Very sorry - I mistunderstood and confused split with index.column -
totally my fault.
Ok, now I've run this line:
z <- read.zoo(OrigData, index.column = 2, split = "Brand")
And I am getting:
Error in merge.zoo(` Plus` = c(NA, 98L, 95L, 97L, NA, 98L, 97L, 98L, NA, :
series cannot be merged with non-unique index entries in a series
In addition: There were 11 warnings (use warnings() to see them)
And under warnings() it says:
1: In zoo(rval4[[i]], ix[[i]]) :
some methods for “zoo” objects do not work if the index entries in
‘order.by’ are not unique
On Fri, Jul 23, 2010 at 1:13 PM, David Winsemius <dwinsem...@comcast.net> wrote:
> But, but, but.... Did you read my message about the need to correctly
> specify index columns?
>
>
> The problem is that read.zoo is reading your first column as an index and
> it's actually the second column that should be used for that purpose.
> --
> David.
>
> On Jul 23, 2010, at 1:01 PM, Dimitri Liakhovitski wrote:
>
>> Strange, I did attach. Attaching again. Maybe the file just doesn't go
>> through?
>> I have:
>>
>> names(OrigData):
>> [1] "Brand" "Month" "Value"
>>
>> I read ?read.zoo
>> According to that index should be the column number.
>> I thought it should be split = 1 in my case - because I am splitting by
>> Brand.
>> But neither split = 1 nor split =2 work.
>> And split ="Brand" does not work either. Why?
>>
>> D.
>>
>> On Fri, Jul 23, 2010 at 12:52 PM, David Winsemius
>> <dwinsem...@comcast.net> wrote:
>>>
>>> ?read.zoo
>>>
>>> You didn't specify the index column correctly.
>>> On Jul 23, 2010, at 12:36 PM, Dimitri Liakhovitski wrote:
>>>
>>>> Hello!
>>>>
>>>> I have a data set similar to the data set "monthly" in the example
>>>> below:
>>>>
>>>>
>>>>
>>>> monthly<-data.frame(month=c(20090301,20090401,20090501,20100301,20100401,20090301,20090401,20090501,20100301,20100401),monthly.value=c(100,200,300,101,201,10,20,30,11,21),market=c("Market
>>>> A","Market A", "Market A","Market A", "Market A","Market B", "Market
>>>> B","Market B","Market B", "Market B"))
>>>> monthly$month<-as.character(monthly$month)
>>>> monthly$month<-as.Date(monthly$month,"%Y%m%d")
>>>> (monthly)
>>>> str(monthly)
>>>>
>>>>
>>>> I am trying to use read.zoo - like in 3 lines below:
>>>> library(zoo)
>>>> z <- read.zoo(monthly, split = "market")
>>>> (z)
>>>>
>>>> With the artificially produced data set above, it works just fine.
>>>> However, with my data it gives me an error:
>>>>
>>>> OrigData<-read.csv("OrigData.csv")
>>>> OrigData$Month<-as.character(OrigData$Month)
>>>> OrigData$Month<-as.Date(OrigData$Month,"%m/%d/%y")
>>>> str(OrigData)
>>>>
>>>> ### The result of str(OrigData) is:
>>>> 'data.frame': 440 obs. of 3 variables:
>>>> $ Brand : Factor w/ 11 levels "aBrand","bBrand",..:
>>>> Month :Class 'Date' num [1:440] 13514 13545 13573 13604,...
>>>> Value: int NA NA NA 100 100 100 100 100 100 99
>>>
>>> ?read.zoo
>>>
>>> You didn't specify the index column correctly. In this case it needs to
>>> be =
>>> 2.
>>>
>>>>
>>>> Then I try:
>>>> z <- read.zoo(OrigData, split = "Brand")
>>>>
>>>> And get the error:
>>>> Error in read.zoo(OrigData, split = "Brand") :
>>>> index has 440 bad entries at data rows: 1 2 3 4 5 6 7 8 9 10 11 12 13
>>>>
>>>> But the structure of my OrigData is exactly the same as of monthly. OK
>>>> - OrigData always has a few NAs in "Value" coming first - but that's
>>>> consistent for all brands.
>>>> Any idea what might be wrong?
>>>> Thanks a lot!
>>>>
>>>> Just in case -attaching the actual file.
>>>>
>>> No. Not attached.
>>>
>>> --
>>>
>>> David Winsemius, MD
>>> West Hartford, CT
>>>
>>>
>>
>>
>>
>> --
>> Dimitri Liakhovitski
>> Ninah Consulting
>> www.ninah.com
>> <OrigData.csv>
>
> David Winsemius, MD
> West Hartford, CT
>
>
--
Dimitri Liakhovitski
Ninah Consulting
www.ninah.com
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