arf3DS4 (version 2.5-4)

mcpCorrect: Calculate Multiple Comparison Corrections

Description

mcpCorrect calculates three types of multiple comparison corrections: 'uncorrected', 'bonferroni', and 'False Discovery Rate (FDR)'. mcpCorrect assumes the data are t-values.

Usage

mcpCorrect(fmridata, type = c("uncorrected", "bonferroni", "FDR"), 
 alpha = 0.05, q = 0.05, cv = 1, df = 100, sig.steps = 1, adj.n = T)

Arguments

fmridata

An object of class ".fmri.data" (see fmri.data).

type

Type of correction ('uncorrected', 'bonferroni', 'FDR')

alpha

Nominal alpha level.

q

q parameter for FDR.

cv

Cv parameter for FDR.

df

Degrees of freedom of the t-values.

sig.steps

Number of steps to divide p-values in (for visualization).

adj.n

Use only brain voxels when correcting?

Value

• Returns two object of class "fmri.data", one with suprathreshold voxels masked, one with only sigificant voxels used for overlay images.

See Also

fmri.data