Description Usage Arguments Details Value See Also Examples
Computes magnitude statistics for breakpoints.
1 2 3 |
object |
an object of class |
interval |
the (one-side) interval over which to compute the magnitude for the columns
|
breaks |
how many breaks to use or which statistic to use for estimating it,
see |
component |
which covariate(s) used for fitting the |
... |
ignored |
The breakpoint magnitude is estimated using several statistics: the difference (diff) in the fitted value immediately before and after the break, and the root mean squared deviation (RMSD), mean absolute deviation (MAD) and mean deviation (MD) between the fitted values of the model preceding the break extrapolated over interval samples after the break, and vice versa. RMSD and MAD should be more robust estimators of magnitude compared to diff.
A list with the following elements, compatible with the magnitude format as output by bfast
:
a matrix containing the magnitude estimates (in columns) for each breakpoint (in rows),
sample number at which the largest break was detected, twice
fitted values before and after the largest break
the maximum diff magnitude of the largest break
time of the largest break (same as m.x
, but single value)
1 2 3 4 5 6 7 8 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.