* DESCRIPTIVES:: Descriptive statistics.
* FREQUENCIES:: Frequency tables.
* EXAMINE:: Testing data for normality.
+* GRAPH:: Plot data.
* CORRELATIONS:: Correlation tables.
* CROSSTABS:: Crosstabulation tables.
* FACTOR:: Factor analysis and Principal Components analysis.
@vindex EXAMINE
@cindex Exploratory data analysis
-@cindex Normality, testing for
+@cindex normality, testing
@display
EXAMINE
there are many distinct values, then @cmd{EXAMINE} will produce a very
large quantity of output.
+@node GRAPH
+@section GRAPH
+
+@vindex GRAPH
+@cindex Exploratory data analysis
+@cindex normality, testing
+
+@display
+GRAPH
+ /HISTOGRAM = @var{var}
+ /SCATTERPLOT [(BIVARIATE)] = @var{var1} WITH @var{var2} [BY @var{var3}]
+ [ /MISSING=@{LISTWISE, VARIABLE@} [@{EXCLUDE, INCLUDE@}] ]
+ [@{NOREPORT,REPORT@}]
+
+@end display
+
+The @cmd{GRAPH} produces graphical plots of data. Only one of the subcommands
+@subcmd{HISTOGRAM} or @subcmd{SCATTERPLOT} can be specified, i.e. only one plot
+can be produced per call of @cmd{GRAPH}. The @subcmd{MISSING} is optional.
+
+@cindex scatterplot
+
+The subcommand @subcmd{SCATTERPLOT} produces an xy plot of the data. The different
+values of the optional third variable @var{var3} will result in different colours and/or
+markers for the plot. The following is an example for producing a scatterplot.
+
+@example
+GRAPH
+ /SCATTERPLOT = @var{height} WITH @var{weight} BY @var{gender}.
+@end example
+
+This example will produce a scatterplot where height is plotted versus weight. Depending
+on the value of the gender variable, the colour of the datapoint is different. With
+this plot it is possible to analyze gender differences for height vs. weight relation.
+
+@cindex histogram
+
+The subcommand @subcmd{HISTOGRAM} produces a histogram. Only one variable is allowed for
+the histogram plot. For an alternative method to produce histograms @pxref{EXAMINE}. The
+following example produces a histogram plot for variable weigth.
+
+@example
+GRAPH
+ /HISTOGRAM = @var{weight}.
+@end example
+
@node CORRELATIONS
@section CORRELATIONS
crosstabulation tables to be displayed. It has a number of possible
settings:
-@itemize @asis
+@itemize @w{}
@item
@subcmd{TABLES}, the default, causes crosstabulation tables to be output.
@subcmd{NOTABLES} suppresses them.
@subcmd{STATISTICS} subcommand is not given, no statistics are calculated.
@strong{Please note:} Currently the implementation of @cmd{CROSSTABS} has the
-followings bugs:
+following bugs:
@itemize @bullet
@item
-Pearson's R (but not Spearman) is off a little.
-@item
-T values for Spearman's R and Pearson's R are wrong.
-@item
-Significance of symmetric and directional measures is not calculated.
-@item
-Asymmetric ASEs and T values for lambda are wrong.
-@item
-ASE of Goodman and Kruskal's tau is not calculated.
+Significance of some symmetric and directional measures is not calculated.
@item
-ASE of symmetric somers' d is wrong.
+Asymptotic standard error is not calculated for
+Goodman and Kruskal's tau or symmetric Somers' d.
@item
-Approximate T of uncertainty coefficient is wrong.
+Approximate T is not calculated for symmetric uncertainty coefficient.
@end itemize
Fixes for any of these deficiencies would be welcomed.