8/27/2001 This is Fortran archive package of Non-metric Multidimensional Scaling Method (NMDS) developed by Y-h. Taguchi and Y. Oono. Ver. 1.2. For installation, see INSTALL. For instruction, see INSTRUCTION. For differences between versions, see CHANGELOG The construction of this package is as follows: MDS_final : directory includes Fortran source codes MDS_final/utilities : directory includes utilities MDS_final/distcal1 : directory includes example of distcal1.f MDS_final/doc : some technical details Contents of MDS_final : README : This file. INSTALL : installation how to. INSTRUCTION : brief instruction of this package. Makefile : is Makefile mds.f : main routine. mds-cgi.f : main routine for output of geomview format Subroutines distcal.f : compute distance matrix of obtained configuration. distcal1.f : compute distance matrix of target configuration. (In this package, it reads d dimensional vector from file fort.51. Modify it as you like) It is same as distcal1/distcal1_vec.f. fcal.f : compute 'Force' along bonds. init.f : initialization. prep.f : compute rank order data for targeted configuration. renorm.f : centered and normalize vector. test.f : compute significant level for obtained configuration. geomview_out.f : output geomview format of obtained config. rand.f: uniform random number generator form SLATEC (*) spsort.f : quick sort routine form SLATEC (*) Subroutines called by spsort.f itself or those called by spsort.f is as follows: fdump.f : i1mach.f : j4save.f : xerhlt.f : xercnt.f : xermsg.f : xerprn.f : xersve.f : xgetua.f : (*)SLATEC http://phase.etl.co.jp/mirrors/netlib/slatec/ Contents of MDS_final/utilities: Makefile : is Makefile ranvec.f : generate vectors whose components are random numbers hypercube.f : generate hypercube (3 dimensional) Contents of MDS_final/distcal1 : distcal1_vec.f : compute distance matrix of target configuration, d dimensional vector from file fort.51. Content of MDS_final/doc : README : some explanation paper.pdf : much more technical details (unpublished) This package is tested on Kondara 2.0 (http://www.kondara.org), which is one of major distribution of Linux. It employs usual g77 compilers, thus this package would be executed for any computer system with Fortran compiler.