Added a base parameter to the interaction_case_hash function

[pspp] / doc / statistics.texi

diff --git a/doc/statistics.texi b/doc/statistics.texi
index 0b2fdaf5c01b1d41181dfcc8a6d2a11fcb2730f7..18cc79e7ace82bdd38e55b4908aaf64a5e8a47b3 100644 (file)
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -556,7 +556,7 @@ FACTOR  VARIABLES=var_list
 
         [ /ROTATION=@{VARIMAX, EQUAMAX, QUARTIMAX, NOROTATE@}]
 
 
         [ /ROTATION=@{VARIMAX, EQUAMAX, QUARTIMAX, NOROTATE@}]
 

-        [ /PRINT=[INITIAL] [EXTRACTION] [ROTATION] [UNIVARIATE] [CORRELATION] [COVARIANCE] [DET] [SIG] [ALL] [DEFAULT] ]
+        [ /PRINT=[INITIAL] [EXTRACTION] [ROTATION] [UNIVARIATE] [CORRELATION] [COVARIANCE] [DET] [KMO] [SIG] [ALL] [DEFAULT] ]

 
         [ /PLOT=[EIGEN] ]
 
 
         [ /PLOT=[EIGEN] ]
 


@@ -601,6 +601,8 @@ The /PRINT subcommand may be used to select which features of the analysis are r
       The covariance matrix is printed.
 @item DET
       The determinant of the correlation or covariance matrix is printed.
       The covariance matrix is printed.
 @item DET
       The determinant of the correlation or covariance matrix is printed.

+@item KMO
+      The Kaiser-Meyer-Olkin measure of sampling adequacy and the Bartlett test of sphericity is printed.

 @item SIG
       The significance of the elements of correlation matrix is printed.
 @item ALL
 @item SIG
       The significance of the elements of correlation matrix is printed.
 @item ALL


@@ -685,9 +687,11 @@ is used.
 * COCHRAN::                 Cochran Q Test
 * FRIEDMAN::                Friedman Test
 * KENDALL::                 Kendall's W Test
 * COCHRAN::                 Cochran Q Test
 * FRIEDMAN::                Friedman Test
 * KENDALL::                 Kendall's W Test

+* KOLMOGOROV-SMIRNOV::      Kolmogorov Smirnov Test

 * KRUSKAL-WALLIS::          Kruskal-Wallis Test
 * MANN-WHITNEY::            Mann Whitney U Test
 * MCNEMAR::                 McNemar Test
 * KRUSKAL-WALLIS::          Kruskal-Wallis Test
 * MANN-WHITNEY::            Mann Whitney U Test
 * MCNEMAR::                 McNemar Test

+* MEDIAN::                  Median Test

 * RUNS::                    Runs Test
 * SIGN::                    The Sign Test
 * WILCOXON::                Wilcoxon Signed Ranks Test
 * RUNS::                    Runs Test
 * SIGN::                    The Sign Test
 * WILCOXON::                Wilcoxon Signed Ranks Test


@@ -816,6 +820,45 @@ It has the range [0,1] --- a value of zero indicates no agreement between the sa
 unity indicates complete agreement.
 
 
 unity indicates complete agreement.
 
 

+@node KOLMOGOROV-SMIRNOV
+@subsection Kolmogorov-Smirnov Test
+@vindex KOLMOGOROV-SMIRNOV
+@vindex K-S
+@cindex Kolmogorov-Smirnov test
+
+@display
+     [ /KOLMOGOROV-SMIRNOV (@{NORMAL [@var{mu}, @var{sigma}], UNIFORM [@var{min}, @var{max}], POISSON [@var{lambda}], EXPONENTIAL [@var{scale}] @}) = varlist ]
+@end display
+
+The one sample Kolmogorov-Smirnov subcommand is used to test whether or not a dataset is
+drawn from a particular distribution.  Four distributions are supported, @i{viz:}
+Normal, Uniform, Poisson and Exponential.
+
+Ideally you should provide the parameters of the distribution against which you wish to test
+the data. For example, with the normal distribution  the mean (@var{mu})and standard deviation (@var{sigma})
+should be given; with the uniform distribution, the minimum (@var{min})and maximum (@var{max}) value should
+be provided.
+However, if the parameters are omitted they will be imputed from the data. Imputing the
+parameters reduces the power of the test so should be avoided if possible.
+
+In the following example, two variables @var{score} and @var{age} are tested to see if
+they follow a normal distribution with a mean of 3.5 and a standard deviation of 2.0.
+@example
+  NPAR TESTS
+        /KOLMOGOROV-SMIRNOV (normal 3.5 2.0) = @var{score} @var{age}.
+@end example
+If the variables need to be tested against different distributions, then a seperate
+subcommand must be used.  For example the following syntax tests @var{score} against
+a normal distribution with mean of 3.5 and standard deviation of 2.0 whilst @var{age}
+is tested against a normal distribution of mean 40 and standard deviation 1.5.
+@example
+  NPAR TESTS
+        /KOLMOGOROV-SMIRNOV (normal 3.5 2.0) = @var{score}
+        /KOLMOGOROV-SMIRNOV (normal 40 1.5) =  @var{age}.
+@end example
+
+The abbreviated subcommand  K-S may be used in place of KOLMOGOROV-SMIRNOV.
+

 @node KRUSKAL-WALLIS
 @subsection Kruskal-Wallis Test
 @vindex KRUSKAL-WALLIS
 @node KRUSKAL-WALLIS
 @subsection Kruskal-Wallis Test
 @vindex KRUSKAL-WALLIS


@@ -889,6 +932,31 @@ The data in each variable must be dichotomous.  If there are more
 than two distinct variables an error will occur and the test will
 not be run.
 
 than two distinct variables an error will occur and the test will
 not be run.
 

+@node MEDIAN
+@subsection Median Test
+@vindex MEDIAN
+@cindex Median test
+
+@display
+     [ /MEDIAN [(value)] = varlist BY variable (value1, value2) ]
+@end display
+
+The median test is used to test whether independent samples come from 
+populations with a common median.
+The median of the populations against which the samples are to be tested
+may be given in parentheses immediately after the 
+/MEDIAN subcommand.  If it is not given, the median will be imputed from the 
+union of all the samples.
+
+The variables of the samples to be tested should immediately follow the @samp{=} sign. The
+keyword @code{BY} must come next, and then the grouping variable.  Two values
+in parentheses should follow.  If the first value is greater than the second,
+then a 2 sample test is performed using these two values to determine the groups.
+If however, the first variable is less than the second, then a @i{k} sample test is
+conducted and the group values used are all values encountered which lie in the
+range [@var{value1},@var{value2}].
+
+

 @node RUNS
 @subsection Runs Test
 @vindex RUNS
 @node RUNS
 @subsection Runs Test
 @vindex RUNS