| Threshold.FDR {MixfMRI} | R Documentation |
False Discovery Rate (FDR) Threshold
Description
Calculates the False Discovery Rate (FDR) threshold for a given vector of statistic values.
Usage
Threshold.FDR(x, q, cV.type = 2, type = c("Normal", "t", "F"), df1 = NULL, df2 = NULL)
Arguments
x |
A vector of test statistic values. |
q |
The desired False Discovery Rate threshold. |
cV.type |
A flag that specifies the assumptions about the joint distribution of p-values. Choose cV.type = 2 for fMRI data (see Genovese et al (2001) |
type |
The distribution of the statistic values. Either "Normal", "t" or "F". |
df1 |
The degrees of freedom of the t-distribution or the first degrees of freedom parameter for the F distribution. |
df2 |
The second degrees of freedom parameter for the F distribution. |
Details
Note: This function is directly copied from "AnalyzeFMRI".
Value
Returns the FDR threshold.
Author(s)
J. L. Marchini
References
Genovese et al. (2001) Thresholding of Statistical Maps in Functional NeuroImaging Using the False Discovery Rate.
Examples
x <- c(rnorm(1000), rnorm(100, mean = 3))
Threshold.FDR(x = x, q = 0.20, cV.type = 2)