similar to: data.frame as argument to data.frame

Hi, The following seems to be a bug introduced with version 1.8.0 (it worked without error on my installation of version 1.7.0): > test <- data.frame(time = I(c("2003-08-19:22:55:57"))) > test[["time"]] <- strptime(test[["time"]], format = "%Y-%m-%d:%H:%M:%S") Error in "[[<-.data.frame"(`*tmp*`, "time", value =

Let me first admit: I am experiencing this bug on a precompiled binary of R for windows, and I know these are not supported. I am not asking for support, but I thought the R developers would want to know about this. # Define: foo.page <- function(x) x # Then, foo.page("a") # actually invokes the pager (!) on object named "a" (if one is defined). # same thing happens

Hello, Could someone please tell me why the following doesn't work: I have a file C:\Program Files\R\rw1051\etc\Renviron.site, which contains the line: R_LIBS= "C:/Jim/LocalR-Libraries/FromCran"; "C:/Jim/LocalR-Libraries/Cantata" >From the documentation, I gather that I have put this file in the default location, but to be safe I also explicitly set the R_ENVIRON

Hello, Has anyone out there encountered a problem like this: xyplot(Plasma ~ Serum | Analyte, data = sp.df, aspect = 1, layout = c(1, 1, 200), scales = list(relation = "free") ) Gives the error: Error in pretty(x[is.finite(x)], ...) : x must be numeric On the other hand, this works (but I don't want the default of having everything on the same

When I load an add-on package, is there any way to specify where it ends up in the search path (as with the pos argument to attach())? From the documentation for library(), this doesn't seem like an option. (I know I can detach packages and then reload them in the order I want; I'm looking for a less clumsy way.) Thanks, Jim James A. Rogers, Ph.D. <rogers at cantatapharm.com>

I have a problem when one of the vectors in a list needs to be replicated to have the appropriate length, and an attribute is present. > w <- list(a=1, b=2:3) > as.data.frame(w) a b 1 1 2 2 1 3 > attr(w$a,'label') <- 'foo' > as.data.frame(w) Error in data.frame(a = 1, b = c(2, 3), check.names = TRUE) : arguments imply differing number of rows:

When replacing all elements of a column in a data.frame, a corrupt data.frame will be generated if the replacer is "short": test> bbb <- data.frame( x=1:2) test> bbb[,'x'] <- 3 # should fill the column test> bbb x 1 3 2 <NA> Warning message: corrupt data frame: columns will be truncated or padded with NAs in: format.data.frame(x, digits = digits)

by() fails for 1-column matrices and dataframes: X <- data.frame(a=1:10) g <- gl(2,5) by(X, g, colMeans) Suggested fix: --- by-old.R 2007-12-10 15:26:22.501086600 +0100 +++ by.R 2007-12-10 15:25:58.390477200 +0100 @@ -26,7 +26,7 @@ IND[[1]] <- INDICES names(IND) <- deparse(substitute(INDICES))[1] } else IND <- INDICES - FUNx <-

>>>>> Hilmar Berger >>>>> on Wed, 4 Sep 2019 15:25:46 +0200 writes: > Dear all, > I just stumbled upon some behavior of the == operator which is at least > somewhat inconsistent. > R version 3.6.1 (2019-07-05) -- "Action of the Toes" > Copyright (C) 2019 The R Foundation for Statistical Computing > Platform:

ligges@statistik.uni-dortmund.de wrote: > > Was on R-help: > > Subject: Re: [R] .Renviron and Renviron.site (on Windows XP) > Date: Thu, 11 Sep 2002 > From: "James Rogers" <jrogers@cantatapharm.com> > > At least on the windows version of R the file > ...../etc/Renviron.site > won't be interpreted as mentioned in, e.g., ?.Renviron. >

The as.matrix function behaves in a puzzling manner. The help file says: "`as.matrix' is a generic function. The method for data frames will convert any non-numeric column into a character vector using `format' and so return a character matrix." But this does not appear to be the case in the following example. Instead, as.matrix turns a data.frame into a list, not a

>>>>> Martin Maechler >>>>> on Wed, 18 Sep 2019 10:35:42 +0200 writes: >>>>> Hilmar Berger >>>>> on Sat, 14 Sep 2019 13:31:27 +0200 writes: >> Dear all, >> I did some more tests regarding the == operator in Ops.data.frame (see >> below).? All tests done in R 3.6.1

> x <- data.frame(a=1:3,b=2:4) > x[,3] <- x Warning message: In `[<-.data.frame`(`*tmp*`, , 3, value = list(a = 1:3, b = 2:4)) : provided 2 variables to replace 1 variables > x a b a.1 b.1 1 1 2 1 NULL 2 2 3 2 <NA> 3 3 4 3 <NA> Warning message: In format.data.frame(x, digits = digits, na.encode = FALSE) : corrupt data frame: columns will be truncated or

Dear R-users, I am somewhat puzzled by how R treats data frames with nested data frames. Below are a couple of examples, maybe someone could help explain what the guiding logic here is. ## construct plain data frame > z <- data.frame(x=1) ## add a data frame member > z$y <- data.frame(a=1,b=2) ## puzzle 1: z is apparently different from a straightforward construction of the

There's a problem new to R2.4.0 when rbinding an auto-row-named data.frame to a list: > rbind( data.frame( x=1), list( x=2)) Error in attr(value, "row.names") <- rlabs : row names must be 'character' or 'integer', not 'double' Works OK with 2 data.frames or 2 lists. Mark Bravington CSIRO Mathematical & Information Sciences Marine

Dear R-devel, It appears that data.frame ignores row.names=NULL argument if it can guess the names from the first column. This behavior seems to contradict what the help page says, see the last sentence: If row names are not supplied in the call to 'data.frame', the row names are taken from the first component that has suitable names, for example a named vector or a matrix

I'm getting the following warnings under 2.10 v50082 but not v49613 >> In addition: Warning messages: 1: In `[.data.frame`(df, -(1:nrow(df)), , drop = FALSE) : named arguments other than 'drop' are discouraged 5: In `[.data.frame`(object, !omit, , drop = FALSE) : >> named arguments other than 'drop' are discouraged In neither case are there any named arguments,

library(glmpath) data(heart.data) # heart.data is a list, $y a vector, $x a matrix data <- data.frame(x=I(heart.data$x), y = heart.data$y) > data[1:2,] x.1 x.2 x.3 x.4 x.5 x.6 x.7 x.8 x.9 y 1 160 12 5.73 23.11 1 49 25.3 97.2 52 1 2 144 0.01 4.41 28.61 0 55 28.87 2.06 63 1 > dimnames(heart.data$x)[[2]] [1] "sbp"

Estimados Tengo un problema, creo que sencillo, pero hay algo que hice mal, coloco el código, básicamente desde igraph se realiza un análisis, y se me ocurre tener un data.frame para ordenar los resultados, pero justo en ese punto aparece un problema. ¿Alguna sugerencia? > version _ platform x86_64-w64-mingw32 arch x86_64

Dear R gurus, I trying to convert a list of data frames to one data frame, but one of the values within the list is NULL, so I get the error "arguments imply differing number of rows." Do you know of a quick way to tell R to combine all that are not null? Here is a simple example: >