pipe: Data cleaning

In lagodoy/GPStools: GPS processing tools

Data cleaning

Description

clean_raw_data test lorem impo.

Like dplyr, ggvis also uses the pipe function, %>% to turn function composition into a series of imperative statements.

Usage

clean_raw_data(input_file, output_file, tmp_dir, timezone = "Etc/UTC",
  speed_limit = 110, acceleration_limit = 10, date_min = NA,
  date_max = NA, cores = 7)

Arguments

input_file	file with the gps data to be cleaned
output_file	file to write the output of the processing
tmp_dir	where to place uncompressed input file
timezone	represents the timezone
speed_limit	numeric which contains the speed threshold (km/h)
acceleration_limit	numeric which contains the acceleration threshold(m/s^2)
date_min	Select data after this date (format:YYYY-MM-AA)
date_max	Select data before this date (format:YYYY-MM-AA)
cores	number of cores to be used
lhs, rhs	A visualisation and a function to apply to it

Value

data

Examples

## Not run: 
#do not run

## End(Not run)
# Instead of
layer_points(ggvis(mtcars, ~mpg, ~wt))
# you can write
mtcars %>% ggvis(~mpg, ~wt) %>% layer_points()

lagodoy/GPStools documentation built on Nov. 1, 2024, 9:54 p.m.