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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 Spearman correlation

h

null hypothesis value of correlation

n

sample size

Value

Returns a 1-row matrix. The columns are:

  • Estimate - estimated Spearman correlation (from input)

  • 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 3.0096 0

# Should return:
# Estimate       z       p
#     0.471 3.0096 0.00262


test.spear(.341, 0, 100)
#>  Estimate     t df       p
#>     0.341 3.591 98 0.00052

# Should return:
#  Estimate     t df       p
#     0.341 3.591 98 0.00052