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postGGIR
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Download and install postGGIR package within the R console
Install from CRAN:
install.packages("postGGIR")
Install from Github:
library("remotes")
install_github("cran/postGGIR")
Install by package version:
library("remotes")
install_version("postGGIR", "2.4.0.2")
Attach the package and use:
library("postGGIR")
Maintained by
Wei Guo
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All associated links for this package
First Published: 2021-03-01
Latest Update: 2022-01-06
Description:
Generate all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.
How to cite:
Wei Guo (2021). postGGIR: Data Processing after Running 'GGIR' for Accelerometer Data. R package version 2.4.0.2, https://cran.r-project.org/web/packages/postGGIR. Accessed 05 Jan. 2025.
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Complete documentation for postGGIR
Functions, R codes and Examples using
the postGGIR R package
Some associated functions: ActCosinor2 . ActCosinor_long2 . ActExtendCosinor2 . ActExtendCosinor_long2 . DataShrink . IS2 . IS_long2 . IV2 . IV_long2 . PAfun . RA2 . RA_long2 . SVDmiss2 . Time2 . Time_long2 . Tvol2 . afterggir . bin_data2 . create.postGGIR . data.imputation . fragmentation2 . fragmentation_long2 . ggir.datatransform . ggir.summary . jive.predict2 . pheno.plot . wear_flag .
Some associated R codes: ActCosinor2.R . ActExtendCosinor2.R . IS2.R . IV2.R . PHENO_1.plot.R . RA2.R . Time2.R . Tvol2.R . bin_data2.R . create.R . fragmentation2.R . part0_maincall.R . part1_csv_data_transform.R . part2_summary.pipeline.R . part3_data_shrink.R . part4_data_imputation.R . r.jive.predict.edit.R . wear_flag.R . Full postGGIR package functions and examples
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