estimate.meff: Estimates the effective number of tests
In alesssia/timesaveR: Widely used function to save time on everyday work
View source: R/estimate_meff.R
estimate.meff R Documentation
Estimates the effective number of tests
Description
Estimates the effective number of tests in correlated datasets using two different
approaches (Li's is to be preferred)
Cheverud JM (2001). A simple correction for multiple comparisons in interval mapping
genome scans. Heredity 87
Usage
estimate.meff(data, method = c("Cheverud", "Li"))
Arguments
data
data matrix
method
which methods should be used
Value
effective number of tests
Author(s)
Jonas Zierer
Examples
data <- matrix(data = rnorm(200), nrow = 10, ncol = 20)
estimate.meff(data, "Li")
alesssia/timesaveR documentation built on Jan. 26, 2024, 5:21 p.m.
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View source: R/estimate_meff.R
| estimate.meff | R Documentation |
Estimates the effective number of tests
Description
Estimates the effective number of tests in correlated datasets using two different approaches (Li's is to be preferred) Cheverud JM (2001). A simple correction for multiple comparisons in interval mapping genome scans. Heredity 87
Usage
estimate.meff(data, method = c("Cheverud", "Li"))
Arguments
data |
data matrix |
method |
which methods should be used |
Value
effective number of tests
Author(s)
Jonas Zierer
Examples
data <- matrix(data = rnorm(200), nrow = 10, ncol = 20)
estimate.meff(data, "Li")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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