Hello,
I think there is an inconsistency in the handling of the compact form of the
row.names attributes.
When n is the number of rows of a data.frame, the compact form is
c(NA_integer_,-n), as in:
> d <- data.frame(x=1:10)
> .Internal(inspect(d))
@104f174a8 19 VECSXP g0c1 [OBJ,NAM(2),ATT]
Hi Sandip,
> Sorry for the wrong interpretation. So how to avoid that ? I mean how to
> forcefully make it character vector ?
As indicated by Joshua, ?data.frame will show you the way:
df <- data.frame(gender, age, stringsAsFactors = FALSE)
Best,
/g
___
Sorry for the wrong interpretation. So how to avoid that ? I mean how to
forcefully make it character vector ?
This one , the character vector vector column is showing integer. May be I
am missing any point.
df
X1.3 name
11 abc
22 def
33 xyz
> typeof(df[[2]])
[1] "integer"
>
>
>
On Apr 1, 2014 8:04 PM, "Sandip Nandi" wrote:
>
> Hi ,
>
> I am concerned about the return value of typeof in character column in a
dataframe. I expect it to be of character ,it returns integer instead .
>
Of course typeof returns integer; typeof returns the internal storage type
of an object. Fac
Hi ,
I am concerned about the return value of typeof in character column in a
dataframe. I expect it to be of character ,it returns integer instead .
Thanks
On Tue, Apr 1, 2014 at 5:56 PM, Joshua Ulrich wrote:
>
> On Apr 1, 2014 7:48 PM, "Sandip Nandi" wrote:
> >
> > Hi ,
> >
> > I want to
Hi Jeff ,
I dont think so ,
> df[[0]]
Error in .subset2(x, i, exact = exact) :
attempt to select less than one element
>
>
> df[[1]]
[1] F M M F F M F F
Levels: F M
> df[[2]]
[1] 23 25 27 29 31 33 35 37
Thanks
On Tue, Apr 1, 2014 at 5:51 PM, Jeff Johnson wrote:
> Perhaps because indexes st
On Apr 1, 2014 7:48 PM, "Sandip Nandi" wrote:
>
> 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] "i
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" > Why is this integer . *Should not it be
