similar to: is.na<- coerces character vectors to be factors within dataframes (PR#1577)

The inconsistency is that you use $<- to set the column, then [[<- to change it. Had you tried to set the column by x[[1]] <- as.character(x[[1]]) you would have seen the problem immediately (it does not work as you would have intended). If you want to be sure to turn off conversion to factor, you need to set the column to class "AsIs". My belief is that will behave

Hi, In 1.4.1, I was able to create extra "empty" rows in a dataframe as so: > x <- data.frame(a = letters[1:3], b = 1:3) > x a b 1 a 1 2 b 2 3 c 3 > x[4,] a b NA NA NA > rbind(x, x[4,]) a b 1 a 1 2 b 2 3 c 3 NA NA NA > R.version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6

Hey everyone! I am seeing strange behavior with NA in the rownames of dataframes: > a <- data.frame(1:3, row.names = c("r1", NA, "r3")) > cbind(a) X1.3 r1 1 <NA> 2 r3 3 Everything works. The peculiar thing is that when the NA is in the first row, things no longer work as I would have expected: > b <- data.frame(1:3, row.names

I am seeing some strange behavior using save on a character vector containing a slash. If this is a bug, I will happily submit it (as a single entry! ;-) ) to r-bugs. Here is an example involving "VIA\B". > version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status

Hi, I often have large dataframes with many variables and many NA's, from which I would like to subset out some rows. Here is a toy example: > x <- data.frame(a = c("x", "y", "z"), b = c(1, NA, 5)) > x a b 1 x 1 2 y NA 3 z 5 I realize that, if I know the values in x$b that I want to subset, things are easy: > x[x$b %in% c(1),] a b 1 x 1

I am having problems using merge with all = TRUE when one of the dataframes has objects of class POSIXct. If this is a bug, let me know and I will report it to r-bugs. Here is an example: > version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status major 1

As cool and wonderful as the package checking tools for R are, I sometimes am stymied when trying to track down a problem. For example, I occasionally see error messages when running R CMD check like the following: [...] * checking Rd files ... OK * checking for undocumented objects ... ERROR * in parse(file, n, text, prompt) : syntax error on line 932 * in undoc(dir =

The help page for library says that: package, help: name or character string giving the name of a package. Yet, I don't seem to be able to use a string variable here. > version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status major 1

I often use merge with dataframes that contain character vectors which have elements that are sometimes "NA" (meaning the string NA, not the same thing, obviously, as NA in a numeric or factor vector). For example, the stock ticker for Nabisco was "NA". Unfortunately (for me), it seems like merge insists on inserting "NA" for missing values. My question: Is there some

Here is an example involving "VIA\B". > version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status major 1 minor 3.0 year 2001 month 06 day 22 language

I understand that NA's in character vectors are displayed differently than NA's in factor vectors. > c("x", NA, "y") [1] "x" NA "y" > as.factor(c("x", NA, "y")) [1] x <NA> y Levels: x y That seems sensible enough. But shouldn't I see the same behavior in a dataframe? > test <- data.frame(a =

There is a bug in all.equal.character: > all.equal.character(c("A", "B", "C"), c("A", "B", "C")) [1] TRUE > all.equal.character(c("A", "B", "C"), c("A", "B", NA)) Error in sum(out) : Object "out" not found > traceback() 3: sum(out) 2: paste("`is.NA' value

Although the documentation is somewhat sketchy, I() can be used to create objects of class AsIs: > I("a") [1] "a" attr(,"class") [1] "AsIs" "character" > I(4) [1] 4 attr(,"class") [1] "AsIs" "numeric" > I(4 + 0i) [1] 4+0i attr(,"class") [1] "AsIs" "complex" > This

The help for options says: echo: logical. Only used in non-interactive mode, when it controls whether input is echoed. Command-line options `--quiet' and `--slave' set this initially to `FALSE'. I don't think that this is correct for me. Consider the following session: mica|junk> ls test.R mica|junk> cat test.R cat("Why was this command

I don't seem to be able to initialize a vector of NAs. I hope this is a bug and not a new feature (I realize I have not paid much attention to a lot of recent discussion about NA): platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status major 1 minor 5.0 year

R> order(1, na.last=NA) Error in apply(sapply(z, is.na), 1, any) : dim(X) must have a positive length This bug appears unrelated to PR#1906, and so the fix of 8/15 doesn't help. It comes from the line inside order(): ok <- !apply(sapply(z, is.na), 1, any) where z=list(1) in my example. sapply() returns a single-element vector, not a matrix, making apply() unhappy. This might

Almost all of the heavy crunching I do in R is like: > for(i in long.list){ + do.something(i) + } > collect.results() Since all the invocations of do.something are independent of one another, there is no reason that I can't run them in parallel. Since my machine has four processors, a natural way to do this is to divide up long.list into 4 pieces and then start 4 jobs, each of which

B <- A <- factor(c("a", "b")) outer(A, B, "!=") Warning: "FUN" not meaningful for factors [,1] [,2] [1,] NA NA [2,] NA NA Now, this used to work in 0.63.2, but someone `improved' outer. There it did an implicit as.numeric. The problem is that get in match.fun does not understand group generics, and gets Browse[1]> FUN

This seemed too advanced for r-help and is related to the recent discussion of character vectors in dataframes. Following Brian Ripley's most excellent advice, we are moving to a world in which character vectors in dataframes are always of class AsIs. The cool way of doing this seemed to be the following: > cat(c("x", "y", "z"), file = "test.txt",

Hi, I think that there is something that I am misunderstanding in creating tables using dates that are of class POSIXct. Consider: > x <- data.frame(date = as.POSIXct(strptime(c(rep("2002-10-17", 4), rep("1999-12-08", 2)), format = "%Y-%m-%d"))) > x date 1 2002-10-17 2 2002-10-17 3 2002-10-17 4 2002-10-17 5 1999-12-08 6 1999-12-08 > table(x$date)