1. Figure 1: rmcorr and reg plot

2. Figure 2: rmcorr vs OLS reg

3. Figure 3: rmcorr w/data transformations

4. Figure 4: Power curves

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##   3
## png 
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5. Brain volume and age rmcorr and simple reg/cor results and Figure 5

a) rmcorr and simple reg results

## Warning in rmcorr(participant = Participant, measure1 = Age, measure2 =
## Volume, : Participant coerced into a factor
## 
## Repeated measures correlation
## 
## r
## -0.7044077
## 
## degrees of freedom
## 71
## 
## p-value
## 3.561007e-12
## 
## 95% confidence interval
## -0.8053581 -0.5637514
## 
##  Pearson's product-moment correlation
## 
## data:  avgRaz2005$Age and avgRaz2005$Volume
## t = -3.4912, df = 70, p-value = 0.000837
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.5662456 -0.1684542
## sample estimates:
##        cor 
## -0.3850943
## 
## Call:
## lm(formula = Volume ~ Age, data = raz2005)
## 
## Coefficients:
## (Intercept)          Age  
##    151.9068      -0.3399
## 
##  Pearson's product-moment correlation
## 
## data:  raz2005$Age and raz2005$Volume
## t = -5.165, df = 142, p-value = 7.984e-07
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.5269809 -0.2503991
## sample estimates:
##        cor 
## -0.3976861

b) Figure 5: Brain vol + age, rmcorr and simple reg/cor

## pdf 
##   3
## png 
##   2

6. Visual search rmcorr and simple reg/cor results and Figure 6

a) rmcorr and simple reg results

## Warning in rmcorr(participant = sub, measure1 = rt, measure2 = acc, dataset
## = gilden2010): Participant coerced into a factor
## 
## Repeated measures correlation
## 
## r
## -0.406097
## 
## degrees of freedom
## 32
## 
## p-value
## 0.01716871
## 
## 95% confidence interval
## -0.6611673 -0.06687244
## 
## Call:
## lm(formula = acc ~ rt, data = gildenMeans)
## 
## Coefficients:
## (Intercept)           rt  
##      0.8132       0.1777
## 
##  Pearson's product-moment correlation
## 
## data:  gildenMeans$rt and gildenMeans$acc
## t = 2.1966, df = 9, p-value = 0.05565
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.01409542  0.87910346
## sample estimates:
##       cor 
## 0.5907749
## 
## Call:
## lm(formula = acc ~ rt, data = gilden2010)
## 
## Coefficients:
## (Intercept)           rt  
##      0.8612       0.1111
## 
##  Pearson's product-moment correlation
## 
## data:  gilden2010$rt and gilden2010$acc
## t = 2.6401, df = 42, p-value = 0.01158
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.09053513 0.60625185
## sample estimates:
##       cor 
## 0.3772751

b) Figure 6: Visual search rmcorr and simple reg/cor

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##   3
## png 
##   2

Appendix A: Rmcorr minus standard corr power

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