similar to: Empty data frame does not maintain column type

Dear R-devel, AsIs class seems to be well handled by `typeof` and `mode` function. Those two functions are being referred when explaining `is.vector` behaviour in manual. Yet `is.vector` does not seem to be handling AsIs class the same way. is.vector(1L) #[1] TRUE is.vector(I(1L)) #[1] FALSE Is there any reason behind this behaviour? Could we have it supported so AsIs class is ignored when

Greetings, Running R 3.5.0 under Windows 7 typeof(c(1,"2")) yields "character" as expected. But in d.f <- data.frame(C=c(1,"2")) typeof(d.f$C) yields "integer". Is this a bug? Michael Meyer

Hello, A way to see this is with ?class # OP's code typeof(c(1,"2")) # "character" d.f <- data.frame(C=c(1,"2")) typeof(d.f$C) # "integer" # And check the objects' classes class(c(1,"2")) # "character" class(d.f$C) # "factor" Hope this helps, Rui Barradas ?s 08:19 de 19/07/19, Peter Langfelder escreveu:

Thank you Gabriel, Agree, although I think that could be relaxed in this single case and AsIs class could be ignored. Best, Jan On Sun, Mar 29, 2020 at 7:09 PM Gabriel Becker <gabembecker at gmail.com> wrote: > > Jan, > > I believe it's because it has "a non-NULL attribute other than names" as per the documentation. In this case its class of "AsIs". >

Thanks Marc. It never occurred to me that I would need a ""stringsAsFactors" expression in a data.frame.? I could have sworn I never did before when mocking up some data but clearly I was wrong or there has been a change in R v. 3.4.1 which seems unlikely. On Friday, July 7, 2017, 10:37:29 AM EDT, Marc Schwartz <marc_schwartz at me.com> wrote: > On Jul 7, 2017, at 6:03

Hi all, I love the option to not automatically convert strings into factors, but there are three places that the current option doesn't work where I think it should: options(stringsAsFactors = FALSE) str(expand.grid(letters)) str(type.convert(letters)) df <- read.fwf(textConnection(paste(letters,collapse="\n")), 1) str(df) I think type.convert and read.fwf can be fixed by

Hi, I still have little ability to predict how these functions will treat the columns of data frames: > # Here's a data frame with a column "a" of integers, > # and a column "b" of characters: > df <- data.frame( + a = 1:2, + b = c("a","b") + ) > df a b 1 1 a 2 2 b > > # Except -- both columns are characters: >

> On Jul 7, 2017, at 7:03 PM, John Kane <jrkrideau at yahoo.ca> wrote: > > Thanks Marc. > It never occurred to me that I would need a ""stringsAsFactors" expression in a data.frame. I could have sworn I never did before when mocking up some data but clearly I was wrong or there has been a change in R v. 3.4.1 which seems unlikely. Welcome John. Going back to

I want to produce a dataframe with integer columns for elements of string pairs: pairs <- c("10 21","23 45") pairs.split <- lapply(pairs,function(x)strsplit(x," ")) pdf <- as.data.frame(pairs.split) names(pdf) <- c("p","q") -- at this point things look good, except the columns are factors, as I didn't change the default

The documentation of as.data.frame is not explicit about how it generates column names for the simple vector case, but it seems to use the character form of the quoted argument, e.g. names(as.data.frame(1:3)) [1] "1:3" But there is a strange case: names(as.data.frame(c("a"))) [1] "if (stringsAsFactors) factor(x) else x" I feel fairly comfortable calling this a

> On Jul 7, 2017, at 6:03 AM, John Kane via R-help <r-help at r-project.org> wrote: > > This is not serious problem but I just wonder if someone can explain what is happening. > The same command within a dataframe is giving me a factor and as a plain vector is giving me a character. It's probably something simple that I have read and forgotten but I thought I'd ask.

Hi , I want to know is this behavior expected and why is that ? Need some help gender <- c("F", "M", "M", "F", "F", "M", "F", "F") > age <- c(23, 25, 27, 29, 31, 33, 35, 37) > df<- data.frame(gender,age) > typeof(df[[1]]) [1] "integer"

Dear List, why does as.data.frame(cbind()) transform numeric variables to factors, once one of the other variablesused is a character vector? # x.1 <- rnorm(10) x.2 <- c(rep("Test",10)) Foo <- as.data.frame(cbind(x.1)) is.factor(Foo$x.1) Foo <- as.data.frame(cbind(x.1,x.2)) is.factor(Foo$x.1) # I assume there is a good reason for this, can somebody explain? Thanks. Best,

Hi there, When I extract data from SQLite to R, the data types (or modes) of the extracted data seems to be determined by the value of the first row. Please see the following example. When I put the missing values first, the column extracted is of the mode character. > str(dbGetQuery(sql.industry, + "select pya_var from annual_data3 + order by

*Problem-1* CASE-I---------(works fine) > var1<-"tom" > var1 [1"tom" > var1<-as.character(var1) > var1 [1] "tom" > var2<-c("tom","harry","kate") > logc<-(var1 %in% var2) > logc [1] TRUE > typeof(var1) [1] "character" > typeof(var2) [1] "character"

This is admittedly minor, and you shouldn't have repeated names in a data frame anyway, but: df <- data.frame(1:3, 1:3, 1:3) # Ok setNames(df, c("x", "y", "")) # Not ok setNames(df, c("x", "", "")) Hadley -- http://hadley.nz

Dear All, on rbind:ing together a number of data.frames, I found that character variables are converted into factors. Since this occurred for a data identifier, it was a little inconvenient and, to me, unexpected. (The help page explains the general procedure used. I also found that on forming a data frame, character variables are converted to factors. The help page on read.table has the

Hello Everyone, I am using R 2.15.0 and I came across this behaviour and I was wondering why I don't get an integer vector or and integer matrix with the following code: > z <- c(1, 2:0, 3, 4:8) > typeof(z) [1] "double" > z <- rbind(1, 2:0, 3, 4:8) Warning message: In rbind(1, 2:0, 3, 4:8) : number of columns of result is not a multiple of vector length (arg

Hi all, I searched through the archives, but couldn't find a fix... Basically, I've got a bunch of numeric vectors and one character vector that I want to bind into a data frame. When I include the character vector as a column in the data frame, all the numeric columns get factored in the data frame, which makes it tough to call those columns for calculations later on. I've tried

Hello R community, I am trying to combine two CSV files that look like this: File A Row_ID_CR, Data1, Data2, Data3 1, aa, bb, cc 2, dd, ee, ff File B Row_ID_N, Src_Row_ID, DataN1 1a, 1, This is comment 1 2a, 1, This is comment 2 3a,