similar to: cbind error with check.names

>>>>> peter dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > This seems to be due to changes made by Martin Maechler in > 2008. Presumably this fixed something, but it escapes my > memory. Yes: The change set (svn -c46441) also contains the following NEWS entry BUG FIXES o

The behaviour of within() with list input changes if you delete 2 or more variables, compared to deleting one: l <- list(x=1, y=2, z=3) within(l, { rm(z) }) #$x #[1] 1 # #$y #[1] 2 within(l, { rm(y) rm(z) }) #$x #[1] 1 # #$y #NULL # #$z #NULL When 2 or more variables are deleted, the list entries are instead set to NULL. Is this intended?

This seems to be due to changes made by Martin Maechler in 2008. Presumably this fixed something, but it escapes my memory. However, it seems to have broken the equivalence between within.list and within.data.frame, so now within.list <- within.data.frame does not suffice. The crux of the matter seems to be that both the following constructions work for data frames > aq <-

> On 26 Jun 2017, at 19:04 , Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> peter dalgaard <pdalgd at gmail.com> >>>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > >> This seems to be due to changes made by Martin Maechler in >> 2008. Presumably this fixed something, but it escapes my >> memory. >

_______________________________________________________________________________________ Hi, I was just wondering if there was any available R code that could handle general constrained optimisation problems. At the moment I'm using nlminb and optim, both of which allow box constraints on the parameters, but ideally I'd like to be able to specify more general constraints on the solution

>>>>> "PD" == Peter Dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 20:12:38 +0200 writes: >> On 26 Jun 2017, at 19:04 , Martin Maechler >> <maechler at stat.math.ethz.ch> wrote: >> >>>>>>> peter dalgaard <pdalgd at gmail.com> on Mon, 26 Jun

_______________________________________________________________________________________ Note: This e-mail is subject to the disclaimer contained at the bottom of this message. _______________________________________________________________________________________ Hi, I came across some rather unexpected behaviour the other day with assigning names and lists. Here's an example. > z

_______________________________________________________________________________________ Hi, I'm writing up the online help for a package I'm developing (in-house only, sorry), and I've come across an odd glitch when trying to nest a list inside the "arguments" section of the .Rd file. I was just wondering if anyone could provide some insights. I'm using R 2.2.0 on

Dear r-devel members, It's just been brought to my attention that R permits non-unique column names in data frames -- e.g., via assignment to names() or colnames(). This behaviour is consistent with the help files (as I discovered), but it's not consistent with the behaviour of rownames() and row.names(). For example, row.names(airquality) <- rep("a", nrow(airquality))

Full_Name: Hong Ooi Version: 2.10.0 OS: Windows XP Submission from: (NULL) (203.110.235.1) While trying to get summary statistics on a duration variable (the difference between a start and end date), I ran into the following issue. Using summary or quantile (which summary calls) on a difftime object takes an extremely long time if the object is even moderately large. A reproducible example:

I would like to use the "row number" information returned from performing a subset command on a dataframe. For example, I would like to automatically delete some rows from a dataframe if they match a criteria. Here is my example below. data(airquality) names(airquality) subset(airquality, airquality$Month == 6) Now how do I delete the row numbers returned automatically? I

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

An Sweave file, 'test.Rnw': \documentclass{article} \title{Sweave minimal} \author{MK} \begin{document} \maketitle We try Sweave: <<1>>= data(airquality) summary(airquality) x <- airquality[1, 1] @ I try Sexpr: \Sexpr{x} We plot: \begin{center} <<2, fig=TRUE, echo=FALSE >>= boxplot(Ozone ~ Month, data = airquality) @ \end{center} \end{document} I check the

I would like to add a column to the airquality dataset that contains the date 1950-01-01 in each row. This method does not appear to work: > attach(airquality) > data1 <- transform(airquality,Date=as.Date("1950-01-01")) Error in data.frame(list(Ozone = c(41L, 36L, 12L, 18L, NA, 28L, 23L, 19L, : arguments imply differing number of rows: 153, 1 I can't decipher what

_______________________________________________________________________________________ Hello, Not sure if this counts as a bug or not, but I just noticed in R 2.4.0 that : and interaction are not quite equivalent. For example: > x <- factor(letters[1:4]) > y <- factor(letters[11:14]) > x:y [1] a:k b:l c:m d:n Levels: a:k a:l a:m a:n b:k b:l b:m b:n c:k c:l c:m c:n d:k d:l d:m

Hello Given the following data for a data set called airquality. To identify the nature of the objects from the data set airquality example "Ozone" would it be best to use the command is. like is.character(airquality$Ozone) ....... I tried attributes(airquality$Ozone) but it came up null. Would there be a better way to identify these objects. Thanking you in advance for your

My apologies in advance for my thickness but I can't seem to solve the following, seemingly simple, data manipulation problem: I have a data frame that contains multiple factors and multiple continuous response variables, but duplicates of some factor combinations. The duplicates contain bad data, so I would like to eliminate the duplicates. I would like to retain the entire rows

I think I've gotten my Emacs/Sweave/R system set up correctly, thanks to Vincent and Jim, but I haven't been successful getting my first document produced. I'm trying to use one of Friedrich Leisch's examples, http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw. I cut and pasted the text into a document sweaveexample.Rnw in Emacs. It seemed to be processed successfully with R:

Hello list. Maybe this is a simple question but I can't find the answer anywhere. With lm I use the parameter y=TRUE to have the response returned in $y. Of course, namely because of NA's in the data frame, this might not include all the values in the original column. For example: > data(airquality) > length(airquality$Day) [1] 153 > my.lm <- lm(Day~.,data=airquality,y=TRUE)

Dear R-devel list, I realized that removing a predictor in lm through the "-"'s operator in formula() does not affect the complete cases that are considered. A minimal example is: summary(lm(Wind ~ ., data = airquality)) # 42 observations deleted due to missingness summary(lm(Wind ~ . - Ozone, data = airquality)) # still 42 observations deleted due to missingness, even if only 7