autocorrelation: Calculate the first order auto-correlation
In zhanruicai/EMAanalysis:
Description
Usage
Arguments
References
Examples
Description
This function calculate the first order auto-correlation, i.e., the correlation between consecutive observations, for the EMA data in one subject.
A higher value indicates that measured variable (for example, emotion) is sustained over time and shows less homeostatic recovery.
Usage
1
Arguments
x
numeric vector of measurements for one subject
References
\insertRefbuu2020associationEMAanalysis
Examples
1
2
x <- 1:10
autocorrelation(x)
zhanruicai/EMAanalysis documentation built on Feb. 7, 2021, 12:16 a.m.
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Description Usage Arguments References Examples
Description
This function calculate the first order auto-correlation, i.e., the correlation between consecutive observations, for the EMA data in one subject. A higher value indicates that measured variable (for example, emotion) is sustained over time and shows less homeostatic recovery.
Usage
1 |
Arguments
x |
numeric vector of measurements for one subject |
References
\insertRefbuu2020associationEMAanalysis
Examples
1 2 | x <- 1:10
autocorrelation(x)
|
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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