similar to: history of objects() and ls()

As far as I remember, this comes from S-PLUS, introduced around v.3 (white book?) or maybe v.4, and due to a desire to cut some Unix ties as MS-DOS was taking over the world. However, it was long ago, in a different world, and besides, S-PLUS is dead (mostly). - Peter > On 4 Jan 2019, at 00:45 , Ben Bolker <bbolker at gmail.com> wrote: > > > I found out today (maybe I had

Full_Name: Maria Rizzo Version: 2.10.1 (2009-12-14) OS: Windows XP SP3 Submission from: (NULL) (72.241.75.222) platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

Hello, I have searched for documentation on the function contourLines's algorithm but cannot find a thing. I am about to submit a paper to a journal but cannot yet do so because I need to provide some reference for this function. Does anyone know what algorithm is used for this function? Thanks, Derek Lacoursiere -- View this message in context:

Do you know of a reference that discusses alternative choices for plotting positions for a normal probability plot? The documentation for qqnorm says it calls ppoints, which returns qnorm((1:m-a)/(m+1-2*a)) with "a" = ifelse(n<=10, 3/8, 1/2)? The help pages for qqnorm and ppoints just refer to Becker, Chambers and Wilks (1988) The New S Language (Wadsworth & Brooks/Cole),

Hi, I want to look for some detailed explanation on the properties of Q-Q plot and how the properties are derived. In R, there is the following reference. Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole. Somebody also mentioned the following book chapter to me. Chambers et al., Graphical methods for Data Analysis, Ch.6. But both books are

Dear Askay, I believe my grey hair allows me to help answer your question. SQL, and its progenitor SEQUEL, were developed specifically to manipulate relational databases. It was developed in the early 1970s (equivalent to the historical bronze age) when the concept of a relational database (see https://en.wikipedia.org/wiki/Relational_database) and Codd's 12-rules were being developed (see

I'm trying to diagnose a bizarre problem in which the help files invoked from R are partially defective. help(), for instance, is missing the Description, Arguments and See Also sections; as are help files for other commands (see below). I've built 2.8.1, 2.10.1 and HEAD with the same results; do I need to set an environment or configuration variable? help

Hi I had a hard-to-find bug in some of my code the other day, which I eventually traced to my misusing of sweep(). I would expect sweep() to give me a warning if the elements don't recycle nicely, but X <- matrix(1:36,6,6) sweep(X,1,1:5,"+") [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2 9 16 23 30 32 [2,] 4 11 18 25 27 34 [3,] 6 13 20 22

It seems benign, but has implications since checking time is actually not a cheap operation: adding jus ta time check alone incurs a penalty of ca. 700% compared with the time it takes to call R_CheckUserInterrupt(). Generally, it makes no sense to check interrupts at every iteration - you'll find code like if (++i % 10000 == 0) R_CheckUserInterrupt(); in loops to make sure it's not called

And to answer the dependency question. Neither is dependent on the other. But both can be complimentary. If you consider that SQL*may* be a route to accessing your data (if it's in a database). And R *may* be a route to analysis of the data. If the data is in a CSV file, Excel file, API etc. you don't need SQL. IF it is in a database, you might extract it to CSV etc. or you might

Hello, I am very new to R (as my Subject probably indicates). I want to do something that should, I think, be very simple. I have five vectors in a list and I want to construct a covariance matrix out of them. Given a 5X5 matrix cvm1, and the list of vectors, cvm1_list, I thought the following would work (sorry cannot find code tags): for(i in 1:5){ for(j in 1:5){ cvm1[i,j] <-

Hadley asked about the Blue book; my shelf still has the earlier brown book Becker and Chambers, 1984, S: An interactive environment for data analysis and graphics. The manual page for precedence is $ component select %x special operator - unary minus : sequence operator ^ ** exponentiation * / mult/div + -

Hi R people: On page 235 of the Blue Book (Becker, Chambers, and Wilks), there is a "compose2" function. compose2 <- function(f,g) { gg <- substitute(g1(x)) print(gg) gg[[1]] <- g ff <- substitute(f1(y)) print(ff) ff[[1]] <- f ff[[2]] <- gg print(ff) fun <- function(x){ NULL } fun[[2]] <- ff fun } However, when I run this function using sum

hi: apologies for taking up everyone's time. my problem is probably documented somewhere, but I again cannot find it. (which reminds me: I cannot find a search engine that allows me to search the archives of this very useful mailing list.) * it seems that lines(lowess()) fails to plot certain line segments. (and, what does it do at the x-min and x-max of a data set?) Rather than

[Please keep r-help in the cc: list] I don't quite know how to interpret the difference between specifying effort as an offset vs. as weights; I would have to spend more time thinking about it/working through it than I have available at the moment. I don't know that specifying effort as weights is *wrong*, but I don't know that it's right or what it is doing: if I were

Hello fellow R sufferers, Is there a way to perform an appending operation in place? Currently, the way my pseudo-code goes is like this for (i in 1:1000) { if (some condition) { newRow <- myFunction(myArguments) X <- rbind(X, newRow) # <- this is the bottleneck!! } } As you can see, it works but as the matrix X gets the size of a few million rows, the

I do not follow you Gabriel. Package name must not use digit numbers. Tarbal will use them, taken from the DESCRIPTION file, version field. That's why I consider the weird case name you presented as irrelevant, and not to be considered. Le ven. 9 ao?t 2019 ? 20:41, Gabriel Becker <gabembecker at gmail.com> a ?crit : > > > On Fri, Aug 9, 2019 at 11:05 AM neonira Arinoem

Hmm. Chuck: I don't see how this example represents incomplete/incommensurate recycling. Doesn't TRUE replicate from length-1 to length-3 in this case (mat[c(TRUE,FALSE),2] would be an example of incomplete recycling)? William: clever, but maybe too clever unless you really need the speed? (The clever way is 8 times faster in the following case ...) x <- rep(1,1e6)

Dear R-ers Could you tell me how to build DLL from Fortran source and use the DLL in R? Environments: Windows 98 Fortran compiler : DIGITAL Visual Fortran Optimizing Compiler Version: V5.0 R v1.2.3 EXAMPLE SOURCE : FOO.FOR ------------------------------------- SUBROUTINE FOO(I,J) INTEGER I,J I=0 J=I+1 END ------------------------------------- I compiled FOO.FOR with DLL option.

In another thread on this list, various wild allegations have been made, relating to the New York Times article on R. I object both to the subject line and to the content of several of the messages, and will not repeat or quote any of that content. It smacks to me of mischief making. Discussion has centered around the following quote from the NY Times article: ?According to them, the