[R] as.zoo question

2006-10-30 Thread Leeds, Mark \(IED\) 
this is probably a question for gabor or achim but maybe someone else
can answer it in case they are not around ?
 
Ifr you paste the code below ( again you would need the zoo and chron
libraries to be installed ),
you should get the error
 
Error in Ops.POSIXt(frequency, freq) : %% not defined for POSIXt
objects.
 
What  I want to do is take the numeric vector, lt, and turn it into a
zoo object using
the index of bayesfactor ? but i think i am doing something wrong.
 
maybe as.zoo expects something else other than a vector or maybe the
elements of lt
 need to be unique ?  it doesn't sound like lack of uniqueness is the
problem
form the error. thanks to anyone who would bother to paste the code or
could
tell me the problem. 
 
#---


 
bayesfactor-structure(c(0.133850433767341, 0.127505873914653,
0.097757994080402, 
0.324562703639163, 0.114562946148566, 0.283795371391936,
0.9678194561964, 
0.338586999584375, 0.135003441260579, 0.215395275848400,
0.327083442440481, 
0.164810629677337, 0.144040559454059, 0.181455513072478,
0.129252354959480, 
0.123264924228799, 0.325252571911978, 2.80852371783714,
0.809908249342204, 
0.624384923054961, 0.216870224939086, 0.157696528982145,
0.166016564358535, 
0.173687057125139, 0.150821633236067, 0.2430468137645,
0.854984063927109, 
0.241767533140137, 0.163060042017201, 0.495942843741025,
29.5233864009281, 
64.1263988614399, 80.5032273753947, 18.7433294450866, 2.37477344132821, 
2.74811299975449, 8.6709767238735, 1.45810462283319, 0.641296294877387, 
0.532305913663132, 0.506016009063049, 0.714235796507194,
0.877754321270327, 
0.888167760154018, 0.908285299222526, 0.79698098937542,
0.573452272577509, 
0.8159526626772, 0.996710951332215, 0.887917149684703,
0.951644190080987, 
1.85771801589324, 3.49393985909198, 4.21174333281804, 3.81915573606739, 
4.22536274298039, 4.18355088851037, 4.42599684236279, 3.83974932512314, 
1.6996083496491, 1.01414288248082, 0.820775001454904, 0.76228386994647, 
1.06157643535834, 1.41500363895303, 1.66238340719379, 1.66459194376001, 
2.89941981293673, 3.12622131071540, 2.5453954903191, 2.28829891176501, 
2.18799931254973, 1.53144708705511, 1.39950525087250, 1.28050833200472, 
1.14952307627248, 1.14181384544291, 0.922409537373749,
0.935484555235005, 
0.901665993356154, 0.890055544480275, 0.868401571267226,
0.8677885803414, 
0.897604762926691, 0.841753954861793, 0.870938651757163,
0.81254996456992, 
0.81499410166, 0.899730469158174, 0.93997787435783,
0.859961998580039, 
0.86795417554376, 0.897246596004909, 1.13008276895139, 1.24862389046983,

1.24486010790566, 1.1178505048961, 1.22854262450414, 1.35879837119693, 
1.7138940559014, 1.70018632820926, 1.42758456262715, 1.35841545310882, 
1.10609206096155, 1.17877367462301, 1.26894809654439, 1.27141596311207, 
1.27978970261800, 1.27354103448998, 1.31701136171458, 1.30050806806998, 
1.28365731671798, 1.20664901565754), index = structure(c(1151904000, 
1151904600, 1151905200, 1151905800, 1151906400, 1151907000, 1151907600, 
1151908200, 1151908800, 1151909400, 115191, 1151910600, 1151911200, 
1151911800, 1151912400, 1151913000, 1151913600, 1151914200, 1151914800, 
1151915400, 1151916000, 1151916600, 1151917200, 1151917800, 1151918400, 
1151919000, 1151919600, 1151920200, 1151920800, 1151921400, 1151922000, 
1151922600, 1151923200, 1151923800, 1151924400, 1151925000, 1151925600, 
1151926200, 1151926800, 1151927400, 1151928000, 1151928600, 1151929200, 
1151929800, 1151930400, 1151931000, 1151931600, 1151932200, 1151932800, 
1151933400, 1151934000, 1151934600, 1151935200, 1151935800, 1151936400, 
1151937000, 1151937600, 1151938200, 1151938800, 1151939400, 115194, 
1151940600, 1151941200, 1151941800, 1151942400, 1151943000, 1151943600, 
1151944200, 1151944800, 1151945400, 1151946000, 1151946600, 1151947200, 
1151947800, 1151948400, 1151949000, 1151949600, 1151950200, 1151950800, 
1151951400, 1151952000, 1151952600, 1151953200, 1151953800, 1151954400, 
1151955000, 1151955600, 1151956200, 1151956800, 1151957400, 1151958000, 
1151958600, 1151959200, 1151959800, 1151960400, 1151961000, 1151961600, 
1151962200, 1151962800, 1151963400, 1151964000, 1151964600, 1151965200, 
1151965800, 1151966400, 1151967000, 1151967600, 1151968200, 1151968800, 
1151969400, 115197, 1151970600, 1151971200), class = c(POSIXt, 
POSIXct)), class = zoo)
 
lt-c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 
18, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 1, 1, 1, 1, 1, 1, 
1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 1, 1, 1, 1, 
1, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 1, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)

lt-as.zoo(lt,index(bayesfactor))
 
#---

Re: [R] as.zoo question

2006-10-30 Thread Leeds, Mark \(IED\) 
oops, for the pasting to work,
You would have to get rid of the blank line that occurs during the
bayesfactor construction.
Thanks.


-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Leeds, Mark (IED)
Sent: Monday, October 30, 2006 6:15 PM
To: r-help@stat.math.ethz.ch
Subject: [R] as.zoo question

this is probably a question for gabor or achim but maybe someone else
can answer it in case they are not around ?
 
Ifr you paste the code below ( again you would need the zoo and chron
libraries to be installed ), you should get the error
 
Error in Ops.POSIXt(frequency, freq) : %% not defined for POSIXt
objects.
 
What  I want to do is take the numeric vector, lt, and turn it into a
zoo object using the index of bayesfactor ? but i think i am doing
something wrong.
 
maybe as.zoo expects something else other than a vector or maybe the
elements of lt  need to be unique ?  it doesn't sound like lack of
uniqueness is the problem form the error. thanks to anyone who would
bother to paste the code or could tell me the problem. 
 
#---


 
bayesfactor-structure(c(0.133850433767341, 0.127505873914653,
0.097757994080402, 0.324562703639163, 0.114562946148566,
0.283795371391936, 0.9678194561964, 0.338586999584375,
0.135003441260579, 0.215395275848400, 0.327083442440481,
0.164810629677337, 0.144040559454059, 0.181455513072478,
0.129252354959480, 0.123264924228799, 0.325252571911978,
2.80852371783714, 0.809908249342204, 0.624384923054961,
0.216870224939086, 0.157696528982145, 0.166016564358535,
0.173687057125139, 0.150821633236067, 0.2430468137645,
0.854984063927109, 0.241767533140137, 0.163060042017201,
0.495942843741025, 29.5233864009281, 64.1263988614399, 80.5032273753947,
18.7433294450866, 2.37477344132821, 2.74811299975449, 8.6709767238735,
1.45810462283319, 0.641296294877387, 0.532305913663132,
0.506016009063049, 0.714235796507194, 0.877754321270327,
0.888167760154018, 0.908285299222526, 0.79698098937542,
0.573452272577509, 0.8159526626772, 0.996710951332215,
0.887917149684703, 0.951644190080987, 1.85771801589324,
3.49393985909198, 4.21174333281804, 3.81915573606739, 4.22536274298039,
4.18355088851037, 4.42599684236279, 3.83974932512314, 1.6996083496491,
1.01414288248082, 0.820775001454904, 0.76228386994647, 1.06157643535834,
1.41500363895303, 1.66238340719379, 1.66459194376001, 2.89941981293673,
3.12622131071540, 2.5453954903191, 2.28829891176501, 2.18799931254973,
1.53144708705511, 1.39950525087250, 1.28050833200472, 1.14952307627248,
1.14181384544291, 0.922409537373749, 0.935484555235005,
0.901665993356154, 0.890055544480275, 0.868401571267226,
0.8677885803414, 0.897604762926691, 0.841753954861793,
0.870938651757163, 0.81254996456992, 0.81499410166,
0.899730469158174, 0.93997787435783, 0.859961998580039,
0.86795417554376, 0.897246596004909, 1.13008276895139, 1.24862389046983,

1.24486010790566, 1.1178505048961, 1.22854262450414, 1.35879837119693,
1.7138940559014, 1.70018632820926, 1.42758456262715, 1.35841545310882,
1.10609206096155, 1.17877367462301, 1.26894809654439, 1.27141596311207,
1.27978970261800, 1.27354103448998, 1.31701136171458, 1.30050806806998,
1.28365731671798, 1.20664901565754), index = structure(c(1151904000,
1151904600, 1151905200, 1151905800, 1151906400, 1151907000, 1151907600,
1151908200, 1151908800, 1151909400, 115191, 1151910600, 1151911200,
1151911800, 1151912400, 1151913000, 1151913600, 1151914200, 1151914800,
1151915400, 1151916000, 1151916600, 1151917200, 1151917800, 1151918400,
1151919000, 1151919600, 1151920200, 1151920800, 1151921400, 1151922000,
1151922600, 1151923200, 1151923800, 1151924400, 1151925000, 1151925600,
1151926200, 1151926800, 1151927400, 1151928000, 1151928600, 1151929200,
1151929800, 1151930400, 1151931000, 1151931600, 1151932200, 1151932800,
1151933400, 1151934000, 1151934600, 1151935200, 1151935800, 1151936400,
1151937000, 1151937600, 1151938200, 1151938800, 1151939400, 115194,
1151940600, 1151941200, 1151941800, 1151942400, 1151943000, 1151943600,
1151944200, 1151944800, 1151945400, 1151946000, 1151946600, 1151947200,
1151947800, 1151948400, 1151949000, 1151949600, 1151950200, 1151950800,
1151951400, 1151952000, 1151952600, 1151953200, 1151953800, 1151954400,
1151955000, 1151955600, 1151956200, 1151956800, 1151957400, 1151958000,
1151958600, 1151959200, 1151959800, 1151960400, 1151961000, 1151961600,
1151962200, 1151962800, 1151963400, 1151964000, 1151964600, 1151965200,
1151965800, 1151966400, 1151967000, 1151967600, 1151968200, 1151968800,
1151969400, 115197, 1151970600, 1151971200), class = c(POSIXt,
POSIXct)), class = zoo)
 
lt-c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 1,
1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4,
5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1

Re: [R] as.zoo question

2006-10-30 Thread Gabor Grothendieck 
It should be zoo, not as.zoo.  We are constructing a zoo object
from scratch here, not converting a time series object of a different
class to zoo.

On 10/30/06, Leeds, Mark (IED) [EMAIL PROTECTED] wrote:
 oops, for the pasting to work,
 You would have to get rid of the blank line that occurs during the
 bayesfactor construction.
 Thanks.


 -Original Message-
 From: [EMAIL PROTECTED]
 [mailto:[EMAIL PROTECTED] On Behalf Of Leeds, Mark (IED)
 Sent: Monday, October 30, 2006 6:15 PM
 To: r-help@stat.math.ethz.ch
 Subject: [R] as.zoo question

 this is probably a question for gabor or achim but maybe someone else
 can answer it in case they are not around ?

 Ifr you paste the code below ( again you would need the zoo and chron
 libraries to be installed ), you should get the error

 Error in Ops.POSIXt(frequency, freq) : %% not defined for POSIXt
 objects.

 What  I want to do is take the numeric vector, lt, and turn it into a
 zoo object using the index of bayesfactor ? but i think i am doing
 something wrong.

 maybe as.zoo expects something else other than a vector or maybe the
 elements of lt  need to be unique ?  it doesn't sound like lack of
 uniqueness is the problem form the error. thanks to anyone who would
 bother to paste the code or could tell me the problem.

 #---
 
 

 bayesfactor-structure(c(0.133850433767341, 0.127505873914653,
 0.097757994080402, 0.324562703639163, 0.114562946148566,
 0.283795371391936, 0.9678194561964, 0.338586999584375,
 0.135003441260579, 0.215395275848400, 0.327083442440481,
 0.164810629677337, 0.144040559454059, 0.181455513072478,
 0.129252354959480, 0.123264924228799, 0.325252571911978,
 2.80852371783714, 0.809908249342204, 0.624384923054961,
 0.216870224939086, 0.157696528982145, 0.166016564358535,
 0.173687057125139, 0.150821633236067, 0.2430468137645,
 0.854984063927109, 0.241767533140137, 0.163060042017201,
 0.495942843741025, 29.5233864009281, 64.1263988614399, 80.5032273753947,
 18.7433294450866, 2.37477344132821, 2.74811299975449, 8.6709767238735,
 1.45810462283319, 0.641296294877387, 0.532305913663132,
 0.506016009063049, 0.714235796507194, 0.877754321270327,
 0.888167760154018, 0.908285299222526, 0.79698098937542,
 0.573452272577509, 0.8159526626772, 0.996710951332215,
 0.887917149684703, 0.951644190080987, 1.85771801589324,
 3.49393985909198, 4.21174333281804, 3.81915573606739, 4.22536274298039,
 4.18355088851037, 4.42599684236279, 3.83974932512314, 1.6996083496491,
 1.01414288248082, 0.820775001454904, 0.76228386994647, 1.06157643535834,
 1.41500363895303, 1.66238340719379, 1.66459194376001, 2.89941981293673,
 3.12622131071540, 2.5453954903191, 2.28829891176501, 2.18799931254973,
 1.53144708705511, 1.39950525087250, 1.28050833200472, 1.14952307627248,
 1.14181384544291, 0.922409537373749, 0.935484555235005,
 0.901665993356154, 0.890055544480275, 0.868401571267226,
 0.8677885803414, 0.897604762926691, 0.841753954861793,
 0.870938651757163, 0.81254996456992, 0.81499410166,
 0.899730469158174, 0.93997787435783, 0.859961998580039,
 0.86795417554376, 0.897246596004909, 1.13008276895139, 1.24862389046983,

 1.24486010790566, 1.1178505048961, 1.22854262450414, 1.35879837119693,
 1.7138940559014, 1.70018632820926, 1.42758456262715, 1.35841545310882,
 1.10609206096155, 1.17877367462301, 1.26894809654439, 1.27141596311207,
 1.27978970261800, 1.27354103448998, 1.31701136171458, 1.30050806806998,
 1.28365731671798, 1.20664901565754), index = structure(c(1151904000,
 1151904600, 1151905200, 1151905800, 1151906400, 1151907000, 1151907600,
 1151908200, 1151908800, 1151909400, 115191, 1151910600, 1151911200,
 1151911800, 1151912400, 1151913000, 1151913600, 1151914200, 1151914800,
 1151915400, 1151916000, 1151916600, 1151917200, 1151917800, 1151918400,
 1151919000, 1151919600, 1151920200, 1151920800, 1151921400, 1151922000,
 1151922600, 1151923200, 1151923800, 1151924400, 1151925000, 1151925600,
 1151926200, 1151926800, 1151927400, 1151928000, 1151928600, 1151929200,
 1151929800, 1151930400, 1151931000, 1151931600, 1151932200, 1151932800,
 1151933400, 1151934000, 1151934600, 1151935200, 1151935800, 1151936400,
 1151937000, 1151937600, 1151938200, 1151938800, 1151939400, 115194,
 1151940600, 1151941200, 1151941800, 1151942400, 1151943000, 1151943600,
 1151944200, 1151944800, 1151945400, 1151946000, 1151946600, 1151947200,
 1151947800, 1151948400, 1151949000, 1151949600, 1151950200, 1151950800,
 1151951400, 1151952000, 1151952600, 1151953200, 1151953800, 1151954400,
 1151955000, 1151955600, 1151956200, 1151956800, 1151957400, 1151958000,
 1151958600, 1151959200, 1151959800, 1151960400, 1151961000, 1151961600,
 1151962200, 1151962800, 1151963400, 1151964000, 1151964600, 1151965200,
 1151965800, 1151966400, 1151967000, 1151967600, 1151968200, 1151968800,
 1151969400, 115197, 1151970600, 1151971200), class