[R] function approx interpolation of time series data sets

[e-letter]

On 18/01/2013, Gabor Grothendieck <ggrothendieck at gmail.com> wrote:
> On Fri, Jan 18, 2013 at 7:31 AM, e-letter <inpost at gmail.com> wrote:
>> On 16/01/2013, Rui Barradas <ruipbarradas at sapo.pt> wrote:
>>> Hello,
>>>
>>> Like this?
>>>
>>>
>>> data1 <- read.table(text = "
>>> 01:23:40 5
>>> 01:23:45 10
>>> 01:23:50 12
>>> 01:23:55 7
>>> ")
>>>
>>> data2 <- read.table(text = "
>>> 01:23:42
>>> 01:23:47
>>> 01:23:51
>>> 01:23:54
>>> ")
>>>
>>> approx(as.POSIXct(data1$V1, format = "%H:%M:%S"), y = data1$V2, xout =
>>> as.POSIXct(data2$V1, format = "%H:%M:%S"))
>>>
>>
>> Thanks. I have later realised that if data frames are unequal (i.e.
>> data2edit
>>
>> 01:23:42
>> 01:23:47
>> 01:23:51
>> 01:23:54
>> 01:23:58
>> 01:23:59
>>
>> the result for 'y' is
>>
>> $y
>> [1] NA NA NA NA NA NA
>>
>> Similar error occurs with the 'zoo' package.
>
>
> its not clear precisely what you tried with zoo but have a look at this:
>
>> data1 <- "
> +  01:23:40 5
> +  01:23:45 10
> +  01:23:50 12
> +  01:23:55 7"
>>
>> data2 <- "
> +  01:23:42
> +  01:23:47
> +  01:23:51
> +  01:23:54"
>>
>> library(zoo)
>> library(chron)
>> z1 <- read.zoo(text = data1, FUN = times)
>> z2 <- read.zoo(text = data2, FUN = times)
>> na.approx(z1, xout = time(z2))
> 01:23:42 01:23:47 01:23:51 01:23:54
>      7.0     10.8     11.0      8.0
>

With respect to zoo package, looks like I tried to apply zoo package
to the vectors directly, not converting them to zoo objects using
'read.zoo ...'.