similar to: parse on left hand side of R assignment

Hi, my doubt is very simple. I'm sure I've seen someone using something like this before, but unfortunatelly my searches in the archives were useless. Well, I have some objects called after a name that has a number attached to it, varying. Let's say I have: > ls poly1 poly2 poly3 poly4 poly5 poly6 ... I would like to access these objects using a for(), in which I could do

Um, if you insist on doing it that way, at least use assign(varname, as.vector(get(varname))) -pd > On 4 Dec 2017, at 22:46 , Love Bohman <love.bohman at sociology.su.se> wrote: > > Hi! > Thanks for the replies! > I understand people more accustomed to R doesn't like looping much, and that thinking about loops is something I do since I worked with Stata a lot. The

Hi! Thanks for the replies! I understand people more accustomed to R doesn't like looping much, and that thinking about loops is something I do since I worked with Stata a lot. The syntax from Peter Dalgaard was really clever, and I learned a lot from it, even though it didn't solve my problem (I guess it wasn't very well explained). My problem was basically that I have a data matrix

Loops are not evil, and no-one in this thread said they are. But I believe your failure to provide a reproducible example is creating confusion, since you may be using words that mean one thing to you and something else to the readers here. ################################ # A reproducible example includes a tiny set of sample data # Since we cannot reproducibly refer to filenames (your

:-) I don't insist on anything, I'm just struggling to learn a new language and partly a new way of thinking, and I really appreciate the corrections. I hope I someday will be able to handle lists in R as easy as I handle loops in Stata... Thanks again! Love -----Ursprungligt meddelande----- Fr?n: peter dalgaard [mailto:pdalgd at gmail.com] Skickat: den 4 december 2017 23:09 Till:

By the way, R 'vectors' are not the equivalents of mathematical 'vectors'. In R, a vector is something that can have arbitrary length and which has no 'attributes', other than perhaps element names. Vectors can be numeric, character, complex, lists, etc. Functions, names, and NULL are not vectors. In my opinion, the typical data scientist will rarely find the R vector

I'll appreciate your help on this. I have values stored in a list as in "mylist" below. I need to sum the values over all elements of the list aggregated by the names of the matrices. mylist <- list(matrix(c(0.2, 0.4), 1, 2, dimnames = list(NULL, c("1", "2"))), matrix(c(0.1, 0.5), 1, 2, dimnames = list(NULL, c("1",

I have RedHat linux 9 with R 1.8. I'm estimating models with multinom with a dependent variable that has 3 different values. Sometimes the models run fine and I can understand the results. Sometimes when I put in another variable, I see an indication that the estimation did work, but then I can't get the summary method to work. It's like this: > votemn1 <-

Hi again! I know you don't find loops evil (well, at least not diabolic :-) ). (After many hours googling I have realized that thinking about loops rather than lists is a newbie thing we Stata-users do, I just jokingly pointed it out). Anyway, I'm really happy that you try to teach me some R-manners. Since I still get questions about what the h**k I mean by my strange question, I sort it

Hi, I tried many things to insert a data in an Oracle Table, but the Rails compiler never Works! I create this Oracle table: CREATE TABLE "FOO" ( "id" int NOT NULL primary key, "acolumn" VARCHAR(10) NULL ) and when i tried to insert a new row the Rails compiler tell me : OCIError: ORA-00904: invalid column name: INSERT INTO AGO.FOO (acolumn, id)

The generic rule is that R is not a macro language, so looping of names of things gets awkward. It is usually easier to use compound objects like lists and iterate over them. E.g. datanames <- paste0("aa_", 2000:2007) datalist <- lapply(datanames, get) names(datalist) <- datanames col1 <- lapply(datalist, "[[", 1) colnum <- lapply(col1, as.numeric) (The 2nd

I'm working up a set of small working examples in R to show what various distributions are and the beauty of the central limit theorem. Those example programs are in this directory: http://lark.cc.ukans.edu/~pauljohn/R/ExampleCode/ You can feel free to use those if you want, or you can send me other small working example code for R. The key here is small, self contained things that

I've been writing a bunch of simulation experiments to test models in MASS (glm.nb) and JK Lindsey's repeated library (gar and kalcount). If I generate data over and over, and estimate a model for each, I end have syntax like this: x <- rnorm(1000) for (i in 1: nOfRuns){ y <- getPhonyData(x) estim <- glm.nb(y~x,link="log") } Except for problems of nonconvergence

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Hello I have 2 datasets say Data1 and Data2 both are of different dimesions. Data1: 120 rows and 6 columns (Varname, Vartype, Labels, Description, ....) The column Varname has 120 rows which has variable names such id, age, gender,.....so on Data2: 12528 rows and 120 columns The column names in this case are V1, V2, ......... V120 (which are default names in R when we say head=F in read.csv)

Dear Friends in R: On RedHat linux, R-1.1, I've gotten far enough to create the graph that shows on the screen with 3 lines, but I have some trouble. Here is the way I created the three "overlaid" graphs: data<-read.table("DataCulture0",header=T,as.is = TRUE) attach(data) tmp1<-plot(acquaint~T,type='l', ylim=c(0,1),ylab="average

Hi Folks, I'm wondering if there's a secret trick to achieve the following. I have some big code for analysis related to a named variable, which will be one of several in the columns of a dataframe, and I would like to be able to choose between a run for just one of these variables, or a run which loops over them all. So, for a single run, I could have the following kind of thing in a

Hi R-users! Being new to R, and a fairly advanced Stata-user, I guess part of my problem is that my mindset (and probably my language as well) is wrong. Anyway, I have what I guess is a rather simple problem, that I now without success spent days trying to solve. I have a bunch of datasets imported from Stata that is labelled aa_2000 aa_2001 aa_2002, etc. Each dataset is imported as a matrix, and

HDF5 is a high quality data storage format from NCSA (http://hdf.ncsa.uiuc.edu/index.html) Marcus Daniels of the Swarm Development Group has made available an R library called hdf5 which allows loading and saving of data in hdf5 format. The source for his library is here: ftp://ftp.swarm.org/pub/swarm/src/testing/hdf5_1.4.7.tar.gz I prefer to use RPMs to maintain software across many linux

Dear All, My problem is the following > varname <- c("age","sex","edu","mrt") > varstates <- c(10,2,4,3) # 10 age groups, 2 sexes, 4 education group and 3 marital status.. Now, I want four variables (vector with length1) named nrage, nrsex, nredu, nrmrt and assing some values > for (i in 1:4) paste("nr",varname[i],sep="")