pems.utils-package {pems.utils}R Documentation

pems.utils

Description

The R package pems.utils contains a range of functions for the routine handling and analysis of data collected by portable emissions measurement systems (PEMS) and other similar mobile monitoring systems.

Details

Package: pems.utils
Type: Package
Version: 0.2.27.4
Date: 2019-04-28
License: GPL (>= 2)
LazyLoad: yes

The pems.utils functions have been arranged according to usage, as follows:

1. Getting data in and out of pems.utils.

1.1. Functions for making and importing datasets for use with pems.utils: pems, import2PEMS, etc.

1.2. Exporting data from pems objects and R: export.data.

2. Data Structure and General Handling

2.1. The pems object structure: pems.structure, getPEMSElement, pemsData, etc.

2.2. Generic pems handling

2.2.1. pems objects, pems.generics.

2.2.2. pems.element objects, pems.element.generics.

2.3. Structure Handling

2.3.1. Merging pems objects: merge.pems, align, etc.

2.3.2. Conditioning pems objects: conditioning.pems.data, cutBy, etc.

2.3.3. Time handling functions: regularize, etc.

2.3.4. Unit handler functions: getUnits, setUnits, convertUnits, etc.

3. pems Data Handling

3.1. Calculations

3.1.1. Common calculations: common.calculations, calcDistance, calcAccel, etc.

3.1.2. VSP calculations: calcVSP, etc.

3.1.3. Emissions calculations: calcEm, etc.

3.2. Analysing data in pems objects: summary.reports

3.3. Plots for pems objects: pems.plots, latticePlot, pemsPlot, etc.

4. Refernce datasets, examples, look-up tables, etc.

4.1. Example datasets: pems.1.

4.2. look-up tables: ref.unit.conversions, etc.

5. Other Code

5.1. Misc

5.1.1. Common check... functions for the routine handling of function arguments/user inputs.

5.1.2. Other correction code

5.2. Tidyverse related code... pems.tidyverse

Author(s)

Karl Ropkins Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>

References

Functions in pems.utils make extensive use of code developed by others. In particular, I gratefully acknowledge the huge contributions of the R Core Team and numerous contributors in developing and maintaining R:

R Development Core Team (2011). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.

See Also

pems, import2PEMS


[Package pems.utils version 0.2.27.4 Index]