get_trend: Determine trend information using Sen's methodology and...
In rich-iannone/TrendAnalysis: Trend Analysis using Sen and Kendall Methods
Description
Usage
Arguments
Value
Description
Using a vector of data, The Thiel-Sen method for trend determination will be carried out with a Kendall test for significance.
Usage
1
Arguments
df
a data frame containing at least one column of date-time values, and a column of numeric data for which a trend analysis will be undertaken.
dt_col
the name or column number of date-time values to be used in the analysis.
val_col
the name or column number of numerical values to be used in the analysis.
start_window
an integer representing the start of the windowed data used in the analysis.
window_width
an integer representing the width of the windowed data used in the analysis.
Value
a data frame.
rich-iannone/TrendAnalysis documentation built on May 27, 2019, 7:57 a.m.
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Description Usage Arguments Value
Description
Using a vector of data, The Thiel-Sen method for trend determination will be carried out with a Kendall test for significance.
Usage
1 |
Arguments
df |
a data frame containing at least one column of date-time values, and a column of numeric data for which a trend analysis will be undertaken. |
dt_col |
the name or column number of date-time values to be used in the analysis. |
val_col |
the name or column number of numerical values to be used in the analysis. |
start_window |
an integer representing the start of the windowed data used in the analysis. |
window_width |
an integer representing the width of the windowed data used in the analysis. |
Value
a data frame.
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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