new data frame composed of 2 columns of another data frame. But it does not give me what I want... > casesCNST[1:10,] case X1 X2 X3 X4 expected 1 A1 0 0 0 0 E 2 A2 0 0 0 1 C 3 A3 0 0 0 2 C 4 A4 0 0 0 3 C 5 A5 0 0 0 4 C 6 A6 0 0 1 0 C 7 A7 0 0 1 1 C 8

Hi Gurus: If I have a large dataset of the form of: > x <- data.frame(V1 = runif(10), V2 = sample(c('A','B','C'),10,T)) > x V1 V21 0.2691580 A2 0.8711267 B3 0.2674728 C4 0.3278876 A5 0.1809152 A6 0.2499651 C7 0.9155174 A8 0.8004974 B9 0.7885516 A10 0.9301630 A And I want a V3 that =V2 if V2=A, and =D if V2=B or C. In other words I

I have the following data set, representing the the estimated number of some event (est), when the actual number was 3, 4, ..., 15. The numbers in the cells are the observed *frequencies* of each combination of (actual, estimated), so each column (a3 -- a15) gives a single discrete frequency distribution. Thus, when the actual number was 6, the estimated values were 5,6,7 with frequencies 7,

I am fitting models to the responses to a questionnaire that has seven yes/no questions (Item). For each combination of Subject and Item, the variable Response is coded as 0 or 1. I want to include random effects for both Subject and Item. While I understand that the datasets are fairly small, and there are a lot of invariant subjects, I do not understand something that is happening

I have a large data frame ("data1") that looks like: A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 A16 A17 A18 A19 A20 [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 [2,] 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 [3,] 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 0 0 0 0 0 [4,] 1 1 1 1

Dear R experts, I am having difficulty using loops productively and would like to please ask for advice. I have a dataframe of ids and groups. I would like to break down the dataframe into groups, find the unique sets of ids, then reassemble. My thought was to use a loop, but I have been unable to finish this loop in a logical way. I would like to find the unique ids for group 1, group 2,

Hello, I have studied register allocation in theoretical aspects and exploring the same in the implementation level. I need a minimal testcase for register spilling to analyze spilling procedure in llvm. I tried with a testcase taking 20 variables but all the 20 variables are getting stored in the stack using %rbp. Maybe my live variable analysis is wrong. Please help me with a minimal testcase

[R 1.7.1 on Windows XP Pro] Since R allows missing values for character variables, why are NA's not propagated by character manipulation functions? For example: > temp <- c("a", NA) > temp [1] "a" NA > is.na(temp) [1] FALSE TRUE > paste(temp[1], temp[2]) [1] "a NA" > substr(temp, 1, 1) [1] "a" "N" >

Using strptime() and other functions for dates has been very helpful with the kind of data I often work with. However, I haven't found out how time as such should be specified. All my attempts result in time *and* date: >treatment_time<-c("01:02:03","02:03:04") # hours:minutes:seconds >time.2<-strptime(treatment_time,format="%H:%M:%S") >time.2 [1]

I wonder if anyone could help me find an expression for skipping the last missing values in a vector? The kind of material I have is something like x<-c(23,12,NA,23,24,21,NA,NA,NA) I would like to skip the last NA's, but not the ones in between other vallues. Any hints? (Why not do this by simply take x[1:6]? I have several vectors a couple of thousand observations long with varying

Is there any simple way to add text to the x axis in R? I have tried to add simple characters in R without any greater sucess. As an example of what I want to do is the added C in the following "dumb" plot (produced with MacAnova using the option "dumb:T"): ++------+-------+------+-------+------+-------+------+-------++ 1+ :

Hi, I had a query regarding which object, a list or a dataframe, consumes more R memory. Let me clarify this: For example, I have a df of 6 rows and 12 columns, say 'test'. I do object.size() and find it uses 3.3 KB of memory. I run a loop and make a list, say 'testlist', of 6 elements, each element being the above mentioned df 'test'. The size of this list is 19.9 KB,

Hi All, My question is in regards to an error generated when using randomForest in R. Is there a special way to format the data in order to avoid this error, or am I completely confused on what the error implies? "Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 32 categories." This is generated from the command line: >