time.timeSeries Extracts time positions from a
'timeSeries',
time<-.timeSeries Assign time positions to a
'timeSeries',
sample.timeSeries Resamples a 'timeSeries' object in
time,
sort.timeSeries Sorts reverts a 'timeSeries' object in
time,
rev.timeSeries Reverts a 'timeSeries' object in time,
start.timeSeries Extracts start date of a 'timeSeries'
object,
end.timeSeries Extracts end date of a 'timeSeries'
object. }
## S3 method for class 'timeSeries':
time(x, \dots)
## S3 method for class 'timeSeries':
time(x) <- value
## S3 method for class 'timeSeries':
start(x, \dots)
## S3 method for class 'timeSeries':
end(x, \dots)## S3 method for class 'timeSeries':
sample(x, \dots)
## S3 method for class 'timeSeries':
sort(x, \dots)
## S3 method for class 'timeSeries':
rev(x)
"before", use the data from the row whose position is
just before the unmatched position, or "after", use the
datatime(x).matrix type object to be converted.
[as.vector][as.matrix][as.data.frame] -
[applySeries] -
[cut][end][mergeSeries][plot][print][rev][start] -
an object of class timeSeries.timeSeries
read.timeSeries
as.timeSeries
return a S4 object of class timeSeries.
seriesData
seriesPositions
extract the @.Data and @position slots from a
timeSeries object. Thus, seriesData returns an
object of class matrix, and seriesPositions
returns an object of class timeDate.
is.timeSeries
returns TRUE or FALSE depending on whether its
argument is of timeSeries type or not.
aggregateSeries
applySeries
cutSeries
mergeSeries
returnSeries
revSeries
return a S4 object of class timeSeries.
end, start
return a S4 object of class timedate. These are the
start and end dates of a timeSeries object.
as.vector
as.matrix
as.data.frame
these are methods which convert a S4 object of class timeSeries
either to a vector, a matrix or to a data frame.
plot
lines
points
print
plot and print methods for an object of class timeSeries.
Note that the plot function requires the packages its and
Hmisc.## Create dummy timeSeries:
X = timeSeries(matrix(rnorm(24), 12), timeCalendar())
## series positions -
time(X)Run the code above in your browser using DataLab