ts_decomposition: Time Series Decompositions
In taylorgrant/GSPtrends: Shiny interface for Google Trends
View source: R/ts_decomposition.R
ts_decomposition R Documentation
Time Series Decompositions
Description
If the trends data is longer than 3 years in length, function runs an STL decomposition on each series.
See Hyndman "Forecasting: Principles and Practice" https://otexts.com/fpp3/stlfeatures.html for details.
Usage
ts_decomposition(tbl, term)
Arguments
tbl
Data frame returned by Google Trends API
term
Keyword to focus on for decompositions
Value
List of graphs - STL decomposition; Seasonally adjusted plot; Seasonality v Trend
Examples
## Not run:
decomp(tbl, directory, project)
## End(Not run)
taylorgrant/GSPtrends documentation built on Sept. 14, 2024, 5:43 p.m.
R Package Documentation
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View source: R/ts_decomposition.R
| ts_decomposition | R Documentation |
Time Series Decompositions
Description
If the trends data is longer than 3 years in length, function runs an STL decomposition on each series.
See Hyndman "Forecasting: Principles and Practice" https://otexts.com/fpp3/stlfeatures.html for details.
Usage
ts_decomposition(tbl, term)
Arguments
tbl |
Data frame returned by Google Trends API |
term |
Keyword to focus on for decompositions |
Value
List of graphs - STL decomposition; Seasonally adjusted plot; Seasonality v Trend
Examples
## Not run:
decomp(tbl, directory, project)
## End(Not run)
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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