spm_P: SPM: Returns the [un]corrected P value using unifed EC theory
In jpellman/spmR: Statistical Parametric Mapping in R

Description Usage Arguments Value See Also

spm_P determines corrected and uncorrected p values, using the minimum of different valid methods.

See the individual methods for details

1	FORMAT [P p Ec Ek] = spm_P(c,k,Z,df,STAT,R,n,S)

`c`	- cluster number
`k`	- extent RESELS
`Z`	- height minimum over n values
`df`	- [dfinterest dferror]
`STAT`	- Statistical field: 'Z' - Gaussian field, 'T' - T - field, 'X' - Chi squared field, 'F' - F - field, 'P' - Posterior probability
`R`	- RESEL Count defining search volume
`n`	- number of component SPMs in conjunction
`S`	- Voxel count

A list containing: P - corrected P value - P(C >= c | K >= k), p - uncorrected P value, Ec - expected total number of clusters and Ek - expected total number of resels per cluster

spm_P_RF

spm_P_Bonf

jpellman/spmR documentation built on May 19, 2019, 10:44 p.m.