X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=doc%2Fdata-io.texi;h=a5ba26f0186eace4fed20f708ae4f9b802916c71;hb=cc0b5800fcdde6126c4fc65b656f39c1459bf17c;hp=cd0fc6386bae2ea99fecfbd8a40c2c5c1451435a;hpb=181b4767c0bfd3db0f8792caa55f276afbf23dda;p=pspp diff --git a/doc/data-io.texi b/doc/data-io.texi index cd0fc6386b..a5ba26f018 100644 --- a/doc/data-io.texi +++ b/doc/data-io.texi @@ -39,6 +39,7 @@ actually be read until a procedure is executed. * INPUT PROGRAM:: Support for complex input programs. * LIST:: List cases in the active dataset. * NEW FILE:: Clear the active dataset. +* MATRIX DATA:: Defining matrix material for procedures. * PRINT:: Display values in print formats. * PRINT EJECT:: Eject the current page then print. * PRINT SPACE:: Print blank lines. @@ -958,6 +959,125 @@ NEW FILE. @cmd{NEW FILE} command clears the dictionary and data from the current active dataset. +@node MATRIX DATA +@section MATRIX DATA +@vindex MATRIX DATA + +@display +MATRIX DATA + VARIABLES = @var{columns} + [eFILE='@var{file_name}'| INLINE @} + [/FORMAT= [@{LIST | FREE@}] + [@{UPPER | LOWER | FULL@}] + [@{DIAGONAL | NODIAGONAL@}]] + [/SPLIT= @var{split_variables}]. +@end display + +The @cmd{MATRIX DATA} command is used to input data in the form of matrices +which can subsequently be used by other commands. If the +@subcmd{FILE} is omitted or takes the value @samp{INLINE} then the command +should immediately followed by @cmd{BEGIN DATA}, @xref{BEGIN DATA}. + +There is one mandatory subcommand, @i{viz:} @subcmd{VARIABLES}, which defines +the @var{columns} of the matrix. +Normally, the @var{columns} should include an item called @samp{ROWTYPE_}. +The @samp{ROWTYPE_} column is used to specify the purpose of a row in the +matrix. + +@example +matrix data + variables = rowtype_ var01 TO var08. + +begin data. +mean 24.3 5.4 69.7 20.1 13.4 2.7 27.9 3.7 +sd 5.7 1.5 23.5 5.8 2.8 4.5 5.4 1.5 +n 92 92 92 92 92 92 92 92 +corr 1.00 +corr .18 1.00 +corr -.22 -.17 1.00 +corr .36 .31 -.14 1.00 +corr .27 .16 -.12 .22 1.00 +corr .33 .15 -.17 .24 .21 1.00 +corr .50 .29 -.20 .32 .12 .38 1.00 +corr .17 .29 -.05 .20 .27 .20 .04 1.00 +end data. +@end example + +In the above example, the first three rows have ROWTYPE_ values of +@samp{mean}, @samp{sd}, and @samp{n}. These indicate that the rows +contain mean values, standard deviations and counts, respectively. +All subsequent rows have a ROWTYPE_ of @samp{corr} which indicates +that the values are correlation coefficients. + +Note that in this example, the upper right values of the @samp{corr} +values are blank, and in each case, the rightmost value is unity. +This is because, the +@subcmd{FORMAT} subcommand defaults to @samp{LOWER DIAGONAL}, +which indicates that only the lower triangle is provided in the data. +The opposite triangle is automatically inferred. One could instead +specify the upper triangle as follows: + + +@example +matrix data + variables = rowtype_ var01 TO var08 + /format = upper nodiagonal. + +begin data. +mean 24.3 5.4 69.7 20.1 13.4 2.7 27.9 3.7 +sd 5.7 1.5 23.5 5.8 2.8 4.5 5.4 1.5 +n 92 92 92 92 92 92 92 92 +corr .17 .50 -.33 .27 .36 -.22 .18 +corr .29 .29 -.20 .32 .12 .38 +corr .05 .20 -.15 .16 .21 +corr .20 .32 -.17 .12 +corr .27 .12 -.24 +corr -.20 -.38 +corr .04 +end data. +@end example + +In this example the @samp{NODIAGONAL} keyword is used. Accordingly +the diagonal values of the matrix are omitted. This implies that +there is one less @samp{corr} line than there are variables. +If the @samp{FULL} option is passed to the @subcmd{FORMAT} subcommand, +then all the matrix elements must be provided, including the diagonal +elements. + +In the preceding examples, each matrix row has been specified on a +single line. If you pass the keyword @var{FREE} to @subcmd{FORMAT} +then the data may be data for several matrix rows may be specified on +the same line, or a single row may be split across lines. + +The @subcmd{SPLIT} is used to indicate that variables are to be +considered as split variables. For example, the following +defines two matrices using the variable @samp{S1} to distinguish +between them. + +@example +matrix data + variables = s1 rowtype_ var01 TO var04 + /split = s1 + /format = full diagonal. + +begin data +0 mean 34 35 36 37 +0 sd 22 11 55 66 +0 n 99 98 99 92 +0 corr 1 9 8 7 +0 corr 9 1 6 5 +0 corr 8 6 1 4 +0 corr 7 5 4 1 +1 mean 44 45 34 39 +1 sd 23 15 51 46 +1 n 98 34 87 23 +1 corr 1 2 3 4 +1 corr 2 1 5 6 +1 corr 3 5 1 7 +1 corr 4 6 7 1 +end data. +@end example + @node PRINT @section PRINT @vindex PRINT