time_methods {CellBench} | R Documentation

## Time methods

### Description

time_methods() take either lists of datasets or benchmark_timing_tbl objects and applies a list of functions. The output is a benchmark_timing_tbl where each method has been applied to each dataset or preceeding result. Unlike apply_methods(), time_methods() is always single threaded as to produce fair and more consistent timings.

### Usage

    time_methods(x, fn_list, name = NULL, suppress.messages = TRUE)

    ## S3 method for class 'list'
    time_methods(x, fn_list, name = NULL,
      suppress.messages = TRUE)

    ## S3 method for class 'benchmark_timing_tbl'
    time_methods(x, fn_list, name = NULL,
      suppress.messages = TRUE)

### Arguments

`x` | the list of data or benchmark timing tibble to apply methods to
`fn_list` | the list of methods to be applied
`name` | (optional) the name of the column for methods applied
`suppress.messages` | TRUE if messages from running methods should be suppressed

### Value

benchmark_timing_tbl object containing results from methods applied, the first column is the name of the dataset as factors, middle columns contain method names as factors and the final column is a list of lists containing the results of applying the methods and timings from calling system.time().

### See Also

`apply_methods`

### Examples

    datasets <- list(
        set1 = 1:1e7
    )

    transform <- list(
        sqrt = sqrt,
        log = log
    )

    time_methods(datasets, transform) %>%
        unpack_timing() # extract timings out of list

[Package CellBench version 1.0.1 Index]