Question

我正在尝试使用R中的GGIR shell函数（从中复制代码）来分析从基因激活加速度计收集的身体活动数据。该代码的第4部分将需要比较由加速度计生成的睡眠数据和自我报告的睡眠日志。 “ loglocation”参数要求您输入手动睡眠日志的CSV文件名。但是，我的研究不包括自我报告的睡眠日志，因为我主要对身体活动水平感兴趣，而不对睡眠分析感兴趣。如何修改代码以排除睡眠日志，并使代码成功运行并生成必要的可视数据？请在下面的R代码中进行身体活动分析。

library(GGIR)
g.shell.GGIR(#=======================================
             # INPUT NEEDED:
             mode=c(1,2,3,4,5),
             datadir="C:/hadiza/mydata",
             outputdir="D:/myresults",
             f0=1, f1=2,
             #-------------------------------
             # Part 1:
             #-------------------------------
             # Key functions: reading file, auto-calibration, and extracting features
             do.enmo = TRUE,             do.anglez=TRUE,
             chunksize=1,                printsummary=TRUE,
             #-------------------------------
             # Part 2:
             #-------------------------------
             strategy = 2,               ndayswindow=7,
             hrs.del.start = 0,          hrs.del.end = 0,
             maxdur = 9,                 includedaycrit = 16,
             winhr = c(5,10),
             qlevels = c(c(1380/1440),c(1410/1440)),
             qwindow=c(0,24),
             ilevels = c(seq(0,400,by=50),8000),
             mvpathreshold =c(100,120),
             bout.metric = 4,
             closedbout=FALSE,
             #-------------------------------
             # Part 3:
             #-------------------------------
             # Key functions: Sleep detection
             timethreshold= c(5),        anglethreshold=5,
             ignorenonwear = TRUE,
             #-------------------------------
             # Part 4:
             #-------------------------------
             # Key functions: Integrating sleep log (if available) with sleep detection
             # storing day and person specific summaries of sleep
             excludefirstlast = TRUE,
             includenightcrit = 16,
             def.noc.sleep = c(),
             loglocation= "C:/mydata/sleeplog.csv",
             outliers.only = TRUE,
             criterror = 4,
             relyonsleeplog = FALSE,
             sleeplogidnum = TRUE,
             colid=1,
             coln1=2,
             do.visual = TRUE,
             nnights = 9,
             #-------------------------------
             # Part 5:
             # Key functions: Merging physical activity with sleep analyses
             #-------------------------------
             threshold.lig = c(30), threshold.mod = c(100),  threshold.vig = c(400),
             boutcriter = 0.8,      boutcriter.in = 0.9,     boutcriter.lig = 0.8,
             boutcriter.mvpa = 0.8, boutdur.in = c(1,10,30), boutdur.lig = c(1,10),
             boutdur.mvpa = c(1),   timewindow = c("WW"),
             #-----------------------------------
             # Report generation
             #-------------------------------
             # Key functions: Generating reports based on meta-data
             do.report=c(2,4,5),
             visualreport=TRUE,     dofirstpage = TRUE,
             viewingwindow=1)

Answer 1

评论这部分loglocation= "C:/mydata/sleeplog.csv"对我有用。


             #-------------------------------
             # Part 4:
             #-------------------------------
             # Key functions: Integrating sleep log (if available) with sleep detection
             # storing day and person specific summaries of sleep
             excludefirstlast = TRUE,
             includenightcrit = 16,
             def.noc.sleep = c(),
             #loglocation= "C:/mydata/sleeplog.csv",
             outliers.only = TRUE,
             criterror = 4,
             relyonsleeplog = FALSE,
             sleeplogidnum = TRUE,
             colid=1,
             coln1=2,
             do.visual = TRUE,
             nnights = 9,

这与该视频https://youtu.be/S8YPTrYNWdU?t=219

中显示的解决方案相同

如果我没有睡眠日志，如何在R中修改G.Shell.GGIR函数的第4部分

1 个答案: