[R] Embed function strips out date index

[Manussawee Sukunta]

Thank you for all your help.  After some sleep last night, I started
fresh on the problem with a little clearer thinking.  I thought over
what Jonathan had said...  and I just decided to bypass indexing my
data after passing it through the embed function all together.  I
still was able to perform the error vector model regressions (I hope
they were correct!) with no error.  I was able to handchecked some of
the calculations from the embed function (in "series.d"), and they
seemed to make sense.

Again, thank you!
Manussawee

On Wed, Jun 30, 2010 at 4:48 PM, Gabor Grothendieck
<ggrothendieck at gmail.com> wrote:
> On Wed, Jun 30, 2010 at 4:32 PM, Manussawee Sukunta
> <msukunta at illinoisalumni.org> wrote:
>> Hi,
>>
>> I'm having especially hard time today and couldn't find any
>> clue/answer through the internet.  I hope you can help.
>>
>> I'm in a process of writing a script to estimate error correction
>> model, and I was following an example in Bernhard Pfaff's Analysis of
>> Integrated and Cointegrated Time Series with R.  I have the following
>> price data:
>>
>>> head(series,15)
>>            PX_SETTLE PX_SETTLE.1
>> 2009-01-02    4515.0      925.50
>> 2009-01-05    4540.5      927.50
>> 2009-01-06    4603.5      930.50
>> 2009-01-07    4470.5      905.25
>> 2009-01-08    4474.5      906.75
>> 2009-01-09    4430.5      885.50
>> 2009-01-12    4402.0      868.00
>> 2009-01-13    4343.5      868.50
>> 2009-01-14    4130.5      839.75
>> 2009-01-15    4070.5      839.25
>> 2009-01-16    4129.5      848.50
>> 2009-01-20    4032.0      806.00
>> 2009-01-21    4018.0      836.75
>> 2009-01-22    4011.0      825.50
>> 2009-01-23    3998.0      823.50
>>
>> Then I defined
>> series.d = embed(diff(series),dim=2)
>>
>> which resulted in
>>> head(series.d,15)
>>         [,1]   [,2]   [,3]   [,4]
>>  [1,]   25.5   2.00     NA     NA
>>  [2,]   63.0   3.00   25.5   2.00
>>  [3,] -133.0 -25.25   63.0   3.00
>>  [4,]    4.0   1.50 -133.0 -25.25
>>  [5,]  -44.0 -21.25    4.0   1.50
>>  [6,]  -28.5 -17.50  -44.0 -21.25
>>  [7,]  -58.5   0.50  -28.5 -17.50
>>  [8,] -213.0 -28.75  -58.5   0.50
>>  [9,]  -60.0  -0.50 -213.0 -28.75
>> [10,]   59.0   9.25  -60.0  -0.50
>> [11,]  -97.5 -42.50   59.0   9.25
>> [12,]  -14.0  30.75  -97.5 -42.50
>> [13,]   -7.0 -11.25  -14.0  30.75
>> [14,]  -13.0  -2.00   -7.0 -11.25
>> [15,]  169.0   7.25  -13.0  -2.00
>>
>> The new data series.d now has no date index.  I'm not sure how to get
>> it back.  I tried to xts --> order.by = index(series), but the vector
>> lengths are now not the same.  I feel like the answer might be
>> obvious, but I just can't see it.  Again, I tried searching various
>> forums and sites, but I couldn't find my answer.  I feel like I'm just
>> going around a circle.  I hope someone can help me and shed some light
>> on this problem.
>>
>
> Cannot tell exactly what you are doing without reproducible data and
> code but you should be able to do it with zoo or xts.  Try this as an
> example:
>
>> Lines <- "Date PX_SETTLE PX_SETTLE.1
> + 2009-01-02    4515.0      925.50
> + 2009-01-05    4540.5      927.50
> + 2009-01-06    4603.5      930.50
> + 2009-01-07    4470.5      905.25
> + 2009-01-08    4474.5      906.75
> + 2009-01-09    4430.5      885.50
> + 2009-01-12    4402.0      868.00
> + 2009-01-13    4343.5      868.50
> + 2009-01-14    4130.5      839.75
> + 2009-01-15    4070.5      839.25
> + 2009-01-16    4129.5      848.50
> + 2009-01-20    4032.0      806.00
> + 2009-01-21    4018.0      836.75
> + 2009-01-22    4011.0      825.50
> + 2009-01-23    3998.0      823.50"
>>
>> library(zoo)
>>
>> # z <- read.zoo("myfile.txt", header = TRUE)
>> z <- read.zoo(textConnection(Lines), header = TRUE)
>> z
>           PX_SETTLE PX_SETTLE.1
> 2009-01-02    4515.0      925.50
> 2009-01-05    4540.5      927.50
> 2009-01-06    4603.5      930.50
> 2009-01-07    4470.5      905.25
> 2009-01-08    4474.5      906.75
> 2009-01-09    4430.5      885.50
> 2009-01-12    4402.0      868.00
> 2009-01-13    4343.5      868.50
> 2009-01-14    4130.5      839.75
> 2009-01-15    4070.5      839.25
> 2009-01-16    4129.5      848.50
> 2009-01-20    4032.0      806.00
> 2009-01-21    4018.0      836.75
> 2009-01-22    4011.0      825.50
> 2009-01-23    3998.0      823.50
>> diff(z)
>           PX_SETTLE PX_SETTLE.1
> 2009-01-05      25.5        2.00
> 2009-01-06      63.0        3.00
> 2009-01-07    -133.0      -25.25
> 2009-01-08       4.0        1.50
> 2009-01-09     -44.0      -21.25
> 2009-01-12     -28.5      -17.50
> 2009-01-13     -58.5        0.50
> 2009-01-14    -213.0      -28.75
> 2009-01-15     -60.0       -0.50
> 2009-01-16      59.0        9.25
> 2009-01-20     -97.5      -42.50
> 2009-01-21     -14.0       30.75
> 2009-01-22      -7.0      -11.25
> 2009-01-23     -13.0       -2.00
>