Package: aspace
Type: Package
Title: A collection of functions for estimating centrographic
statistics and computational geometries for spatial point
patterns
Version: 3.2
Date: 2012-08-08
Author: Randy Bui, Ron N. Buliung, Tarmo K. Remmel
Maintainer: Ron N. Buliung <ron.buliung@utoronto.ca>
Description: A collection of functions for computing centrographic
statistics (e.g., standard distance, standard deviation
ellipse, standard deviation box) for observations taken at
point locations. Separate plotting functions have been
developed for each measure. Users interested in writing results
to ESRI shapefiles can do so by using results from aspace
functions as inputs to the convert.to.shapefile and
write.shapefile functions in the shapefiles library. The aspace
library was originally conceived to aid in the analysis of
spatial patterns of travel behaviour (see Buliung and Remmel,
2008). Major changes in the current version include (1) removal
of dependencies on several external libraries (e.g., gpclib,
maptools, sp), (2) the separation of plotting and estimation
capabilities, (3) reduction in the number of functions, and (4)
expansion of analytical capabilities with additional functions
for descriptive analysis and visualization (e.g., standard
deviation box, centre of minimum distance, central feature).
License: GPL (>= 2)
Depends: R (>= 2.15.1), splancs, Hmisc, shapefiles
LazyData: yes
Packaged: 2012-08-13 19:43:52 UTC; Randy Bui
Repository: CRAN
Date/Publication: 2012-08-14 12:37:42

Package: aspect
Type: Package
Title: Aspects of Multivariables
Version: 0.8-0
Date: 2008-03-13
Author: Jan de Leeuw, Patrick Mair
Maintainer: Jan de Leeuw <deleeuw@stat.ucla.edu>
Description: This package consists of two main functions: The first
function is corAspect() performs (optimal) scaling by
maximizing an aspect (i.e. target function such as sum
eigenvalues, sum of squared correlations, squared multiple
correlations, etc.) of the corresponding correlation matrix.
The second function is lineals() which performs scaling by
mimimization a non-correlational aspect based on pairwise
correlations and correlation ratios. The resulting correlation
matrix and category scores can be used for further multivariate
methods such as SEM. A platform including related PsychoR
packages is provided on R-forge.
License: GPL
URL: http://r-forge.r-project.org/projects/psychor/
LazyLoad: yes
Packaged: Fri Mar 13 15:44:58 2009; admin
Repository: CRAN
Date/Publication: 2009-03-14 11:08:19