create.signalSeries: Converts various time series to an object of class
In wmtsa: Wavelet Methods for Time Series Analysis

Description Usage Arguments Value See Also Examples

Converts numeric data to an object of class containing one dimensional data. The input data is assumed to be uniformly sampled.

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create.signalSeries(x=NULL, position=list(from=1,by=1,units=character()),
    from=NULL, by=NULL, to=NULL, length.out=NULL,
    units=character(), title.data=character(), documentation=character(), na.rm=TRUE)

`by`	a numeric containing the sampling rate at which the values in `data` should be extracted. This parameter must coordinate with the `position` arguments and can be used in combination with the `by`, `to`, or `length.out` arguments. This argument is not the same as the `position`\$`by` argument which denotes the sampling rate of the original `data`. Default: `NULL`.
`documentation`	a string used to describe the input `data`. Default: `character()`.
`from`	a `list` containing the arguments `from, by` and `to` which describe the position(s) of the input `data`. All position arguments need not be specified as missing members will be filled in by their default values. Default: `NULL`.
`length.out`	an integer containing the maximum number of values to extract from `data`. Because `data` is a finite length sequence, the actual number of values returned may be less than that specified by this argument depending upon the conditions imposed by the `from` and `by` arguments. The `length.out` argument should not be specified if both the `from` and `to` arguments are specified. Default: `NULL`.
`na.rm`	a logical flag used to indicate if NaN values should be removed from the input. Default: `TRUE`.
`position`	a `list` containing the arguments `from, by` and `to` which describe the position(s) of the input `data`. All position arguments need not be specified as missing members will be filled in by their default values. Default: `list(from=1, by=1, units=character())`.
`title.data`	a string representing the name of the input `data`. Default: `character()`.
`to`	a numeric containing the end point in `data` from which the values should be extracted. This parameter must coordinate with the `position` arguments and can be used in combination with the `by` and `to` arguments. The `length.out` argument should not be specified if both the `from` and `to` arguments are specified. Default: `NULL`.
`units`	a string denoting the units of the time series. Default: `character()`.
`x`	a numeric vector, matrix or an object of class `ts` (uniform sampling assumed). If a matrix, the longest first row or column is extracted. Default: `NULL` (no data).

an object of class signalSeries.

make.signal.

## convert an explicitly developed numeric vector 
x <- 1:10
create.signalSeries(x)

## now impose hypothetical positions on the data 
create.signalSeries(x, pos=list(from=0.3, by=0.1))

## extract the values from position 0.5 onward 
create.signalSeries(x, pos=list(from=0.3, by=0.1), from=0.5)

## extract the values from position 0.5 onward, 
## but keep only the first 3 values of the 
## extraction 
create.signalSeries(x, pos=list(from=0.3, by=0.1), from=0.5, length=3)

## extract the values from position 0.5 onward and 
## skip every other point (sample the data at 
## 0.2 position intervals) 
create.signalSeries(x, pos=list(from=0.3, by=0.1), from=0.5, by=0.2)

## simply return the first 4 values, and supply a 
## title and some documentation comments to the 
## data 
create.signalSeries(x, length=4, title="Faux Data", doc="An example")