R: Models and Equations for Human Comfort Research

# Models and Equations for Human Comfort Research

## Documentation for package ‘comf’ version 0.1.12

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A B C D E G H I M P R S T U V W misc

comf-package | Calculation and Evaluation of Common and Less Common Comfort Indices

## -- A --

ad | PPD with Ankle Draft
ankledraft | PPD with Ankle Draft
aPMV | Adaptive Predicted Mean Votes
apmv | Adaptive Predicted Mean Votes
AvgAcc | Average Accuracy between Predicted and Actual Thermal Sensation Vote
avgacc | Average Accuracy between Predicted and Actual Thermal Sensation Vote

## -- B --

bias | Bias between Predicted and Actual Thermal Sensation Vote

## -- C --

calc2Node | Comfort Indices based on the 2-Node-Model
calcAD | PPD with Ankle Draft
calcapCoeff | Coefficients for aPMV, ePMV, aPTS, ePTS
calcaPMV | Adaptive Predicted Mean Votes
calcasCoeff | Coefficients for aPMV, ePMV, aPTS, ePTS
calcATHBpmv | PMV based on Adaptive Thermal Heat Balance Framework of multiple Models
calcATHBpmv2015 | PMV based on Adaptive Thermal Heat Balance Framework
calcATHBpts | Predicted Thermal Sensation by Gagge using Adaptive Thermal Heat Balance approach
calcATHBset | SET based on Adaptive Thermal Heat Balance Framework
calcATHBstandard | PMV based on Adaptive Thermal Heat Balance Framework for the Standard Model
calcATHBx | PMV based on Adaptive Thermal Heat Balance Framework for the extended Model
calcAvgAcc | Average Accuracy between Predicted and Actual Thermal Sensation Vote
calcavgacc | Average Accuracy between Predicted and Actual Thermal Sensation Vote
calcBias | Bias between Predicted and Actual Thermal Sensation Vote
calcbias | Bias between Predicted and Actual Thermal Sensation Vote
calcCE | Cooling Effect
calcCOEFF | Coefficients for aPMV, ePMV, aPTS, ePTS
calcComfInd | Thermal Comfort Indices using a List of Climatic Conditions
calcDewp | Various Humidity Related Values
calcDisc | Predicted Discomfort based on the 2-Node-Model
calcdisc | Predicted Discomfort based on the 2-Node-Model
calcdTNZ | dTNZ, the Distance from the Thermoneutral Zone
calcEnth | Various Humidity Related Values
calcepCoeff | Coefficients for aPMV, ePMV, aPTS, ePTS
calcePMV | Adjusted Predicted Mean Votes with Expectancy Factor
calcesCoeff | Coefficients for aPMV, ePMV, aPTS, ePTS
calcET | Effective Temperature based on the 2-Node-Model
calcet | Effective Temperature based on the 2-Node-Model
calcHbExSteady | Human Body Exergy Consumption Rate Using Steady State Method
calcHbExUnsteady | Human Body Exergy Consumption Rate using Unsteady State Method
calcHumidity | Various Humidity Related Values
calcHumx | Various Humidity Related Values
calcIREQ | IREQ and Dlim
calcireq | IREQ and Dlim
calcIso7933 | Heat Strain Indices based on ISO 7933
calcMeanBias | Bias between Predicted and Actual Thermal Sensation Vote
calcMixR | Various Humidity Related Values
calcMRTglobe | MRT calculation based on standard and mixed convection
calcPD | Predicted Percentage Dissatisfied due to Draft based on the 2-Node-Model
calcpd | Predicted Percentage Dissatisfied due to Draft based on the 2-Node-Model
calcPMV | Predicted Mean Votes (PMV)
calcPMVadj | Predicted Mean Votes adjusted for elevated air speed
calcPMVGagge | Gagge's Version of Fanger's PMV based on the 2-Node-Model
calcPMVPPD | PMV and PPD
calcPMVStar | Fanger's PMV using SET* for DRY
calcPPD | Predicted Percentage of Dissatisfied (PPD)
calcPS | Predicted Percentage Satisfied with the Level of Air Movement based on the 2-Node-Model
calcps | Predicted Percentage Satisfied with the Level of Air Movement based on the 2-Node-Model
calcPTS | Predicted Thermal Sensation Vote based on SET
calcpts | Predicted Thermal Sensation Vote based on SET
calcPtsa | Predicted Thermal Sensation based on 2-Node Model adjusted for Adaptation
calcptsa | Predicted Thermal Sensation based on 2-Node Model adjusted for Adaptation
calcPtse | Predicted Thermal Sensation based on 2-Node Model adjusted for Expectancy
calcptse | Predicted Thermal Sensation based on 2-Node Model adjusted for Expectancy
calcRH | Various Humidity Related Values
calcRT | Required recovery time
calcrt | Required recovery time
calcSdBias | Bias between Predicted and Actual Thermal Sensation Vote
calcSeBias | Bias between Predicted and Actual Thermal Sensation Vote
calcSET | Standard Effective Temperature (SET)
calcSkinWettedness | Skin Wettedness based on the 2-Node-Model
calcSolarGain | Solar Gain
calcsolargain | Solar Gain
calcSVP | Various Humidity Related Values
calctAdapt | Adaptive Comfort or Neutral Temperatures
calctadapt | Adaptive Comfort or Neutral Temperatures
calctAdapt15251 | Adaptive Comfort or Neutral Temperatures
calctAdaptASHRAE | Adaptive Comfort or Neutral Temperatures
calctnAuliciems | Adaptive Comfort or Neutral Temperatures
calctnHumphreysAC | Adaptive Comfort or Neutral Temperatures
calctnHumphreysNV | Adaptive Comfort or Neutral Temperatures
calcTNZPDF | Values related to TNZ approach
calcTPRTSV | True Positive Rate between Predicted and Actual Thermal Sensation Vote
calcTroin | Radiative and Operative Temperature
calctroin | Radiative and Operative Temperature
calcTSens | Predicted Thermal Sensation based on the 2-Node-Model
calcTWC | Windchill temperature (TWC)
calctwc | Windchill temperature (TWC)
calcUTCI | Universal Thermal Comfort Index (UTCI)
calcutci | Universal Thermal Comfort Index (UTCI)
calcVapourpressure | Various Humidity Related Values
calcVP | Various Humidity Related Values
calcVTG | PPD with Vertical Air Temperature Gradient
ce | Cooling Effect
clacTNZ | Values related to TNZ approach
comf | Calculation and Evaluation of Common and Less Common Comfort Indices
comfind | Thermal Comfort Indices using a List of Climatic Conditions
coolingeffect | Cooling Effect
createCond | Creating a List with Standard Values
createcond | Creating a List with Standard Values
cutTSV | Categorizing Thermal Sensation Votes

## -- D --

dfASHRAETableG11 | Calibration data for SET
dfField | Field data example
dfISO7730AppE | Calibration data for PMV
dfISO7730TableD1 | Calibration data for PMV and PPD
dfISO7933AppF | Calibration data for Tre, SWtotg, Dlimtre, Dlimloss50, Dlimloss95
dfUTCIValues | Dataset with Different Combinations of Inputs to Calculate UTCI
Disc | Predicted Discomfort based on the 2-Node-Model
disc | Predicted Discomfort based on the 2-Node-Model

## -- E --

ePMV | Adjusted Predicted Mean Votes with Expectancy Factor
epmv | Adjusted Predicted Mean Votes with Expectancy Factor
ET | Effective Temperature based on the 2-Node-Model
et | Effective Temperature based on the 2-Node-Model
exunsteady | Human Body Exergy Consumption Rate using Unsteady State Method

## -- G --

Gagge | Gagge's Version of Fanger's PMV based on the 2-Node-Model

## -- H --

HbEx | Human Body Exergy Consumption Rate Using Steady State Method
HbExSteady | Human Body Exergy Consumption Rate Using Steady State Method
Hbexsteady | Human Body Exergy Consumption Rate Using Steady State Method
hbexunsteady | Human Body Exergy Consumption Rate using Unsteady State Method

## -- I --

IREQ | IREQ and Dlim
ireq | IREQ and Dlim

## -- M --

MeanBias | Bias between Predicted and Actual Thermal Sensation Vote
meanBias | Bias between Predicted and Actual Thermal Sensation Vote
meanbias | Bias between Predicted and Actual Thermal Sensation Vote

## -- P --

PD | Predicted Percentage Dissatisfied due to Draft based on the 2-Node-Model
pd | Predicted Percentage Dissatisfied due to Draft based on the 2-Node-Model
pmv | Predicted Mean Votes (PMV)
PMVadj | Predicted Mean Votes adjusted for elevated air speed
pmvadj | Predicted Mean Votes adjusted for elevated air speed
PMVGagge | Gagge's Version of Fanger's PMV based on the 2-Node-Model
pmvppd | PMV and PPD
PMVStar | Fanger's PMV using SET* for DRY
ppd | Predicted Percentage of Dissatisfied (PPD)
PS | Predicted Percentage Satisfied with the Level of Air Movement based on the 2-Node-Model
ps | Predicted Percentage Satisfied with the Level of Air Movement based on the 2-Node-Model
PTS | Predicted Thermal Sensation Vote based on SET
pts | Predicted Thermal Sensation Vote based on SET
Ptsa | Predicted Thermal Sensation based on 2-Node Model adjusted for Adaptation
ptsa | Predicted Thermal Sensation based on 2-Node Model adjusted for Adaptation
Ptse | Predicted Thermal Sensation based on 2-Node Model adjusted for Expectancy
ptse | Predicted Thermal Sensation based on 2-Node Model adjusted for Expectancy

## -- R --

RT | Required recovery time
rt | Required recovery time

## -- S --

SET | Standard Effective Temperature (SET)
skin | Skin Wettedness based on the 2-Node-Model
skinWettedness | Skin Wettedness based on the 2-Node-Model
SolarGain | Solar Gain
solargain | Solar Gain
star | Fanger's PMV using SET* for DRY

## -- T --

tadapt | Adaptive Comfort or Neutral Temperatures
tAdapt15251 | Adaptive Comfort or Neutral Temperatures
tAdaptASHRAE | Adaptive Comfort or Neutral Temperatures
tnAuliciems | Adaptive Comfort or Neutral Temperatures
tnHumphreysAC | Adaptive Comfort or Neutral Temperatures
tnHumphreysNV | Adaptive Comfort or Neutral Temperatures
TNZPDF | Values related to TNZ approach
tnzpdf | Values related to TNZ approach
TPDF | Values related to TNZ approach
tpdf | Values related to TNZ approach
TPR | True Positive Rate between Predicted and Actual Thermal Sensation Vote
tpr | True Positive Rate between Predicted and Actual Thermal Sensation Vote
Troin | Radiative and Operative Temperature
troin | Radiative and Operative Temperature
TSens | Predicted Thermal Sensation based on the 2-Node-Model
TWC | Windchill temperature (TWC)
twc | Windchill temperature (TWC)

## -- U --

UTCI | Universal Thermal Comfort Index (UTCI)
utci | Universal Thermal Comfort Index (UTCI)

## -- V --

vairtepgrad | PPD with Vertical Air Temperature Gradient
vairtmpgrad | PPD with Vertical Air Temperature Gradient
vtg | PPD with Vertical Air Temperature Gradient

## -- W --

wettedness | Skin Wettedness based on the 2-Node-Model
windchill | Windchill temperature (TWC)

## -- misc --

2Node | Comfort Indices based on the 2-Node-Model
2node | Comfort Indices based on the 2-Node-Model