Coefficient Plots for Tests with Age as a Fixed Effect (and Two-Way Interactions with Age)

## Loading required package: Matrix
## Loading required package: lme4
## KernSmooth 2.23 loaded
## Copyright M. P. Wand 1997-2009
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## Attaching package: 'lmerTest'
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## The following object is masked from 'package:lme4':
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##     lmer
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## The following object is masked from 'package:stats':
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##     step
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## Loading required package: ggplot2
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## Attaching package: 'ggplot2'
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## The following object is masked from 'package:lme4':
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##     fortify

Trails A Coefficient Plot

mm1 = lmer(TrailsAtestSec ~ Age + IPVstatus + Sex + Race + (1 | HNDid) + Age:Race + 
    IPVstatus:Sex, data = IPVandCognitionDataSet2)
coefplot(mm1)

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Trails A Interaction Plot for Race and Age

interaction.plot(IPVandCognitionDataSet2$Age, IPVandCognitionDataSet2$Race, 
    IPVandCognitionDataSet2$TrailsAtestSec)

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Trails A (with CES) Coefficient Plot

mm1 = lmer(TrailsAtestSec ~ Age + Race + (Age | HNDid) + Age:Race, data = IPVandCognitionDataSet2)

## Warning: number of observations <= rank(Z); variance-covariance matrix
## will be unidentifiable


library(coefplot)

coefplot(mm1)

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Trails A (with CES) Interaction Plot for Race and Age

interaction.plot(IPVandCognitionDataSet2$Age, IPVandCognitionDataSet2$Race, 
    IPVandCognitionDataSet2$TrailsAtestSec)

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Word Fluency (with CES) Coefficient Plot

mm1 = lmer(FluencyWord ~ Age + IPVstatus + Sex + Race + CES1 + (1 | subclass) + 
    (1 | HNDid) + Age:Sex + Age:Race + Age:CES1 + IPVstatus:Race + IPVstatus:CES1 + 
    Sex:Race + Sex:CES1 + Race:CES1 + Age:Sex:Race + Age:Sex:CES1 + Age:Race:CES1 + 
    IPVstatus:Race:CES1 + Sex:Race:CES1 + Age:Sex:Race:CES1, data = IPVandCognitionDataSet2)
library(coefplot)
coefplot(mm1)

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