Methods for Computing Spatial, Temporal, and Spatiotemporal
Statistics
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Documentation for package ‘synchrony’ version 0.3.8
Help Pages
| synchrony-package | Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics |
| bird.traits | bird trait dataset |
| community.sync | Compute community-wide synchrony and its significance via Monte Carlo randomizations |
| concordance | Kendall's W |
| coord2dist | coord2dist |
| correlated.matrix | correlated.matrix |
| find.minmax | Find min/max of a time series |
| kendall.w | Kendall's W |
| latlon2dist | latlon2dist |
| meancorr | Compute mean column-wise correlation and determine its significance via Monte Carlo randomizations |
| peaks | Find the proportion of local minima/maxima common to both time series and compute its significance via Monte Carlo randomizations |
| phase.partnered | Phase partnered time series |
| phase.sync | Phase synchrony of quasi-periodic time series |
| pisco.data | PISCO multi-year and spatially-explicit mussel and environmental dataset |
| plot.synchrony | Plot 'synchrony' objects |
| plot.vario | Plot 'vario' objects |
| plot.variofit | Plot 'variofit' objects |
| surrogate.ts | Create surrogate time series via Markov process |
| synchrony | Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics |
| vario | vario |
| vario.fit | vario.fit |
| vario.func | vario.func |