benchmark: Benchmark processing time for typical analytics tasks

In tim-dim/rlytics: Collection of usful functions and colour palettes

Description

Benchmark processing time for typical analytics tasks

Usage

benchmark(rows = 1e+05, csv = FALSE, size = "rows", bytes = (3 *
  1024)^2, rep_times = 10)

Arguments

rows	Number of rows of the testing dataset if 'size = "rows"'.
csv	If 'TRUE', the csv-functions 'read.csv2' and 'write.csv' are included in the benchmarking.
size	How you want to specify the size of your testing dataset. Either "rows" or "bytes". "rows" by default.
bytes	Size of the dataset if 'size = "bytes"'. E.g. (3*1024)^2 for 3 MB or 1024^4 for one GB.
rep_times	Number of time each benchmarked function is repeated for the benchmarking.

Examples

benchmark(csv = T) # include benchmarking of read.csv and write.csv2

# specify the size of the dataset you want to test your system with:
benchmark(size = "bytes", bytes = (5*1024)^2) # in bytes
benchmark(rows = 100000) # in rows

benchmark(rep_times = 20) # specify how many times you want to repeat
# benchmarking one function

tim-dim/rlytics documentation built on May 4, 2019, 4:22 p.m.