Hello,
So I have been trying to carry out a simple test, that appears to be not so simple at all. All I am trying to do is take data regarding temperatures of different rooms in a building, taken throughout a time period, a recording everyday. Now what I was to do is find out if over this month long study period, the rooms had significantly different temperatures. Temperature is my dependent variable because I am interest in how cool these rooms are over the summer.
So something like this:
lm(temperature ~ Room + time)
Does something like this work? Can someone write a code example for me please? I am using R.
Thank you so much!
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3780998/
Article Time series regression model for infectious disease and weather
https://petolau.github.io/Forecast-double-seasonal-time-series-with-multiple-linear-regression-in-R/
https://research-repository.griffith.edu.au/bitstream/handle/10072/36879/65720_1.pdf?sequence=1
https://pdfs.semanticscholar.org/20a8/e109bf5f99532dbe0a866c896cc30379a4c1.pdf
If the hypothesis to test is "the rooms have no significant difference in temperature over the time period" then why not opt for ANOVA followed by Tukey's HSD?
The code snippet you have provided will work. You can further use:
myRegressionRelation
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