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lmm_antarctic's Introduction

Doing statistical hypothesis tests

  • 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
  • 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

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