similar to: inconsistent behaviour of c(...)

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:

Does anyone know why a data frame created with empty character columns converts them to integer columns? > df<-data.frame(a=character(0),b=character(0)) > df<-rbind(df,c("a","a")) > typeof(df[1,1]) [1] "integer" AsIs doesn't help: > df<-data.frame(a=I(character(0)),b=I(character(0))) > df<-rbind(df,I(c("a","a")))

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"

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

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: >

*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"

Where is my error?? I have a strange behaviour in R, looks like type conversions are messed = up. Maybe i just make a stupid mistake, but help would be appreciated. To reproduce: expected: > typeof(3) [1] "double" > as.integer(3) [1] 3 > typeof((0.3/0.1)) [1] "double" !!!! strange: > as.integer((0.3/0.1)) [1] 2 also for trunc: >trunc(c(5,7)) [1] 5 7

I have used foreach() for parallel computing but in the current problem, it is not working. Given the volume and type of the data involved in the analysis, I will try to give below the complete code without reproducible example. In short, each R environment will draw a set of separate files, perform the analysis and dump in separate folders. splist <- c("juoc", "juos",

Hi there, I have something that appears to be a factor called drug: Typeof(drug) => Integer As.numeric(drug) gives a long list Levels(drug) gives a long list, too. Now I want something like the summary function does: I want to count how often each level occurs in the given vector. My problem is that summary gives me a list with counts that is incomplete and adds the

Your code generates an error that has nothing to do with dopar. I have no idea what your function stack is supposed to do; you may be inadvertently calling utils::stack which would produce this kind of error: > stack(1:25, RAT = FALSE) Error in data.frame(values = unlist(unname(x)), ind, stringsAsFactors = FALSE) : arguments imply differing number of rows: 25, 0 HTH, Peter On Wed, Dec 6,

Folks: Over the years, many people -- including some who I would consider real expeRts -- have criticized factors and advocated the use (sometimes exclusively) of character vectors instead. I would just like to point out that, for me, factors provide one feature that I find to be very convenient: ordering of levels. ** As an example, suppose one has a character vector of labels

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

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, I would like to convert my "character" sequences in my matrix/ data.frame into "numeric" where it is possible. I would also like to retain my alphabetic character strings in their original forms. "5.1" > 5.1 "hm" > "hm" k<-matrix(c("aa", "bb", 1,2, 4.3, 0), nrow=2) mode(k) <- "numeric" #

On Tue, Jun 30, 2020 at 7:39 PM Will Deacon <will at kernel.org> wrote: > +#define __READ_ONCE(x) \ > +({ \ > + int atomic = 1; \ > + union { __unqual_scalar_typeof(x) __val; char __c[1]; } __u; \ > +

On Tue, Jun 30, 2020 at 7:39 PM Will Deacon <will at kernel.org> wrote: > +#define __READ_ONCE(x) \ > +({ \ > + int atomic = 1; \ > + union { __unqual_scalar_typeof(x) __val; char __c[1]; } __u; \ > +

Hi: I have clustered microarray gene expression data and trying to map between microarray probe, gene, pathway, gene ontology, and homology for a set of (affy) microarray probes. Is there any package in R which facilitates this? I am looking at bioconductor, but till now could not find a solution. A link to some worked example would be appreciated. Thanks and regards. John [[alternative HTML

typeof applied to a factor always seems to return "integer", independently of the type of the levels. This has a strange side effect. When a variable is "imported" into a data frame, its type changes. character variables automatically are converted to factors when imported into data frames. Here is an example: > v1<-1:3 >

coding style fixes. FIXME: check that compiled bin the same1!! --- usr/kinit/initrd.c | 3 ++- usr/kinit/kinit.c | 12 ++++-------- usr/kinit/kinit.h | 20 ++++++++++---------- usr/kinit/name_to_dev.c | 6 +++--- usr/kinit/nfsroot.c | 5 ++--- 5 files changed, 21 insertions(+), 25 deletions(-) diff --git a/usr/kinit/initrd.c b/usr/kinit/initrd.c index

On Thu, 23 May 2019 08:10:44 -0700 Linus Torvalds <torvalds at linux-foundation.org> wrote: > On Thu, May 23, 2019 at 7:00 AM Steven Rostedt <rostedt at goodmis.org> wrote: > > > > +# define roundup_64(x, y) ( \ > > +{ \ > > + typeof(y) __y = y;