pems.utils-package {pems.utils} | R Documentation |
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.
Package: | pems.utils |
Type: | Package |
Version: | 0.2.25.11 |
Date: | 2018-06-02 |
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
: makePEMS
,
import2PEMS
, etc.
1.2. The pems object structure: pems.structure
, pemsElement
, etc.
1.3. Merging pems objects: merge.pems
, align
, etc.
1.4. Exporting data from pems objects and R: export.data
.
2. Routine use
2.1. Generic pems handling
2.1.1. pems objects, pems.generics
.
2.1.2. pems.element objects, pems.element.generics
.
2.2. Unit handler functions: getUnits
, setUnits
, convertUnits
, etc.
2.3. Calculations
2.3.1. Common calculations: common.calculations
, calcDistance
, calcAccel
, etc.
2.3.2. VSP calculations: calcVSP
, etc.
2.3.3. Emissions calculations: calcEm
, etc.
2.4. Plots for pems objects: pems.plots
, latticePlot
, pemsPlot
, etc.
2.5. Analysing data in pems objects: summary.reports
2.6. Conditioning pems objects: conditioning.pems.data
, cutBy
, etc.
3. Refernce datasets, examples, look-up tables, etc.
3.1. Example datasets: pems.1
.
3.2. look-up tables: ref.unit.conversions
, etc.
4. Developers tools
4.1. Common check...
functions for the routine handling of function arguments/user
inputs.
5. Other code
5.1. Tidyverse related code... pems.tidyverse
Karl Ropkins Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>
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/.