window_sliding {alkahest} | R Documentation |

## Sliding Windows

### Description

There will be `(m - 1) / 2`

points both at the beginning and at the end
of the data series for which a complete `m`

-width window cannot be
obtained. To prevent data loss, progressively wider/narrower windows are
evaluated at both ends of the data series.

### Usage

```
window_sliding(n, m, ...)
## S4 method for signature 'integer,integer'
window_sliding(n, m, i = NULL)
## S4 method for signature 'numeric,numeric'
window_sliding(n, m, i = NULL)
```

### Arguments

`n` |
An |

`m` |
An odd |

`...` |
Currently not used. |

`i` |
A vector |

### Value

Returns a length-`n`

`list`

of `integer`

vectors (indices of the
data points in each window).

### Author(s)

N. Frerebeau

### See Also

Other moving windows:
`window_tumbling()`

### Examples

```
## Length of the data series
n <- 10
## Progressive sliding windows
sliding <- window_sliding(n = n, m = 5)
plot(NULL, xlim = c(1, n), ylim = c(1, 10.5), xlab = "Index", ylab = "Window")
for (i in seq_along(sliding)) {
w <- sliding[[i]]
text(x = w, y = rep(i, length(w)), labels = w, pos = 3)
lines(w, rep(i, length(w)), type = "l", lwd = 2)
}
## Tumbling windows
## (compare with drop = TRUE)
tumbling <- window_tumbling(n = n, m = 3, drop = FALSE)
plot(NULL, xlim = c(1, n), ylim = c(1, 5.5), xlab = "Index", ylab = "Window")
for (i in seq_along(tumbling)) {
w <- tumbling[[i]]
text(x = w, y = rep(i, length(w)), labels = w, pos = 3)
lines(w, rep(i, length(w)), type = "l", lwd = 2)
}
```

*alkahest*version 1.1.1 Index]