## Loading required package: Matrix
## Loading required package: mvtnorm
## Loading required package: TH.data
## Warning: number of observations <= rank(Z); variance-covariance matrix
## will be unidentifiable
##
## Simultaneous Tests for General Linear Hypotheses
##
## Fit: lmer(formula = log(TrailsBtestSec) ~ Age + IPVstatus + Sex +
## PovStat + (Age | HNDid) + (1 | subclass) + Age:PovStat +
## IPVstatus:Sex, data = IPVandCognitionDataSet2, na.action = na.omit)
##
## Linear Hypotheses:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) == 0 4.4710 0.1911 23.40 < 2e-16
## Age == 0 -0.0031 0.0114 -0.27 0.78588
## IPVstatus1 == 0 -0.3839 0.2275 -1.69 0.09160
## SexMen == 0 -0.2869 0.1978 -1.45 0.14693
## PovStatBelow == 0 0.6882 0.2430 2.83 0.00463
## Age:PovStatBelow == 0 0.0663 0.0188 3.52 0.00044
## IPVstatus1:SexMen == 0 1.2236 0.3466 3.53 0.00042
## (Univariate p values reported)
## Age PovStat log TrailsBtestSec Sex CES1 IPVstatus hat
## 1 30 abovePovStat 0 0 0.4603 0.4444 0.3333 4.306
## 2 31 abovePovStat 0 0 0.4603 0.4444 0.3333 4.303
## 3 32 abovePovStat 0 0 0.4603 0.4444 0.3333 4.299
## 4 33 abovePovStat 0 0 0.4603 0.4444 0.3333 4.296
## 5 34 abovePovStat 0 0 0.4603 0.4444 0.3333 4.293
## 6 35 abovePovStat 0 0 0.4603 0.4444 0.3333 4.290