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Hypothesis test for a Spearman correlation

Source: R/statpsych2.R
test.spear.Rd

Computes a t test for a test of the null hypothesis that a population Spearman correlation is equal to 0, or a z test using a Fisher transformation for a test of the null hypothesis that a Spearman correlation is equal to some specified nonzero value. The hypothesis testing results should be accompanied with a confidence interval for the population Spearman correlation value (see ci.spear).

Usage

test.spear(cor, h, n)

Arguments

cor

estimated correlation

h

null hypothesis value of correlation

n

sample size

Value

Returns a 1-row matrix. The columns are:

  • Estimate - estimate of correlation

  • t or z - t test statistic (for h = 0) or z test statistic (for nonzero h)

  • p - two-sided p-value

Examples

test.spear(.471, .2, 100)
#>  Estimate        z          p
#>     0.471 3.009628 0.00261568

# Should return:
# Estimate        z           p
#     0.471 3.009628 0.00261568


test.spear(.342, 0, 100)
#>  Estimate        t df            p
#>     0.342 3.602881 98 0.0004965008

# Should return:
#  Estimate        t df            p
#     0.342 3.602881 98 0.0004965008