t_multiseries: t_multiseries
In je2062a/MultiSeries-Intervention-Significance: Analyzes Interrupted Multiple Time-Series Data
Description
Usage
Arguments
Author(s)
Examples
View source: R/t_multiseries.R
Description
This function provides simple analysis of multiple time-series data sets. This function requires that the time-series data be pre-synchronized so that time of intervention is zero (t = 0) for all series. The function returns the same results as a regualr t-test, where the p-value relates how likely the post-intervention data was unaffected by the intervention.
Usage
1
Arguments
x
A data frame containing multiple time-series.
Author(s)
James D. Ensor
Examples
1
je2062a/MultiSeries-Intervention-Significance documentation built on May 28, 2019, 2:31 a.m.
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Description Usage Arguments Author(s) Examples
View source: R/t_multiseries.R
Description
This function provides simple analysis of multiple time-series data sets. This function requires that the time-series data be pre-synchronized so that time of intervention is zero (t = 0) for all series. The function returns the same results as a regualr t-test, where the p-value relates how likely the post-intervention data was unaffected by the intervention.
Usage
1 |
Arguments
x |
A data frame containing multiple time-series. |
Author(s)
James D. Ensor
Examples
1 |
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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