| Type: | Package |
| Title: | A Modified DTW Algorithm for Stratigraphic Time Series Alignment |
| Version: | 0.1.0 |
| Author: | Cedric Hagen |
| Maintainer: | Cedric Hagen <ch0934@princeton.edu> |
| Description: | A dynamic time warping (DTW) algorithm for stratigraphic alignment, translated into R from the original published 'MATLAB' code by Hay et al. (2019) <doi:10.1130/G46019.1>. The DTW algorithm incorporates two geologically relevant parameters (g and edge) for augmenting the typical DTW cost matrix, allowing for a range of sedimentologic and chronologic conditions to be explored, as well as the generation of an alignment library (as opposed to a single alignment solution). The g parameter relates to the relative sediment accumulation rate between the two time series records, while the edge parameter relates to the amount of total shared time between the records. Note that this algorithm is used for all DTW alignments in the Align Shiny application, detailed in Hagen et al. (in review). |
| Imports: | matlab, stats |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.2.3 |
| Depends: | R (≥ 2.10) |
| NeedsCompilation: | no |
| Packaged: | 2023-04-03 23:11:15 UTC; cedrichagen |
| Repository: | CRAN |
| Date/Publication: | 2023-04-04 19:50:06 UTC |
Synthetic Candidate Data
Description
A synthetic record, resembling d13C data, for testing the DTW algorithm
Usage
candidate_data
Format
## 'candidate_data' An array with 50 rows and 2 columns:
- d13c
Synthetic d13C values
- m
Synthetic meterage values
...
Source
Cedric Hagen
dtw_r
Description
dtw_r
Usage
dtw_r(target, candidate, g, edge)
Arguments
target |
The target time series |
candidate |
The candidate time series |
g |
The g parameter value for alignment |
edge |
The edge parameter value for alignment |
Value
The aligned candidate dataset (ri,t_out) and the corresponding Pearson's correlation coefficient (xc).
Examples
dtw_r(target_data,candidate_data,0.98,0.15)
Synthetic Target Data
Description
A synthetic record, resembling d13C data, for testing the DTW algorithm
Usage
target_data
Format
## 'target_data' An array with 251 rows and 2 columns:
- d13c
Synthetic d13C values
- m
Synthetic meterage values
...
Source
Cedric Hagen