[R] merge xts objects with different data types ?

[Joshua Ulrich]

On Thu, Sep 3, 2015 at 7:40 PM, ce <zadig_1 at excite.com> wrote:
>
> Hello
>
> Let's say some questions about merging  xts variables :
>
> a<- xts("abc", Sys.Date())
> b <- xts("def", Sys.Date())
> c <- xts(1, Sys.Date())
>
>> merge(a,b)
>            a     b
> 2015-09-03 "abc" "def"
>> merge(a,b,c)
>             a  b c
> 2015-09-03 NA NA 1
> Warning messages:
> 1: In merge.xts(a, b, c) : NAs introduced by coercion
> 2: In merge.xts(a, b, c) : NAs introduced by coercion
> 3: In merge.xts(a, b, c) : NAs introduced by coercion
> 4: In merge.xts(a, b, c) : NAs introduced by coercion
>
> How I can merge  a, b ,c correctly ? Another example is with Binary variables :
>
>> e<- xts(TRUE, Sys.Date())
>> e
>            [,1]
> 2015-09-03 TRUE
>> merge(e,b)
>            e  b
> 2015-09-03 1 NA
> Warning message:
> In merge.xts(e, b) : NAs introduced by coercion
>
xts objects are a matrix with an index attribute, and you can't mix
types in a matrix.  So all the objects you merge need to be the same
type.  For objects a, b, and c: you need to convert c to character:
storage.mode(c) <- "character"

Also, merge.xts currently only supports n-way merges integer, numeric,
and logical types (see https://github.com/joshuaulrich/xts/issues/44).
So you need to merge a and b first, then merge that result with c.
You can do that by calling merge.xts many times, or via Reduce:
merge(merge(a,b),c)
Reduce(merge, list(a,b,c))

>
> My second question is how I can convert an xts object to factor :
>
>> d <- merge(a,b)
>> d
>            a     b
> 2015-09-03 "abc" "def"
>> factor(d, levels = c("abc","def"))
>   a   b
> abc def
> Levels: abc def
>
> Date disappears here?
>
I'm not sure what you expected; factors don't have dates.  It's not
clear what you're trying to do here.

> Thanks for your help
> ce
>
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Joshua Ulrich  |  about.me/joshuaulrich
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