Function scoresPACE estimates the functional Principal Component
scores through Conditional Expectation (PACE)
scoresPACE(data, time, covestimate, PC)a matrix of scores with dimension nrow = nharm and ncol = ncol(data)
a matrix object or list -- If the set is supplied as a matrix object, the rows must correspond to argument values and columns to replications, and it will be assumed that there is only one variable per observation. If y is a three-dimensional array, the first dimension corresponds to argument values, the second to replications, and the third to variables within replications. -- If it is a list, each element must be a matrix object, the rows correspond to argument values per individual. First column corresponds to time points and following columns to argument values per variable.
Array with time points where data was taken. length(time) == dim(data)[1]
a list with the two named entries "cov.estimate" and "meanfd"
an object of class "pca.fd"
Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.
Yao, F., Mueller, H.G., Wang, J.L. (2005), Functional data analysis for sparse longitudinal data, J. American Statistical Association, 100, 577-590.