test_all: Tests whole imputation-process and measures computing-time...

In MAGDa-BeuthHS/imputeData: Read timeseries from csv-files and impute missing Data

Description

Reads, preprocesses and imputes the data in all csv-files of a directory and writes new files to a subdirectory. Measures computing-time for strategies and writes results to csv-file in target_dir. Only works for data-aggregation-interval of 5 minutes. Lines in the input-csv files have to be in this format: 182,2014-01-01 00:01:00,0,0 (which means: sensor-id, timestamp, occupancy, speed). Filenames of input-csv: sensor-x.csv (where x can be any number).

Usage

test_all(source_dir = "data/test", target_dir = "data/test_results",
  vars = c("b", "g"), choices = get_test_choices(),
  pattern = "sensor-[0-9]*.csv", first_timestamp = "2014-01-01 00:00:00",
  last_timestamp = "2014-12-31 23:59:00")

Arguments

source_dir	the directory of the input-csv-files
target_dir	the directory where the result-csv-files should be written to
vars	vector of the variablenames to be imputed
choices	list of lists of strategies (see get_test_choices())
pattern	pattern of the input-file-names
first_timestamp	first date of the result-data (as character)
last_timestamp	last date of the result-data (as character)

Value

nothing, but writes new csv-files with imputed data to target_dir

MAGDa-BeuthHS/imputeData documentation built on May 8, 2019, 9:28 a.m.