Description Usage Arguments Value Author(s) Examples
Functions takes the output from g.getmeta and information about the study protocol to label impute invalid time segments in the data.
| 1 2 | 
| M | output from g.getmeta | 
| I | output from g.inspectfile | 
| strategy | how to deal with knowledge about study protocol. value = 1 means select data
based on  | 
| hrs.del.start | how many HOURS after start of experiment did wearing of monitor start? | 
| hrs.del.end | how many HOURS before the end of the experiment did wearing of monitor definitely end? | 
| maxdur | How many DAYS after start of experiment did experiment definitely stop? (set to zero if unknown = default) | 
| ndayswindow | If  | 
| desiredtz | see g.getmeta | 
| metashort | imputed short epoch variables | 
| rout | matrix to clarify when data was imputed for each long epoch time window and the reason for imputation. Value = 1 indicates imputation. Columns 1 = monitor non wear, column 2 = clipping, column 3 = additional nonwear, column 4 = protocol based exclusion and column5 = sum of column 1,2,3 and 4. | 
| averageday | matrix with n columns for n metrics values and m rows for m short epoch time windows in an average 24 hours period | 
Vincent T van Hees <vincentvanhees@gmail.com>
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## Not run: 
  #inspect file:
  I = g.inspectfile(datafile)
  
  #autocalibration:
  C = g.calibrate(datafile) 
  
  #get meta-data:
  M = g.getmeta(datafile)
## End(Not run)
data(data.getmeta)
data(data.inspectfile)
#impute meta-data:
IMP = g.impute(M=data.getmeta, I=data.inspectfile)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.