dyn.scale {longitudinal} | R Documentation |
time2weights
computes weights corresponding to time points
dyn.weights
computes these weights for a given longitudinal
matrix.
dyn.moments
computes means and variances for the variables in
a longitudinal
object.
dyn.scale
centers and standardizes a longitudinal
matrix.
time2weights(t) dyn.weights(x) dyn.moments(x) dyn.scale(x, center=TRUE, scale=TRUE)
t |
a vector with time points |
x |
a longitudinal object, or a matrix |
center |
logical value |
scale |
logical value |
The dynamical weights are computed assuming a linear spline - see Opgen-Rhein and Strimmer (2006a,b). The dynamical mean and variance etc. are then simply weighted versions of the usual empirical estimators.
A vector with weights (time2weights
and dyn.weights
),
a list containing the column means and variances (dyn.moments
),
or a rescaled longitudinal matrix (dyn.scale
).
Rainer Opgen-Rhein and Korbinian Strimmer (http://strimmerlab.org).
Opgen-Rhein, R., and K. Strimmer. 2006a. Inferring gene dependency networks from genomic longitudinal data: a functional data approach. REVSTAT 4:53-65. (http://http://www.ine.pt/revstat/)
Opgen-Rhein, R., and K. Strimmer. 2006b. Using regularized dynamic correlation to infer gene dependency networks from time-series microarray data. The 4th International Workshop on Computational Systems Biology, WCSB 2006 (June 12-13, 2006, Tampere, Finland). (http://www.cs.tut.fi/wcsb06/)
# load "longitudinal" library library("longitudinal") # weights of for the data points in tcell data data(tcell) dyn.weights(tcell.34) # dynamical moments dyn.moments(tcell.34)