lapply method for MultiAssayExperiment — lapply,MultiAssayExperiment-method • hermes

Apply a function on all experiments in an MAE.

Usage

# S4 method for MultiAssayExperiment
lapply(X, FUN, safe = TRUE, ...)

Arguments

X: (MultiAssayExperiment)
input.
FUN: (function) to be applied to each experiment in X.
safe: (flag)
whether this method should skip experiments where the function fails.
...: additional arguments passed to FUN.

Value

MultiAssayExperiment object with specified function applied.

Examples

object <- multi_assay_experiment
result <- lapply(object, normalize, safe = TRUE)
#> -- note: fitType='parametric', but the dispersion trend was not well captured by the
#>    function: y = a/x + b, and a local regression fit was automatically substituted.
#>    specify fitType='local' or 'mean' to avoid this message next time.
#> -- note: fitType='parametric', but the dispersion trend was not well captured by the
#>    function: y = a/x + b, and a local regression fit was automatically substituted.
#>    specify fitType='local' or 'mean' to avoid this message next time.
#> -- note: fitType='parametric', but the dispersion trend was not well captured by the
#>    function: y = a/x + b, and a local regression fit was automatically substituted.
#>    specify fitType='local' or 'mean' to avoid this message next time.
# Similarly, all experiments in an MAE can be converted to HermesData class:
result <- lapply(object, HermesData, safe = TRUE)