Description Usage Arguments Details Value Note See Also Examples

Returns a time series like the input but shifted in time.

1 | ```
shift(x, k=1)
``` |

`x` |
a univariate or multivariate regular time series.
Missing values ( |

`k` |
the number of positions the input series is to lead the new series.
That is, the resulting series is shifted forwards in time;
negative values lag the series backwards in time.
Non-integer values of |

`shift`

is a generic function.
Its default method calls `lag(x,-k).`

`shift`

also has a method
for `series`

objects,
which works for both `timeSeries`

and `signalSeries`

objects.

To align the times of several new-style time series, use

`seriesMerge`

.To align the times of several old-style time series, use

`ts.intersect`

or`ts.union`

.To compute a lagged/leading series with same time position but shifted data slot, use

`seriesLag`

. (`seriesLag`

also works for both`timeSeries`

and`signalSeries`

objects.)

returns a time series with the same data as `x`

,
but with positions lagged by `k`

steps.

The `shift`

function replaces the `lag`

function,
which illogically had the opposite sign of shifting.
(The `lag`

function has been retained only because
it is used in other functions.)

`seriesMerge`

,
`lag`

,
`lag.plot`

,
`ts.intersect`

,
`ts.union`

.

1 2 3 | ```
x <- signalSeries(data=data.frame(a=1:10, b=letters[1:10]), positions=1:10)
x5 <- shift(x,5)
seriesMerge(x, x5, pos="union")
``` |

```
Loading required package: splusTimeDate
Attaching package: 'splusTimeDate'
The following objects are masked from 'package:base':
months, quarters, sort.list, weekdays
Positions a.1 b.1 a.2 b.2
1 1 a NA NA
2 2 b NA NA
3 3 c NA NA
4 4 d NA NA
5 5 e NA NA
6 6 f 1 a
7 7 g 2 b
8 8 h 3 c
9 9 i 4 d
10 10 j 5 e
11 NA NA 6 f
12 NA NA 7 g
13 NA NA 8 h
14 NA NA 9 i
15 NA NA 10 j
```

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