This function displays the simple correlation of two vectors of equal length, as well as providing confidence limits and hypothesis tests.
1  corXY(X, Y, alpha=0.05, rho0 = 0, HA="not.equal", digits=3)

X 
A Vector of the same length as Y 
Y 
A Vector of the same length as X, This function requires the input of Vectors 
alpha 
The Type I error rate for Hypothesis Tests and Confidence Intervals 
rho0 
The Null Hypothesis for Hypothesis Tests 
HA 
The alternative hypothesis can be one of "less.than", "greater.than", or "not.equal" 
digits 
The number of digits to round results 
This function provides the required information, such as the Pearson correlation Hypothesis Tests and confidence intervals, while providing suitable detail in the and print statements for epidemiologists to understand the information at hand.
rho 
The Sample Pearson Correlation, as calculated in the cor function. 
n 
The sample size. 
Test 
The Test Statistic for the desired hypothesis test based on Fisher's Transformation. 
p.Value 
The pvalue for the Hypothesis Test. 
CIL 
The lower bound of the constructed confidence interval for rho, again based on Fisher's Z Transformation. 
CIU 
The Upper bound of the constructed confidence interval for rho, again based on Fisher's Z Transformation. 
alpha 
The desired Type I Error Rate 
rho0 
The Null Hypothesis 
HA 
The supplied Alternative Hypothesis 
Michael Rotondi, mrotondi@uwo.ca
Casella G and Berger RL. Statistical Inference (2nd Ed.) Duxbury: New York, 2002. Koepsell TD and Weiss NS. Epidemiologic Methods. Oxford University Press: New York, 2003.
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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