Package: comf 0.1.12

comf: Models and Equations for Human Comfort Research

Calculation of various common and less common comfort indices such as predicted mean vote or the two node model. Converts physical variables such as relative to absolute humidity and evaluates the performance of comfort indices.

Authors:Marcel Schweiker [aut, cre], Sophia Mueller [aut], Michael Kleber [ctr], Boris Kingma [ctr], Masanori Shukuya [ctr], Shaomi Rahman [ctr], Shoaib Sarwar [ctr]

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comf/json (API)
NEWS

# Install 'comf' in R:
install.packages('comf', repos = c('https://marcelschweiker.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/marcelschweiker/comf/issues

Datasets:

On CRAN:

Conda:

4.78 score 3 stars 40 scripts 433 downloads 2 mentions 120 exports 4 dependencies

Last updated 3 months agofrom:ea3a609e79. Checks:1 ERROR, 8 WARNING. Indexed: yes.

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Exports:avgaccAvgAccbiasbisectcalc2NodecalcADcalcapCoeffcalcaPMVcalcasCoeffcalcATHBpmvcalcATHBpmv2015calcATHBptscalcATHBsetcalcATHBstandardcalcATHBxcalcavgacccalcAvgAcccalcbiascalcBiascalcBuildingTypecalcBuildingTypeSimplecalcCEcalcComfIndcalcCoolingStrategyBuildingcalcDewpcalcDisccalcdTNZcalcEnthcalcepCoeffcalcePMVcalcesCoeffcalcetcalcETcalcHbExSteadycalcHbExUnsteadycalcHumxcalcIREQcalcIso7933calcMeanBiascalcMixRcalcMRTglobecalcPDcalcPMVcalcPMVadjcalcPMVGaggecalcPMVPPDcalcPMVStarcalcPPDcalcPScalcPTScalcPtsacalcPtsecalcRHcalcRTcalcSdBiascalcSeasoncalcSeBiascalcSETcalcSkinWettednesscalcSolarGaincalcSVPcalctAdapt15251calctAdaptASHRAEcalctnAuliciemscalctnHumphreysACcalctnHumphreysNVcalcTNZPDFcalcTPRTSVcalctroincalcTroincalcTSenscalcTWCcalcUTCIcalcVapourpressurecalcVPcalcVTGcheckRangecomfindcreatecondcreateCondcutTSVepmvePMVesfindSpanhcvFhcvGhcvMlistOfRequestsmeanbiasmeanBiasMeanBiasmetaThermmrsw1mrsw2mshivpckgCheckpVaporQLoadQperReqQskin_evapsolarGaintroinTrointskRequtciApproxvalidateAllFunctionsvalidatePMVPPDvalidateSETvalidateSolarGainvalidateSolarGainRangevalidateUTCIvblvblCdilStrwcExwcXCheckwdExwdExLwwdXCheckwindchill

Dependencies:jsonliteplyrRcppreshape

Readme and manuals

Help Manual

Help pageTopics
Calculation and Evaluation of Common and Less Common Comfort Indicescomf-package comf
Comfort Indices based on the 2-Node-Model2Node 2node calc2Node
PPD with Ankle Draftad ankledraft calcAD
Adaptive Predicted Mean VotesaPMV apmv calcaPMV
PMV based on Adaptive Thermal Heat Balance Framework of multiple ModelscalcATHBpmv
PMV based on Adaptive Thermal Heat Balance FrameworkcalcATHBpmv2015
Predicted Thermal Sensation by Gagge using Adaptive Thermal Heat Balance approachcalcATHBpts
SET based on Adaptive Thermal Heat Balance FrameworkcalcATHBset
PMV based on Adaptive Thermal Heat Balance Framework for the Standard ModelcalcATHBstandard
PMV based on Adaptive Thermal Heat Balance Framework for the extended ModelcalcATHBx
Average Accuracy between Predicted and Actual Thermal Sensation VoteAvgAcc avgacc calcAvgAcc calcavgacc
Bias between Predicted and Actual Thermal Sensation Votebias calcBias calcbias calcMeanBias calcSdBias calcSeBias MeanBias meanBias meanbias
Cooling EffectcalcCE ce coolingeffect
Thermal Comfort Indices using a List of Climatic ConditionscalcComfInd comfind
Predicted Discomfort based on the 2-Node-ModelcalcDisc calcdisc Disc disc
dTNZ, the Distance from the Thermoneutral ZonecalcdTNZ
Coefficients for aPMV, ePMV, aPTS, ePTScalcapCoeff calcasCoeff calcCOEFF calcepCoeff calcesCoeff
Adjusted Predicted Mean Votes with Expectancy FactorcalcePMV ePMV epmv
Effective Temperature based on the 2-Node-ModelcalcET calcet ET et
Human Body Exergy Consumption Rate Using Steady State MethodcalcHbExSteady HbEx HbExSteady Hbexsteady
Human Body Exergy Consumption Rate using Unsteady State MethodcalcHbExUnsteady exunsteady hbexunsteady
IREQ and DlimcalcIREQ calcireq IREQ ireq
Heat Strain Indices based on ISO 7933calcIso7933
Various Humidity Related ValuescalcDewp calcEnth calcHumidity calcHumx calcMixR calcRH calcSVP calcVapourpressure calcVP
MRT calculation based on standard and mixed convectioncalcMRTglobe
Predicted Percentage Dissatisfied due to Draft based on the 2-Node-ModelcalcPD calcpd PD pd
Predicted Mean Votes (PMV)calcPMV pmv
Predicted Mean Votes adjusted for elevated air speedcalcPMVadj PMVadj pmvadj
Gagge's Version of Fanger's PMV based on the 2-Node-ModelcalcPMVGagge Gagge PMVGagge
PMV and PPDcalcPMVPPD pmvppd
Fanger's PMV using SET* for DRYcalcPMVStar PMVStar star
Predicted Percentage of Dissatisfied (PPD)calcPPD ppd
Predicted Percentage Satisfied with the Level of Air Movement based on the 2-Node-ModelcalcPS calcps PS ps
Predicted Thermal Sensation Vote based on SETcalcPTS calcpts PTS pts
Predicted Thermal Sensation based on 2-Node Model adjusted for AdaptationcalcPtsa calcptsa Ptsa ptsa
Predicted Thermal Sensation based on 2-Node Model adjusted for ExpectancycalcPtse calcptse Ptse ptse
Required recovery timecalcRT calcrt RT rt
Standard Effective Temperature (SET)calcSET SET
Skin Wettedness based on the 2-Node-ModelcalcSkinWettedness skin skinWettedness wettedness
Solar GaincalcSolarGain calcsolargain SolarGain solargain
Adaptive Comfort or Neutral TemperaturescalctAdapt calctadapt calctAdapt15251 calctAdaptASHRAE calctnAuliciems calctnHumphreysAC calctnHumphreysNV tadapt tAdapt15251 tAdaptASHRAE tnAuliciems tnHumphreysAC tnHumphreysNV
Values related to TNZ approachcalcTNZPDF clacTNZ TNZPDF tnzpdf TPDF tpdf
True Positive Rate between Predicted and Actual Thermal Sensation VotecalcTPRTSV TPR tpr
Radiative and Operative TemperaturecalcTroin calctroin Troin troin
Predicted Thermal Sensation based on the 2-Node-ModelcalcTSens TSens
Windchill temperature (TWC)calcTWC calctwc TWC twc windchill
Universal Thermal Comfort Index (UTCI)calcUTCI calcutci UTCI utci
PPD with Vertical Air Temperature GradientcalcVTG vairtepgrad vairtmpgrad vtg
Creating a List with Standard ValuescreateCond createcond
Categorizing Thermal Sensation VotescutTSV
Calibration data for SETdfASHRAETableG11
Field data exampledfField
Calibration data for PMVdfISO7730AppE
Calibration data for PMV and PPDdfISO7730TableD1
Calibration data for Tre, SWtotg, Dlimtre, Dlimloss50, Dlimloss95dfISO7933AppF
Dataset with Different Combinations of Inputs to Calculate UTCIdfUTCIValues