Package 'Hmisc' - R

48 curveRep
Value
a list of class "curveRep" with the following elements
res
ns
nomit
missfreq
ncuts
kn
kxdist
k
p
x
y
id
a hierarchical list first split by sample size intervals, then by x distribution clusters,
then containing a vector of cluster numbers with id values as a names
attribute
a table of frequencies of sample sizes per curve after removing NAs
total number of records excluded due to NAs
a table of frequencies of number of NAs excluded per curve
cut points for sample size intervals
number of sample size intervals
number of clusters on x distribution
number of clusters of curves within sample size and distribution groups
number of points at which to evaluate each curve for clustering
input data after removing NAs
Note
curveSmooth returns a list with elements x,y,id.
The references describe other methods for deriving representative curves, but those methods were
not used here. The last reference which used a cluster analysis on principal components motivated
curveRep however.
Author(s)
Frank Harrell
Department of Biostatistics
Vanderbilt University
〈f.harrell@vanderbilt.edu〉
References
Segal M. (1994): Representative curves for longitudinal data via regression trees. J Comp Graph
Stat 3:214-233.
Jones MC, Rice JA (1992): Displaying the important features of large collections of similar curves.
Am Statistician 46:140-145.
Zheng X, Simpson JA, et al (2005): Data from a study of effectiveness suggested potential prognostic
factors related to the patterns of shoulder pain. J Clin Epi 58:823-830.
See Also
clara,dataRep