Enable g.calibrate to handle temperature data from ad-hoc csv file

[l-k-]

Fixes #991

Checklist before merging:

• Existing tests still work (check by running the test suite, e.g. from RStudio).
• Added tests (if you added functionality) or fixed existing test (if you fixed a bug).
• Updated or expanded the documentation.
• Updated release notes in inst/NEWS.Rd with a user-readable summary. Please, include references to relevant issues or PR discussions.
• Added your name to the contributors lists in the DESCRIPTION file, if you think you made a significant contribution.

[l-k-]

I tested this using the file sent by Joanna on the message board, and I'm getting a bunch of warnings like this:

In max(ts$lightpeak[startM5[1]:(startM5[1] + (wini * 60 *  ... :
  no non-missing arguments to max; returning -Inf

This gets thrown from https://github.com/wadpac/GGIR/blob/master/R/g.part5_analyseSegment.R#L266 because ts$lightpeak column is all NA.
(I was still getting them with the code from your PR as well)

I'm not very familiar with part 5, so I thought I'd ask in case you'll know right away if this is a problem. Otherwise I'll take a closer look tomorrow (Wednesday).

[codecov]

Codecov Report

Attention: 6 lines in your changes are missing coverage. Please review.

Comparison is base (5777400) 78.44% compared to head (cc12bf8) 78.41%.
Report is 34 commits behind head on master.

❗ Current head cc12bf8 differs from pull request most recent head 83fe8dd. Consider uploading reports for the commit 83fe8dd to get more accurate results

Files	Patch %	Lines
R/g.calibrate.R	25.00%	6 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #993      +/-   ##
==========================================
- Coverage   78.44%   78.41%   -0.03%     
==========================================
  Files          99       99              
  Lines       13386    13370      -16     
==========================================
- Hits        10500    10484      -16     
  Misses       2886     2886              

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[vincentvanhees]

Thanks Lena! I now see that the underlying problem is that most of GGIR's code was not prepared to handle temperature data from adhoc csv format data. Although read.myacc.csv() can read that column, g.getmeta() and g.calibrate() have not been written to use it. I am now preparing a new PR into this PR to address this.