Prof Brian Ripley writes:
> On Mon, 2 May 2011, Michael Bach wrote:
>
>> Uwe Ligges writes:
>>
>>> On 29.04.2011 17:10, Michael Bach wrote:
Dear R Users,
I am doing stats::decompose() on 4 different time series. When I issue
csdA<- decompose(tsA)
plot(csdA)
>>
On Mon, 2 May 2011, Michael Bach wrote:
Uwe Ligges writes:
On 29.04.2011 17:10, Michael Bach wrote:
Dear R Users,
I am doing stats::decompose() on 4 different time series. When I issue
csdA<- decompose(tsA)
plot(csdA)
I get a summary plot for observed, trend, seasonal and random componen
Uwe Ligges writes:
> On 29.04.2011 17:10, Michael Bach wrote:
>> Dear R Users,
>>
>> I am doing stats::decompose() on 4 different time series. When I issue
>>
>> csdA<- decompose(tsA)
>> plot(csdA)
>>
>> I get a summary plot for observed, trend, seasonal and random components
>> of decomposed ti
On 29.04.2011 17:10, Michael Bach wrote:
Dear R Users,
I am doing stats::decompose() on 4 different time series. When I issue
csdA<- decompose(tsA)
plot(csdA)
I get a summary plot for observed, trend, seasonal and random components
of decomposed time series tsA. As I understand it, the obj
Dear R Users,
I am doing stats::decompose() on 4 different time series. When I issue
csdA <- decompose(tsA)
plot(csdA)
I get a summary plot for observed, trend, seasonal and random components
of decomposed time series tsA. As I understand it, the object returned
by decompose() has it's own plo
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