calcBias: Calculating the Bias between Predicted and Actual Thermal Sensation Vote
Description
calcMeanBias calculates the mean bias and its standard deviation and standard error between predicted thermal sensation votes and actual obtained sensation votes
Usage
calcBias(ref, pred)
Arguments
ref
a numeric item or vector containing categorical or continuous actual thermal sensation votes coded from -3 'cold' to +3 'hot'
pred
a numeric item or vector containing categorical or continuous predicted thermal sensation votes coded from -3 'cold' to +3 'hot'
Value
calcMeanBias returns a dataframe with the following items:
meanBias
single value presenting the mean bias between actual and predicted thermal sensation votes
sdBias
single value presenting the standard deviation of the mean bias
seBias
single value presenting the standard error of the mean bias
References
Humphreys, M. A. and Nicol, J. F. The validity of ISO-PMV for predicting comfort votes in every-day thermal environments, Energy and Buildings, 2002, 34, 667-684
Schweiker, M. and Wagner, A. Exploring potentials and limitations of the adaptive thermal heat balance framework Proceedings of 9th Windsor Conference: Making Comfort Relevant Cumberland Lodge, Windsor, UK, 2016