See zoo-faq number 4:
vignette("zoo-faq")
On Wed, Aug 12, 2009 at 4:46 AM, Mark Breman<breman.m...@gmail.com> wrote:
> Hi,
> I have a csv file with different datatypes:
>
> 2009-01-01, character1, 10, 20.1
> 2009-01-02, character2, 11, 21.1
>
> (I have attached the file to this post)
>
> I read this file with read.zoo as I want a zoo/xts timeseries:
>> t = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE)
>
> If I look at the zoo data all integer/numeric columns are read as
> character:
>> str(t)
> ‘zoo’ series from 2009-01-01 to 2009-01-02
> Data: chr [1:2, 1:3] " character1" " character2" "10" "11" "20.1" "21.1"
> - attr(*, "dimnames")=List of 2
> ..$ : NULL
> ..$ : chr [1:3] "V2" "V3" "V4"
> Index: Class 'Date' num [1:2] 14245 14246
>
> So I try the colClasses parameter with read.zoo but it looks like this does
> not make any difference:
>> t1 = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE,
> colClasses=c("Date", "character", "integer", "numeric"))
>> str(t1)
> ‘zoo’ series from 2009-01-01 to 2009-01-02
> Data: chr [1:2, 1:3] " character1" " character2" "10" "11" "20.1" "21.1"
> - attr(*, "dimnames")=List of 2
> ..$ : NULL
> ..$ : chr [1:3] "V2" "V3" "V4"
> Index: Class 'Date' num [1:2] 14245 14246
>
> Why does read.zoo ignores the colClasses parameter and how do I get
> integer/numeric data into my zoo series?
>
> Regards,
>
> -Mark-
>
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