> On 27 Feb 2015, at 16:02 , Duncan Murdoch wrote:
>
> Yes. Indexing with a logical NA is probably a mistake, and this is one
> way to signal it without actually triggering a warning or error.
There are cases where it isn't (usually) a mistake, e.g. pch=c(25,24)[sex],
where it is quite crucia
Thank you very much guys!
On Fri, Feb 27, 2015 at 11:04 AM, William Dunlap wrote:
> You could define functions like
>is.true <- function(x) !is.na(x) & x
>is.false <- function(x) !is.na(x) & !x
> and use them in your selections. E.g.,
> > x <- data.frame(a=1:10,b=2:11,c=c(1,NA,3,NA,5,N
You could define functions like
is.true <- function(x) !is.na(x) & x
is.false <- function(x) !is.na(x) & !x
and use them in your selections. E.g.,
> x <- data.frame(a=1:10,b=2:11,c=c(1,NA,3,NA,5,NA,7,NA,NA,10))
> x[is.true(x$c >= 6), ]
a b c
7 7 8 7
10 10 11 10
Bill Dun
On 27/02/2015 10:27 AM, Dimitri Liakhovitski wrote:
> Thank you very much, Duncan.
> All this being said:
>
> What would you say is the most elegant and most safe way to solve such
> a seemingly simple task?
If you have NA values, test for them explicitly, e.g. your original
x[(x$c<6) | is.na(x$
Thank you very much, Duncan.
All this being said:
What would you say is the most elegant and most safe way to solve such
a seemingly simple task?
Thank you!
On Fri, Feb 27, 2015 at 10:02 AM, Duncan Murdoch
wrote:
> On 27/02/2015 9:49 AM, Dimitri Liakhovitski wrote:
>> So, Duncan, do I understan
On 27/02/2015 9:49 AM, Dimitri Liakhovitski wrote:
> So, Duncan, do I understand you correctly:
>
> When I use x$x<6, R doesn't know if it's TRUE or FALSE, so it returns
> a logical value of NA.
Yes, when x$x is NA. (Though I think you meant x$c.)
> When this logical value is applied to a row,
So, Duncan, do I understand you correctly:
When I use x$x<6, R doesn't know if it's TRUE or FALSE, so it returns
a logical value of NA.
When this logical value is applied to a row, the R says: hell, I don't
know if I should keep it or not, so, just in case, I am going to keep
it, but I'll replace
On 27/02/2015 9:04 AM, Dimitri Liakhovitski wrote:
> I know how to get the output I need, but I would benefit from an
> explanation why R behaves the way it does.
>
> # I have a data frame x:
> x = data.frame(a=1:10,b=2:11,c=c(1,NA,3,NA,5,NA,7,NA,NA,10))
> x
> # I want to toss rows in x that conta
I know how to get the output I need, but I would benefit from an
explanation why R behaves the way it does.
# I have a data frame x:
x = data.frame(a=1:10,b=2:11,c=c(1,NA,3,NA,5,NA,7,NA,NA,10))
x
# I want to toss rows in x that contain values >=6. But I don't want
to toss my NAs there.
subset(x,c
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