pems.utils-package: pems.utils

In pems.utils: Portable Emissions (and Other Mobile) Measurement System Utilities

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:	0.2.29.1
Date:	2021-04-20
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.

3. Generic pems handling

3.1. pems objects, pems.generics.

3.2. pems.element objects, pems.element.generics.

4. Structure Handling

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

4.2. Referencing pems objects: referencing.pems.data, refRow, etc.

4.3. Time handling functions: regularize, etc.

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

5. pems Data Handling

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

6. Calculations

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

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

6.3. Other correction code

6.4. Analysing data in pems objects: summary.reports

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

7.1. Example datasets: pems.1.

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

8. Specialist code

8.1. VSP calculations: calcVSP, etc.

8.2. Emissions calculations: calcEm, etc.

9. Other Code

9.1. Tidyverse related code... pems.tidyverse

Author(s)

Karl Ropkins Maintainer: Karl Ropkins <[e-mail]>

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

pems.utils documentation built on April 25, 2021, 9:07 a.m.