calcBias: 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)
calcbias(ref, pred)
calcMeanBias(ref, pred)
MeanBias(ref, pred)
meanBias(ref, pred)
meanbias(ref, pred)
bias(ref, pred)
calcSdBias(ref, pred)
calcSeBias(ref, pred)
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
Arguments
ref
a numeric item or vector containing categorical actual thermal sensation votes coded from -3 'cold' to +3 'hot'
pred
a numeric item or vector containing categorical predicted thermal sensation votes coded from -3 'cold' to +3 'hot'
Author
Marcel Schweiker. Further contribution by Shoaib Sarwar.