time_methods {CellBench} | R Documentation |
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.
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)
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 |
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().
datasets <- list( set1 = 1:1e7 ) transform <- list( sqrt = sqrt, log = log ) time_methods(datasets, transform) %>% unpack_timing() # extract timings out of list