orderColnames
Reorder Column Names of a Time Series
Functions and methods dealing with the rearrangement of column names of 'timeSeries' objects.
orderColnames 
Returns ordered column names of a time Series, 
sortColnames 
Returns sorted column names of a time Series, 
sampleColnames 
Returns sampled column names of a time Series, 
statsColnames 
Returns statistically rearranged column names, 
pcaColnames 
Returns PCA correlation ordered column names, 
 Keywords
 chron
Usage
orderColnames(x, ...)
sortColnames(x, ...)
sampleColnames(x, ...)
statsColnames(x, FUN = colMeans, ...)
pcaColnames(x, robust = FALSE, ...)
hclustColnames(x, method = c("euclidean", "complete"), ...)
Arguments
 FUN
 a character string indicating which statistical function should be applied. By default statistical ordering operates on the column means of the time series.
 method

a character string with two elements. The first determines
the choice of the distance measure, see
dist
, and the second determines the choice of the agglomeration method, seehclust
.  robust
 a logical flag which indicates if robust correlations should be used.
 x

an object of class
timesSeries
or any other rectangular object which can be transformed by the functionas.matrix
into a numeric matrix.  ...
 further arguments to be passed, see details.
Details
Statistically Motivated Rearrangement
The function statsColnames
rearranges the column names
according to a statical measure. These measure must operate on the
columns of the time series and return a vector of values which
can be sorted. Typical functions ar those listed in in help
page colStats
but one can also crete his own
functions which compute for example risk or any other statistical
measure. The ...
argument allows to pass additional
arguments to the underlying function FUN
.
PCA Ordering of the Correlation Matrix
The function pcaColnames
rearranges the column names
according to the PCA ordered correlation matrix. The argument
robust
allsows to select between the use of the standard
cor
and computation of robust correlations using
the function covMcd
from contributed R package
robustbase
. The ...
argument allows to pass
additional arguments to the two underlying functions cor
or covMcd
. E.g. adding method="kendall"
to the argument list calculates Kendall's rank correlations
instead the default which calculates Person's correlations.
Ordering by Hierarchical Clustering
The function pcaColnames
uses the hierarchical clustering
approach hclust
to rearrange the column names of the
time series.
Value
 returns a vector of character string, the rearranged column names.
Examples
library(timeSeries)
## Load Swiss Pension Fund Benchmark Data 
data < LPP2005REC[,1:6]
## Abbreviate Column Names 
colnames(data)
## Sort Alphabetically 
sortColnames(data)
## Sort by Column Names by Hierarchical Clustering 
hclustColnames(data)
head(data[, hclustColnames(data)])