| 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: | 0.2.29.1 |
| 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 <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/.