similar to: different behavior of $ with string literal vs string variable as argument

Hi everyone, I have a data frame one of whose columns is a character vector and the rest are numeric, and in debugging a script, I noticed that an ifelse call seems to be coercing the character column to a numeric column, and producing unintended values as a result. Roughly, here's what I tried to do: df: a data frame with, say, the first column as a character column and the second and

Hi everyone, I normally include a call to browser() as I'm working out the kinks in my scripts, and I am always able to step through each line by hitting "Return", but for some reason, in the scripts I'm working on now, hitting "Return" seems to cause execution of *all* the lines in my script. I've restarted R several times in case it was stuck in a bad state for

Hi everyone, I'd like to be able to apply lda to each 2D matrix slice of a 3D array, and then use the scalings to obtain the corresponding lda scores. I can use 'apply' to get a list of the lda output for each 2D slice, and can create a list of the resulting scalings, but I'm not sure how to multiply them in a vectorized way. Here's how I made a list of 2D matrices

Hi everyone, I'm trying to use apply (with a call to zoo's rollapply within) on the columns of a 1.5Kx165K matrix, and I'd like to make use of the other cores on my machine to speed it up. (And hopefully also leave more memory free: I find that after I create a big object like this, I have to save my workspace and then close and reopen R to be able to recover memory tied up by R, but

Hi everyone, Suppose I have a 3D array of datasets, where say dimension 1 corresponds to cases, dimension 2 to datasets, and dimension 3 to observations within a dataset. As an example, suppose I do the following: > x <- sample(1:20, 48, replace=TRUE) > datasets <- array(x, dim=c(4,3,2)) Here, for each j=1,2,3, I'd like to think of datasets[,j,] as a single data matrix with

Hi everyone, I'm trying to vectorize an application of lda to each 2D slice of a 3D array, but am running into trouble: It seems there are quite a few 2D slices that trigger either the "variables are collinear" warning, or worse, trigger a "variable appears to be constant within groups" error and fails (i.e., ceases computation rather than skips bad slice). There are

Hi everyone, I have large data frame, say df1, with 165K columns, and all but the first four columns of df1 are numeric. I transformed the numeric data and obtained a matrix, call it data.m, with 165K - 4 columns, and then tried to create a second data frame by replacing the numeric columns of df1 by data.m. I did this in two ways, and both ways instantly used up all the available memory, so

One could also argue that paste0("a", "b", "c") is a function call that needs to be evaluated at runtime, whereas "abc" is a string constant understood by the parser, and often also language agnostic. I'd assume compilers and code- and text-search tools do a better job with the latter. /Henrik On Mon, Jun 2, 2025 at 2:18?PM Josiah Parry

I suppose taste is learned as well. It does feel quite odd that the best way to define a long string without a note or text wrapping is by being creative with functions. This is valid in Python, Julia, and Rust (if you add `let` and a terminating semi-colon): my_str = "part1\ part2\ part2" I don't think it is abnormal to expect or desire this type of functionality in our favorite

Like Tomas, I find the paste0 readability to be **much** better, partly because it allows for better indentation (as Tomas pointed out). Perhaps a pointless email, but sometimes - for these subjective issues - it is worthwhile to point out a difference in opinion. Best, Kasper On Mon, Jun 2, 2025 at 12:27?PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > > On 6/2/25 17:37,

> On 3 Jun 2025, at 09:34, Henrik Bengtsson <henrik.bengtsson at gmail.com> wrote: > > One could also argue that paste0("a", "b", "c") is a function call that needs to be evaluated at runtime, whereas "abc" is a string constant understood by the parser, and often also language agnostic. I'd assume compilers and code- and text-search tools

I am new to R but am experienced SAS user and I was hoping to get some help on counting the occurrences of a character within a string at a row level. My dataframe, x, is structured as below: Col1 abc/def ghi/jkl/mno I found this code on the board but it counts all occurrences of "/" in the dataframe. chr.pos <- which(unlist(strsplit(x,NULL))=='/') chr.count <-

Hi, I have a data frame with one column containing string of the form "ABC...|XYZ..." where ABC etc are fields of 6 alphanumeric characters each and XYZ etc are fields of 8 alphanumeric characters each; "|" is a mandatory separator; I do not know in advance how many fields of each kind will each row contain. I need to extract these fields from the string. === How do I do that?

Can anyone give me insight into upsrw? I have a cyberpower PR2200 UPS (running an experimental version of the powerpanel driver hot off the presses by Arjen (thanks Arjen!!)). When I try to run "upsrw -s xyz=abc" to set any available variable, I get "Set variable failed: Access denied". What user name and password is it looking for here? My upsd.users file has 2 users

Dear All, Perhaps this should go in r-package-devel, but I suspect that this is going to turn into a feature request, and I want to run it by the list before filing it in the Bugzilla. I would like to specify a long string literal without making the line of code too long. In R, "abc def" yields the string "abc\def", and, as far as I can tell, there is no mechanism for

On 5/28/25 04:15, Pavel Krivitsky via R-devel wrote: > Dear All, > > Perhaps this should go in r-package-devel, but I suspect that this is > going to turn into a feature request, and I want to run it by the list > before filing it in the Bugzilla. > > I would like to specify a long string literal without making the line > of code too long. In R, > > "abc >

Tomas, Here is a good example of where this functionality would be useful: https://github.com/R-ArcGIS/arcgislayers/blob/2b29f4c254e7e5a1dadce8d4b0015a70dfae39d4/R/arc-open.R#L19-L56 In order to prevent R CMD check notes I have to use `paste0()` to concatenate long URLs. If we were able to use `\` to separate the string across multiple lines, it would make the solution much nicer! On Mon, Jun

On 6/2/25 17:37, Josiah Parry wrote: > Tomas, > > Here is a good example of where this functionality would be useful: > https://github.com/R-ArcGIS/arcgislayers/blob/2b29f4c254e7e5a1dadce8d4b0015a70dfae39d4/R/arc-open.R#L19-L56 > > In order to prevent R CMD check notes I have to use `paste0()` to > concatenate long URLs. If we were able to use `\` to > separate the string

Hi, my data frame is x<-data.frame(ID=c("abc/def","abc/def/ghi","abc","mno/pqr/st/ab")) I want to split my column ID using "/" as the place to split. How can I do that without telling the code how many sub-columns. I could use nchar(gsub("[^/]","",x$ID)) to get how many "/" are in each row of the column, but could

Dear R forum I have a data.frame as cashflow_df = data.frame(instrument = c("ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC", "ABC", "PQR", "PQR",