similar to: read.table from a list of filenames

I'm trying to rename the columns in a list of data.frames using the following... for(i in 1:length(filenames)) { assign(names(get(filenames[i])), c("name", "infood", "time") ) } R returns no errors, but the names are unchanged in the data.frames. The original names were things like > names(get(filenames[2])) [1] "Tc45w4.V1" "Tc45w4.V2"

I created variables automatically like this way for(i in 1:5){ nam <- paste("a",i,sep="") assign(nam,1:i) } and then, i want to insert a new data into "a2" variable. so, i did next sentence paste("a",2,sep="") <- 4 so, i got this error message Error in get(paste("a", 2, sep = ""))[1] <- 4 : target of

Dear R gurus, Below is a part of the R output. Please consider the two lines: > data > model.matrix(m1) Is there a way of suppressing the observation numbers 1, 2, ...27 in the output (I don't want these number to appear in the output)? Regards, NKN > # Orthogonal blocking > data=read.table("cut.txt",header=T) > attach(data) > data b x1 x2 x3 1 1 -1 -1 0 2

Hi all, Take this simple script, which I'm trying to use to understand when modification in-place occurs, and when a new object is created: message("Global") x <- 1:3 .Internal(inspect(x)) x[2] <- 1L .Internal(inspect(x)) message("In function") (function() { x <- 1:3 .Internal(inspect(x)) x[2] <- 1L .Internal(inspect(x)) })() If I run it from the

Hi, I would like to know if it's ok to use .Internal(inspect(x)) in order to detect vector copying. Take for example the following silly code: f <- function() { x = seq(10) print(.Internal(inspect(x))) for(i in seq(10)) { x[i] <- x[i] + 1 print(.Internal(inspect(x))) } } The output of f() was: @bd7acf0 13 INTSXP g0c4 [NAM(1)] (len=10, tl=0) 1,2,3,4,5,... [1] 1 2

I have a vaiable named NAM having value : 1,2,3,4,5,6,7,8,9. I want to make an indicator variable that will take value 1 if NAM=7 or NAM=8 or NAM=9. How can I do that? I usually do: Var001<- ifelse(NAM==7,1,0) for the simplest case. [[alternative HTML version deleted]]

Hi All? I was looking at a posting from June-17. I managed to solve it. However, when I changed the example in the posting, my solution will work only once at a time which was mentioned by Jim Lemon on his response to the original posting. This means that my solution will have to be repeated as many times as the maximum number of spaces on each gap; something that may not work well for large

Hi all, I have problems in a dataframe variables types. Look: from a loop function: for(...){ ... dados.fin <- rbind(dados.fin, c(L=j, A=j^2, Nsp=nsps, N=length(amosfin$SP), AmT="am",NAm=nam, AMST=amst)) dados.fin <- rbind(dados.fin, c(L=j, A=j^2,

Hello, I?m experimenting with ALTREP and was wondering if there is a preferred way to create an ALTREP wrapper vector without using .Internal(wrap_meta(?)), which R CMD check doesn?t like since it uses an .Internal() function. I was trying to create a factor that used an ALTREP integer, but attempting to set the class and levels attributes always ended up duplicating and materializing the

Hi, I expected NAMED to be 1 in all these three cases. It is for one of them, but not the other two? > R --vanilla R version 2.14.0 (2011-10-31) Platform: i386-pc-mingw32/i386 (32-bit) > x = 1L > .Internal(inspect(x)) # why NAM(2)? expected NAM(1) @2514aa0 13 INTSXP g0c1 [NAM(2)] (len=1, tl=0) 1 > y = 1:10 > .Internal(inspect(y)) # NAM(1) as expected but why different to x?

Hi there, When I run the following code, I could get correct objects (with correct values): for(i in 1:6) { #-- Create objects 'r.1', 'r.2', ... 'r.6' -- nam <- paste("r",i, sep=".") assign(nam, 1:i) # save(nam, file = paste(nam, "RData", sep = ".")) } I hope to save the object 'r.1',

Hello, I have a maybe trivial question, but I simply don't understand well enought how to work with text/strings: I have a rather compelx data structure, a big list with several sub-lists/dataframes and for certain calculations (which I do in loops), I only need a certain group of sub-lists/dataframes, which I want to specify with a name vector and paste together the object name and pass it

Hi! Like to write quite a lot (ca 100) of objects from my envirovment with save. The names of the objects are in a list nam. nam<-dir() nam<-grep("E",nam,value=T) length(nam) 20 for(x in nam) { #reads the objects and assigns the names. assign(x,simFromEmboss(Simmatrix(),x)) nnam<-paste(x,".rda",sep="") print(nnam) save(x,file=nnam) } I knew that

I would like to have a lattice conditioning ( | var ) variable have expression() as values because I want panel labels to be able to use plotmath notation for subscripts, etc. lattice barks at this. Does anyone know of a trick workaround? An attempted example program is below. Thanks -Frank require(lattice) set.seed(1) var <- c(rep('A', 100), rep('B', 100)) trt <-

Hello, I was wondering if there were any plans for ALTREP lists (VECSXP)? It seems to me that they could be supported in a similar way to how ALTSTRING works, with Elt() and Set_elt() methods, or would there be some problems with that I?m not seeing due to lists not being atomic vectors? I was taking an approach of converting each list element (of a file-based list data structure) to an ALTREP

I am trying to refer to a variable name in a lm regression where the variable name is in another variable, but it does seem to work. Here is an example: y<-rnorm(10) dat<-data.frame(x1=rnorm(10),x2=rnorm(10),x3=rnorm(10)) nam<-c('x1','x2','x3') library(gtools) com<-combinations(3,2,1:3) mod<-lm(y~nam[com[1,1]],data=dat) #error in model frame....:variable

Hi Jiefei and Kylie, Great to see people engaging with the ALTREP framework and identifying places we may need more tooling. Comments inline. On Thu, Jul 18, 2019 at 12:22 PM King Jiefei <szwjf08 at gmail.com> wrote: > > If that is the case and you are 100% sure the reference number should be 1 > for your variable *y*, my solution is to call *SET_NAMED *in C++ to reset > the

Dear all,   i would like to count the number of times where I have combined occurrences of the categories of 2 variables.   For instance, in the dataframe below, i would like to know how many times each author (au1, au2, au3 represent the first, second, third author) is associated with each of the category of the variable 'nam'. The position of the author does not matter.   nam <-

Hello everyone, I encountered the following confusing behavior of 'deparse' and 'substitute' while programming with S4 classes (see example below). It seems like the presence of '...' argument in the definition of the generic generates the problem. I have no clue why, can anyone explain that to me? Are there any "workarounds"? Thanks a lot for your time!

Hello! I have a question about my lattice barchart that I am trying to build in Section 3 below. I can't figure out a couple of things: 1. When I look at the dataframe "test" that I am trying to plot, it looks right to me (the group "Total" is always the first out of 5). However, in the chart it is the last. Why? 2. How can I make sure the value labels (on y) are not