what to do when the number of measurements is different how to handle smooth and scalar analysis can a smooth curve be a scalar predictor why are the time of the measurements different in functional analysis why is it bad to use different types of curves why different number of time point in functional data analysis why are data curves uneven during an analysis and why different number of time points for functional data analysis how many time points are needed to analyze a functional function? why is it necessary to use a smoothed curve in functional data analysis how to smooth data using r package how to make a linear smooth curve why do functional data analysis what is the difference between smoothed and rounded curves how to smooth a data set with different time intervals what is the difference between smooth and smooth curves? why would a smoothed curve be used in a logistic regression? what is the best approach to functional data analysis? how to use smooth curves in functional analysis which technique is best for identifying the time of the measurements?