Displaying 5 results from an estimated 5 matches for "rollaply".
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rollapply
2009 Jun 19
1
function rollapply
Hi,
I faced with problem when start using function - rollapply(returns, 3 ,
mean)
Error in UseMethod("rollapply") :
No suitable Method for "rollaply"
How can I fix the problem? Thank you for help.
--
Best regards,
Andy Fetsun
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2009 Jul 07
1
Error in Rolling window of function - rollapply
Dear Colleagues,
I have faced with the problem that function rollaply with rolling window for
calculation of volatility doesn't give the all results of calculations.
I have run the rolling window for calculation in Excel and obtained that the
number of outputs for Excel is 36 and for R is 18. The total number of
observations is 37. In the attachment you can fin...
2011 Jun 25
1
Moving average in a data table
Hi,
I'm trying to figure out common approach on calculating MA on a dataset
that contains column "time".
After digging around, I believe functions rollmean and rollaply should
be used.
However I don't quite understand the requirements for the underlying data.
Should it be zoo object type? Formatted in a special way?
As an example, I'm looking to get calculated avg=MA(variable) over 15
sec period on "time_sec" column:
date variable...
2010 Jul 19
3
"ACCTGMX" to "1223400" in R?
Hi,
I am a newbie in R and was working on some DNA data represented as strings
of A,C,T and G (also wild-character like M and X). I use the Bioconductor
package in R. Currently I need to convert a string of the form "ACCTGMX" to
"1223400" i.e. A is replaced by 1, C with 2, T with 3, G with 4 and any
other character with a 0. I checked with 'replace' and also with a
2010 Dec 16
2
moving average with gaps in time series
I have a time series with interval of 2.5 minutes, or 24 observations per
hour. I am trying to find a 1 hr moving average, looking backward, so
that moving average at n = mean(n-23 : n)
The time series has about 1.5 million rows, with occasional gaps due to
poor data quality. I only want to take a 1 hour moving average for those
periods that are complete, i.e. have 24 observations in the