lapply method for MultiAssayExperiment

Apply a function on all experiments in an MAE.

# 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)