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Get and setting the stability values for factors

Source: R/methods-FactorisedExperiment.R
stability.Rd

Get and setting the stability values for factors

Usage

# S4 method for class 'FactorisedExperiment'
stability(object)

# S4 method for class 'FactorisedExperiment'
stability(object) <- value

Arguments

object

FactorisedExperiment object.

value

New value to replace existing stability vector.

Value

A vector with a value for each factor indicating the factor stability. More details are available from the estimateStability help page.

See also

estimateStability()

Author

Jack Gisby

Examples

# Get a random matrix with rnorm, with 100 rows (features)
# and 20 columns (observations)
X <- ReducedExperiment:::.makeRandomData(100, 20, "feature", "obs")

# Run stabilised ICA on the data with 5 components
fe <- estimateFactors(X, nc = 5, use_stability = TRUE)

stability(fe)
#>  factor_1  factor_2  factor_3  factor_4  factor_5 
#> 0.9157248 0.8528429 0.8362990 0.8269149 0.5597709 

stability(fe)[2] <- 10
stability(fe)
#>   factor_1   factor_2   factor_3   factor_4   factor_5 
#>  0.9157248 10.0000000  0.8362990  0.8269149  0.5597709