monthly_bins: Compute the seasonal (monthly) components of time series
In dbarneche/envPred: Calculate Environmental Predictability for Even and Uneven Time Series Data
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Compute the seasonal (monthly) components of time series
Usage
1
monthly_bins(resids, dates)
Arguments
resids
A numeric vector containing the residual
variation of a raw time series after removing the linear trend.
dates
An object of class Date of format YYYY-MM-DD
(must be in progressive chronological order).
Details
This algorithm follows the steps described in Marshall and Burgess 2015 Ecology Letters 18: 1461–0248, doi: 10.1111/ele.12402.
Value
A data.frame containing the a numeric
vector containing predicted (interpolated) de-trended residuals ('interpolated_seasons'), and
a numeric vector containing unpredicted de-trended residuals
'resid_time_series'. See details.
Author(s)
Diego Barneche and Scott Burgess.
See Also
dbarneche/envPred documentation built on June 28, 2020, 5:04 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Compute the seasonal (monthly) components of time series
Usage
1 | monthly_bins(resids, dates)
|
Arguments
resids |
A |
dates |
An object of class |
Details
This algorithm follows the steps described in Marshall and Burgess 2015 Ecology Letters 18: 1461–0248, doi: 10.1111/ele.12402.
Value
A data.frame containing the a numeric
vector containing predicted (interpolated) de-trended residuals ('interpolated_seasons'), and
a numeric vector containing unpredicted de-trended residuals
'resid_time_series'. See details.
Author(s)
Diego Barneche and Scott Burgess.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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