metap (version 1.4)

logitp: Combine p values using logit method

Description

Combine p values using logit method

Usage

logitp(p)
# S3 method for logitp
print(x, ...)

Arguments

p

A vector of significance values

x

An object of class ‘logitp’

...

Other arguments to be passed through

Value

An object of class ‘logitp’ and ‘metap’, a list with entries

t

Value of Student's t

df

Associated degrees of freedom

p

Associated p-value

validp

The input vector with illegal values removed

Details

Defined as t = - _i=1^k p_i1 - p_iC t = - sum log(p / (1 - p)) / C where C = k ^2 (5 k + 2)3(5 k + 4)C = sqrt((k pi^2 (5 k + 2)) / (3(5 k + 4))) and k is the number of studies.

The values of p_i should be such that 0 < p_i < 1 and a warning is given if that is not true. A warning is given if, possibly as a result of removing illegal values, fewer than two values remain and the return values are set to NA.

The plot method for class ‘metap’ calls plotp on the valid \(p\)-values.

References

becker94metap

See Also

See also plotp

Examples

# NOT RUN {
data(teachexpect)
logitp(teachexpect) # t = 2.763, df = 99, p = 0.0034, from Becker
data(beckerp)
logitp(beckerp) # t = 1.62, df = 29, NS, from Becker
data(validity)
logitp(validity) # t = 9.521, df = 104, p = 3.89 * 10^{-16}
# }