Displaying 1 result from an estimated 1 matches for "ph_conditional".
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am_conditional
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 = data ~...