_CREATE_STAT_ARRAYS_ Method

Outputs the stats JavaScript function and the associated statistics JavaScript arrays on the Dimensions page

This function updates the list of displayed available and selected statistics based on the selected analysis variable.

Syntax

 CALL SEND(OBJID,'_CREATE_STAT_ARRAYS_');

The following output is produced:

var ACTUALSTATS= new Array(
"analysis"
,"NMISS"
,"N"
,"SUM"
,"MIN"
,"MAX"
,"USS"
,"RANGE"
,"AVG"
,"CSS"
,"VAR"
,"STD"
,"STDERR"
,"CV"
,"T"
,"PRT"
,"LCLM"
,"UCLM"
,"PCTSUM"
,"PCTN"
);

var DIFFSTATS= new Array(
"computed"
,"MAX"
,"MIN"
,"PCTN"
,"PCTSUM"
,"SUM"
,"N"
);

var PREDICTSTATS= new Array(
"analysis"
,"NMISS"
,"N"
,"SUM"
,"MIN"
,"MAX"
,"USS"
,"RANGE"
,"AVG"
,"CSS"
,"VAR"
,"STD"
,"STDERR"
,"CV"
,"T"
,"PRT"
,"LCLM"
,"UCLM"
,"PCTSUM"
,"PCTN"
);

var SALESRATSTATS= new Array(
"computed"
,"MAX"
,"MIN"
,"PCTN"
,"PCTSUM"
,"SUM"
,"N"
);


var statslabellist = new Array();
statslabellist["SUM"]="Sum";
statslabellist["PCTSUM"]="Percent of Sum";
statslabellist["AVG"]="Average";
statslabellist["N"]="Total Number of Nonmissing Values";
statslabellist["PCTN"]="Percent of Total Number";
statslabellist["MIN"]="Minimum";
statslabellist["MAX"]="Maximum";
statslabellist["RANGE"]="Range";
statslabellist["NMISS"]="Total Number of Missing Values";
statslabellist["STD"]="Standard Deviation";
statslabellist["STDERR"]="Standard Error of Mean";
statslabellist["LCLM"]="Lower Confidence Limit";
statslabellist["UCLM"]="Upper Confidence Limit";
statslabellist["USS"]="Uncorrected Sum of Squares";
statslabellist["CSS"]="Corrected Sum of Squares";
statslabellist["VAR"]="Variance";
statslabellist["CV"]="Coefficient of Variation";
statslabellist["T"]="T Value";
statslabellist["PRT"]="Probability of Greater Absolute Value";
statslabellist["SUMWGT"]="Sum of Weights";
statslabellist["UWSUM"]="Unweighted Sum";
statslabellist["NUNIQUE"]="Nunique";
statslabellist["MIXED"]="*MIXED SELECTIONS";

analysisdesclist = new Array(
"SUM"
,"PCTSUM"
,"AVG"
,"N"
,"PCTN"
,"MIN"
,"MAX"
,"RANGE"
,"NMISS"
,"STD"
,"STDERR"
,"LCLM"
,"UCLM"
,"USS"
,"CSS"
,"VAR"
,"CV"
,"T"
,"PRT"
,"SUMWGT"
,"UWSUM"
);

computeddesclist = new Array(
"MAX"
,"MIN"
,"PCTN"
,"PCTSUM"
,"SUM"
,"N"
);

cnuniquedesclist = new Array(
"SUM"
);

nuniquedesclist = new Array(
"NUNIQUE"
);

var vararrayname = new Array();
num = 0;

//STATS
function stats(select,statbox) {
var vararrayname="";
var varstatsstring="";
var allstatsstring="";
for (i=0; i < select.options.length; i++) {
    if (select.options[i].selected) {
       vararrayname=select.options[i].value+"STATS";
       varstatsstring=eval(vararrayname).toString();
       if (num==1) {
          varstatsstring=eval(vararrayname)[0];
          for (j=0; j < statbox.length; j++) {
              if (statbox.options[j].text!="")
                 varstatsstring+= "," +statbox.options[j].value;
          }
       }
       else {
          if (num>1) {
             allstatsarray=eval(vararrayname[0]+"desclist");
             allstatsstring=allstatsarray.toString();
             if (""!=statbox.options[j].text!="" && "*MIXED SELECTIONS"!=statbox.options[j].text && -1==varstatsstring.indexOf(statbox.options[j].value) ){
                varstatsstring+= "," +statbox.options[j].value ;
             }
         }
       }
    temparray=varstatsstring.split(",");
    if ("ACTUALSTATS"==vararrayname) {
    ACTUALSTATS.length=temparray.length;
       for (k=0; k < temparray.length; k++)
        ACTUALSTATS[k]=temparray[k];
    }
    else if ("DIFFSTATS"==vararrayname) {
    DIFFSTATS.length=temparray.length;
       for (k=0; k < temparray.length; k++)
        DIFFSTATS[k]=temparray[k];
    }
    else if ("PREDICTSTATS"==vararrayname) {
    PREDICTSTATS.length=temparray.length;
       for (k=0; k < temparray.length; k++)
        PREDICTSTATS[k]=temparray[k];
    }
    else if ("SALESRATSTATS"==vararrayname) {
    SALESRATSTATS.length=temparray.length;
       for (k=0; k < temparray.length; k++)
        SALESRATSTATS[k]=temparray[k];
    }

  }
}
}//STATS