TRSbook (version 1.0.2)

twosample.cor.test: Comparing statistically two correlation coefficients

Description

Test of the equality of two correlation coefficients

Usage

twosample.cor.test(x1, y1, x2, y2, alpha = 0.05,alternative =
c("two.sided", "less", "greater"))

Arguments

x1

x1 is a numeric vector associated to y1

y1

y1 is a numeric vector associated to x1

x2

x2 is a numeric vector associated to y2

y2

y2 is a numeric vector associated to x2

alpha

significance level of the test

alternative

Alternative hypothesis for the test. Either two sided ("two.sided"), one sided to the left ("less") or one sided to the right ("greater"). Default is "two.sided".

Value

Returns a list:

statistic

Value of the test statistic

p.value

p-value of the test

References

Chapter 13 (Confidence Intervals and Hypothesis Testing) from the book: The R Software, Fundamentals of Programming and Statistical Analysis

See Also

cor0.test

Examples

# NOT RUN {
data(BMI.CHILD)
attach(BMI.CHILD)
indf <- which(GENDER=="F")  # To  retrieve indices of the females.
indm <- which(GENDER=="M")  # To retrieve indices of the males.
twosample.cor.test(height[indf],weight[indf],
                   height[indm],weight[indm])
detach(BMI.CHILD)
# }