Man pages for mMARCH.AC
Processing of Accelerometry Data with 'GGIR' in mMARCH
| ActCosinor2 | Cosinor Model for Circadian Rhythmicity |
| ActCosinor_long2 | Cosinor Model for Circadian Rhythmicity for the Whole Dataset |
| ActExtendCosinor2 | Extended Cosinor Model for Circadian Rhythmicity |
| ActExtendCosinor_long2 | Cosinor Model for Circadian Rhythmicity for the Whole Dataset |
| bin_data2 | Bin data into longer windows |
| create.shell | Create a template shell script of mMARCH.AC |
| data.imputation | Data imputation for the cleaned data with annotation |
| DataShrink | Annotating the merged data for all accelerometer files in the... |
| fragmentation2 | Fragmentation Metrics |
| fragmentation_long2 | Fragmentation Metrics for Whole Dataset |
| get_mean_sd_hour | get subject average of time variables |
| ggir.datatransform | Transform the data and merge all accelerometer files in the... |
| ggir.summary | Description of all accelerometer files in the GGIR output |
| IS2 | Interdaily Statbility |
| IS_long2 | Interdaily Statbility for the Whole Dataset |
| IV2 | Intradaily Variability |
| IV_long2 | Intradaily Variability for the Whole Dataset |
| jive.predict2 | Modified jive.predict function (package: r.jive) |
| makeSleepDataMatrix | Make a sleep matrix based on the sleep onset and wake up time |
| mMARCH.AC.maincall | Main Call for Data Processing after Runing GGIR for... |
| PAfun | Timne Metrics for Whole Dataset |
| pheno.plot | View phenotype variables |
| RA2 | Relative Amplitude |
| RA_long2 | Relative Amplitude for the Whole Datset |
| SVDmiss2 | Modified SVDmiss function (package SpatioTemporal) |
| Time2 | Time of A Certain activity State |
| Time_long2 | Timne Metrics for Whole Dataset |
| Tvol2 | Total Volumen of Activity for Whole Dataset |
| wear_flag | Create Wear/Nonwear Flags |
