- Key method
- Linear mixed-models(lmms)
- Data is repeated measured(along to the time) and there are some missing values
- To compare the effects of the two stations in Antarctic on sleep/feelings responses
- Posterior analysis: two-sample/paired t-test with bonferroni correction
- To test the differences of responses related to sleep/feelings between the two stations in Antarctic
- Doing two-sample t-test with Bonferroni correction for the two-stations when the effect of stations is significant in lmm
- Doing paired t-test with Bonferroni correction for the measured time-points when the effect of time is significant in lmm
- Linear mixed-models(lmms)
- Unfortunately, Due to business security, data and the summary of the analysis result cannot be provided
- Only R code is provided
- [Done] 2021. 07
- The example of EDA before doing lmms
G-ABCwork/LMM_Antarctic
[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
RBSD-2-Clause