From: John Darrington Date: Fri, 21 May 2010 08:07:02 +0000 (+0200) Subject: Added brief documentation about the FACTOR command's rotation feature X-Git-Tag: v0.7.5~8 X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?p=pspp-builds.git;a=commitdiff_plain;h=18ef561271ad1b619f62d994e3dc2286958532f1 Added brief documentation about the FACTOR command's rotation feature --- diff --git a/doc/statistics.texi b/doc/statistics.texi index fd1f7214..81e16698 100644 --- a/doc/statistics.texi +++ b/doc/statistics.texi @@ -547,7 +547,9 @@ FACTOR VARIABLES=var_list [ /EXTRACTION=@{PC, PAF@}] - [ /PRINT=[INITIAL] [EXTRACTION] [UNIVARIATE] [CORRELATION] [COVARIANCE] [DET] [SIG] [ALL] [DEFAULT] ] + [ /ROTATION=@{VARIMAX, EQUAMAX, QUARTIMAX, NOROTATE@}] + + [ /PRINT=[INITIAL] [EXTRACTION] [ROTATION] [UNIVARIATE] [CORRELATION] [COVARIANCE] [DET] [SIG] [ALL] [DEFAULT] ] [ /PLOT=[EIGEN] ] @@ -567,6 +569,11 @@ The /EXTRACTION subcommand is used to specify the way in which factors (componen If PC is specified, then Principal Components Analysis is used. If PAF is specified, then Principal Axis Factoring is used. By default Principal Components Analysis will be used. +The /ROTATION subcommand is used to specify the method by which the extracted solution will be rotated. +Three methods are available: VARIMAX (which is the default), EQUAMAX, and QUARTIMAX. +If don't want any rotation to be performed, the word NOROTATE will prevent the command from performing any +rotation on the data. Oblique rotations are not supported. + The /METHOD subcommand should be used to determine whether the covariance matrix or the correlation matrix of the data is to be analysed. By default, the correlation matrix is analysed. @@ -579,6 +586,8 @@ The /PRINT subcommand may be used to select which features of the analysis are r Initial communalities and eigenvalues are printed. @item EXTRACTION Extracted communalities and eigenvalues are printed. +@item ROTATION + Rotated communalities and eigenvalues are printed. @item CORRELATION The correlation matrix is printed. @item COVARIANCE