## S3 method for class 'default':
as.timeSeries(x, \dots)
## S3 method for class 'ts':
as.timeSeries(x, \dots)
## S3 method for class 'data.frame':
as.timeSeries(x, \dots)
## S3 method for class 'character':
as.timeSeries(x, \dots)
## S3 method for class 'zoo':
as.timeSeries(x, \dots) ## S3 method for class 'timeSeries':
as.matrix(x, \dots)
## S3 method for class 'timeSeries':
as.ts(x, \dots)
## S3 method for class 'timeSeries':
as.data.frame(x, row.names = NULL, optional = FALSE, \dots)
## S3 method for class 'timeSeries':
as.ts(x, \dots)
TRUE
, setting row names and converting
column names (to syntactic names) is optional.NULL
or a character vector giving the row names for the
data frame. Missing values are not allowed.as.timeSeries
returns a S4 object of class 'timeSeries'.
Functions as.numeric
,
as.data.frame
,
as.matrix
,
as.ts
return depending on the generic function a numeric vector, a
data frame, a matrix, or an object of class ts
.as.timeSeries
Generic to convert an object to a 'timeSeries',
as.timeSeries.default
Returns the unchanged object,
as.timeSeries.numeric
Converts from a numeric vector,
as.timeSseries.data.frame
Converts from a numeric vector,
as.timeSeries.matrix
Converts from a matrix,
as.timeSeries.ts
Converts from an object of class 'ts',
as.timeSeries.character
Converts from a named demo file,
as.timeSeries.zoo
Converts an object of class zoo. }
Functions to transform 'timeSeries' objects into other objects:
as.matrix.timeSeries
Coerces a 'timeSeries' to a matrix,
as.data.frame.timeSeries
Coerces a 'timeSeries' to a data.frame,
as.ts.timeSeries
S3: Coerces a 'timeSeries' to a 'ts' object.
as.ts.timeSeries
S3: Coerces a 'timeSeries' to a 'logical' object. }## Create an Artificial timeSeries Object - setRmetricsOptions(myFinCenter = "GMT") charvec <- timeCalendar() data <- matrix(rnorm(12)) TS <- timeSeries(data, charvec, units = "RAND") TS ## Coerce to Vector - as.vector(TS) ## Coerce to Matrix - as.matrix(TS) ## Coerce to Data Frame - as.data.frame(TS)