Visualizing Categorical Data: mosmat

The mosmat macro ( get mosmat.sas)

Macro interface for mosaic matrices

Each pairwise plot shows the marginal frequencies to the order specified by the PLOTS= parameter. When PLOTS=2, these are the bivariate margins, and the residuals from marginal independence are shown by shading. When PLOTS >2, the observed frequencies in a higher-order marginal table are displayed, and the model fit to that marginal table is determined by the FITTYPE= parameter.

Usage

DATA=

Specifies the name of the input dataset. Should contain one observation per cell, the variables listed in VAR= and COUNT=. [Default: DATA=_LAST_]

VAR=

Specifies the names of the factor variables for the contingency table. Abbreviated variable lists (e.g., V1-V3) are not allowed. The levels of the factor variables may be character or numeric, but are used as is in the input data. Upper/lower case in the variable names is respected in the diagonal label panels. You may omit the VAR= variables if variable names are used in the VORDER= parameter.

COUNT=

Specifies the name of the frequency variable in the dataset. The COUNT= variable must be specified.

PLOTS=

The PLOTS= parameter determines the number of table variables displayed in each pairwise mosaic. [Default: PLOTS=2]

CONFIG=

For a user-specified model, config= gives the terms in the model, separated by '/'. For example, to fit the model of no-three-way association, specify CONFIG=1 2 / 1 3 / 2 3, or (using variable names) CONFIG = A B / A C / B C. Note that the numbers refer to the variables after they have been reordered, either sorting the data set, or by the VORDER= parameter.

VORDER=

Specifies either the names of the variables or their indices in the desired order in the mosaic. Note that the using the VORDER= parameter keeps the factor levels in their order in the data.

SORT=

Specifies whether and how the input data set is to be sorted to produce the desired order of variables in the mosaic. SORT=YES sorts the data in the reverse order that they are listed in the VAR= paraemter, so that the variables are entered in the order given in the VAR= parameter. Otherwise, SORT= lists the variable names, possibly with the DESENDING or NOTSORTED options in the reverse of the desired order. e.g., SORT=C DESCENDING B DESCENDING A.

Example

%include vcd(mosmat);        *-- or include in an autocall library;
%include catdata(berkeley);
proc format;
   value admit 1="Admit" 0="Reject" ;
   value dept  1="A" 2="B" 3="C" 4="D" 5="E" 6="F";
   value $sex  'M'='Male'   'F'='Female';
%table(data=berkeley, var=Admit Gender Dept, weight=freq, char=Y,
        format=admit admit. gender $sex. dept dept., 
		  order=data, out=berkeley);

%mosmat(data=berkeley, vorder=Admit Gender Dept, sort=no, htext=3.5);
%mosmat(data=berkeley, vorder=Admit Gender Dept, sort=no, htext=3.5,
	plots=3, fittype=CONDIT);

See also