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mMARCH.AC

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Version

Install

install.packages('mMARCH.AC')

Monthly Downloads

577

Version

2.9.4.0

License

GPL-3

Issues

2

Pull Requests

0

Stars

2

Forks

1

Maintainer

Wei Guo

Last Published

August 23rd, 2024

Functions in mMARCH.AC (2.9.4.0)

Time2

Time of A Certain activity State
makeSleepDataMatrix

Make a sleep matrix based on the sleep onset and wake up time
fragmentation2

Fragmentation Metrics
fragmentation_long2

Fragmentation Metrics for Whole Dataset
jive.predict2

Modified jive.predict function (package: r.jive)
get_mean_sd_hour

get subject average of time variables
mMARCH.AC.maincall

Main Call for Data Processing after Runing GGIR for Accelerometer Data
ggir.summary

Description of all accelerometer files in the GGIR output
ggir.datatransform

Transform the data and merge all accelerometer files in the GGIR output
pheno.plot

View phenotype variables
wear_flag

Create Wear/Nonwear Flags
ActCosinor2

Cosinor Model for Circadian Rhythmicity
DataShrink

Annotating the merged data for all accelerometer files in the GGIR output
IS_long2

Interdaily Statbility for the Whole Dataset
ActCosinor_long2

Cosinor Model for Circadian Rhythmicity for the Whole Dataset
IV2

Intradaily Variability
IV_long2

Intradaily Variability for the Whole Dataset
PAfun

Timne Metrics for Whole Dataset
create.shell

Create a template shell script of mMARCH.AC
bin_data2

Bin data into longer windows
data.imputation

Data imputation for the cleaned data with annotation
Time_long2

Timne Metrics for Whole Dataset
Tvol2

Total Volumen of Activity for Whole Dataset
SVDmiss2

Modified SVDmiss function (package SpatioTemporal)
ActExtendCosinor2

Extended Cosinor Model for Circadian Rhythmicity
RA_long2

Relative Amplitude for the Whole Datset
IS2

Interdaily Statbility
ActExtendCosinor_long2

Cosinor Model for Circadian Rhythmicity for the Whole Dataset
RA2

Relative Amplitude