MwStatistics.Rcheck/00_pkg_src/MwStatistics/README.md

In WilliamKopans/MwStat: Moving Window Statistic Calculations

MwStatistics

MwStatistics allows you to easily calculate seven common statistics on time series data using a moving window.

Getting Started

Submitting to CRAN shortly. Fingers crossed!

Usage

General Usage.

MwStatistics(dat = NULL, TimeVarCol = 1, ColA = 2, ColB = 3, win = NULL,
stat = NULL, overlap = 0, genplot = T, genDataFrame = F)

Example

MwStatistics(dat = data.frame(replicate(10,sample(0:10,1000,rep=TRUE))),
TimeVarCol = 1, ColA = 2, ColB = 3, win = 2,
stat = "Correlation", genplot = T, genDataFrame = F, overlap = 0.5)

Availible statistics: - "Correlation" = Correlation

• "P-Value" = P-Value

• "SDevX" = Standard Deviation of variable A

• "SDevY" = Standard Deviation of variable B

• "SErrorSlope" = Standard Error of the slope

• "SErrorIntercept" = Standard Error of the intercept

• "Intercept" = Intercept (Linear regression)

• "Slope" = Slope (Linear regression)

Arguments:

• dat

  • Dataset name

• TimeVarCol

  • Column number of time series variable

• ColA

  • Column number of first variable

• ColB

  • Column number of second variable

• win

  • Window size

• stat

  • Statistic to calculate

• overlap

  • How much the windows overlap

• genplot

  • Generate a plot of recorded statistic

• genDataFrame

  • Generate dataframe with recorded statistic values

Installing

Submitting to CRAN shortly. Fingers crossed!

Running The Function

Fill in the correct information, replacing the sample information provided and run by selecting and clicking command enter.

Contributing

If you find any improvements, please email me at [e-mail].

Authors

• William Kopans - WilliamKopans

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

Inspiration from MwCor from Astrochron.

WilliamKopans/MwStat documentation built on April 20, 2023, 10:28 p.m.