similar to: Multiple cbind according to filename

Dear R help list, I am very new to R and I apologize in advance if this has been answered before. I have done my best to google/R search what I need but no luck. Here is what I am attempting: I have hundreds of .csv files that I need to sort based on a single column of alphanumeric data. All of the files contain matrices that have identical dimensions and headers, however the data table

Hello, I get some file names by list.files(). These names are in alphabetical order. I want to change it to logical numeric order. Example: > fileNames <- c("A10", "A1", "A2", "B1", "B2", "B10") > sort(fileNames) [1] "A1" "A10" "A2" "B1" "B10" "B2" I want to have:

Hello, I have a simple question about using the aov function syntax (ie. * + or :) for the interaction of 2 factors. I have read the help files, and researched other sites, and have included my source files. My goal is to measure the signifigance of the interaction between population and condition (aka. population:condition). I can't seem to figure it out. 1. In the first example the

Hola everyone, Solving this issue would be a huge time saver for analyzing my thesis data, so I'll try to be as concise as possible and hope that someone can give me a hand. I am trying to run a function that I created, which works fine until I try to use it with the by function. That function is listed at the bottom (f3) just in case that might be the issue. Essentially I have compiled a

All, For example, I have a dataset named "ABC" loaded into R > ABC [,1] [,2] [,3] [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 and I also have a variable datasetname > datasetname [1] "ABC" and I want to add this "ABC" dataset to an existing list "alldata" > alldata <-NULL > alldata <- as.list(alldata) since I will

Hello, I have a question regarding how to subset/select parts of a data frame (matrix) in order to plot data associated only with this subset. Specifically I have a large data frame in which one column contains ID values (dates), and other columns contain data I would like to plot (temperature, light, etc.). I would like to break up this large matrix so as to plot data associated

Hi R list, I would like to automate, or speed up the process from which I take several separate datasets, stored in .csv formate, import and merge them by a common variable. So far I have greatly sped up the loading process but cannot think of a way to automate the merger of all datasets into a common data.frame. My apologies if this has been covered, any R search suggestions are

Dear all, I've come across a problem using strptime, can anyone explain what's going on? I'm using version 2.7.0 on Windows XP. Thank you Caroline First read in a data file using read.table alldata = read.table(file, header=F, skip=4, colClasses = c("character","numeric")) dim(alldata) [1] 223960 2 # inefficient, safe way of sorting out missing or dodgy

R 2.9.1 Windows XP I am fitting a random effects ANOVA with two factors Group which has two levels and Time which has three levels: fita<-lme(Post~Time+factor(Group)+factor(Group)*Time, random=~1|SS,data=blah$alldata) I want to get the omnibus significance tests for each factor and the interaction. I believe I can get the omnibus test for the interaction by running the model:

(R 1.9.1; Windows 2000;) I'm just comparing ease of use, speed, etc for methods of transferring data frames in the Excel, MySQL, R triangle. It turns out that going from Excel to R (when doing this carefully). Using the clipboard is actually quite fast and efficient (2 seconds for transferring 120 000 cells on a common desktop computer as compared to much longer for going the RODBC route,

HI All, I have a long data file generated from a minimal pair test that I gave to learners of Arabic before and after a phonetic training regime. For each of thirty some subjects there are 800 rows of data, from each of 400 items at pre and posttest. For each item the subject got correct, there is a 'C' in the column 'Correct'. The line: tapply(ALLDATA$Correct,

No doubt an easy answer to this exists. I have a data frame which comprises 4 matrices and 2 vectors: year(1024,6),growth(1024,6),ycens(1024,6),gcens(1024,6),yinit(1024),ginit(1024) The names of the 26 columns get denoted as y.1 to y.6, g.1 to g.6, yc.1 to yc.6, gc.1 to gc.6, yi and gi as these are the internal names. I wish to make a subset of the data using the logical vector R1(length 1024)

Hi folks, Suppose I create the character vector charvec by > charvec<-c("a1.b1","a2.b2") > charvec [1] "a1.b1" "a2.b2" and then I use strsplit on charvec as follows: > splitlist<-strsplit(charvec,split=".",fixed=TRUE) > splitlist [[1]] [1] "a1" "b1" [[2]] [1] "a2" "b2" I was wondering

Hello R-Help, ----------------------------------------------------------------------------------------------------------------------------------------- Issues (there are 2): 1) Possible bug when using lmtest::encomptest() with a linear model created using nlme::lmList() 2) Possible modification to lmtest::encomptest() to fix confusing fail when models provided are, in fact, nested. I have

Dear Wiz[R]ds, I am deeply grateful for the help from Duncan Murdoch, Gray Calhoun, and others. We are almost there. For whatever reason, I can't change the symbol from a circle to a triangle in the upright posture plots. Any ideas? I have included the problem in full. # tritiated (3H)-Norepinephrine(NE) disappearance from plasma # concentrations supine and upright # supine datasu <-

Hi I searched in the list and only found questions without answers e.g. http://finzi.psych.upenn.edu/R/Rhelp02a/archive/19955.html : Is there a way to get the same results with lme as with aov with Error()? Can anybody reproduce the following results with lme: id<-c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,1,1,1,2,2,2,3,3,3,4,4,4,5,5,5)

Hi, I have a three dimensional array, e.g., my.array = array(0, dim=c(2,3,4), dimnames=list( d1=c("A1","A2"), d2=c("B1","B2","B3"), d3=c("C1","C2","C3","C4")) ) what I would like to get is then a dataframe: d1 d2 d3 value A1 B1 C1 0 A2 B1 C1 0 . . . A2 B3 C4 0 I'm sure there is one function to do

For an application, I have formulas defined in terms of a left Kronecker product of matrices, A,B, meaning A \otimes_L B = {A * B[i,j]} -- matrix on the left multiplies each element on the right. The standard kronecker() function is the right Kronecker product, A \otimes_R B = {A[i,j] * B} -- matrix on the right multiplies each element on the left. The example below shows the result of

Hello all, I have a matrix whose column names look like a1 a2 b1 b2 b3 c1 c2 1 2 3 7 1 3 2 4 6 7 8 1 4 3 Now, I can have any number of a's. not just two as shown above and same goes for b's and c's. I need to extract all the a's columns and put them in another matrix, extract all b's columns and put them in some matrix

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank