search for: ph_condit

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2018 Mar 22
1
adjusted values
....006635512 962 -0.17058 0.8646 des_days48 0.0112579 0.005452614 962 2.06469 0.0392 I can clearly use the previous results to compare the estimations of each "des_day" to the intercept, using the provided t-statistics. Alternatively, I could use post-hoc tests (z-statistics): > ph_conditional <- c("des_days1 = 0", "des_days14 = 0", "des_days48 = 0"); > lev.ph <- glht(lev.lm, linfct = ph_conditional); > summary(lev.ph) Simultaneous Tests for General Linear Hypotheses Fit: lme.formula(fixed = da...