// //Count command //This command outputs list of count for every category of variables. // //Quation //If variable type is number, this value is categoraize automaticaly. //Syntax no option count [variables]; //Syntax used option count [variables]/ [options] ; //Options [variable]:code //if variable type is numeric code,you have to appoint as code. [variable]:continuous //if numeric type, you don't need to define explicitly. [variable]:moji //if character type, you don't need to define explicitly. [variable]:zero //if you appoint zero,number of zero value can be counted. [variable]:format=[filename] //if you use format file,list items is categorized by format. //Example 1 //read bank employment data in USA get bankR.csv@; //number of count for job-kind and minority count minority jobcat/ jobcat:code minority:code ;
// //You can use format in count list by appointing format file. // //jobcat format hand *id idnm/ 1 1:stuff 2 2:trainning 3 3:gardman 4 4:specialist 5 5:director 6 6:MBA 7 7:engineer ; put jobcat_; //minority format hand *id idnm/ 0 0:white 1 1:colored ; put minority_; get bankR.csv@; //Exsample 2 in format version count minority jobcat/ jocat:format=jobcat_ minority:format=minority_ ;
//Read output of count command. get freq@ana; //Plot bar graph by jobcat and minority. //This show of counts by each jobcat with minority or not. plot bar COUNT by jobcat;
Comparing stuff with specialist composition rate is quite different depending not minority or minority.