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200 lines (176 loc) · 5.36 KB
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/* File : TScore.java
* Project: Math Tools in Java
* Purpose: Compute Normalized Tscore and
* and Grade Assesment
* Author : Wachara R.
* First Released: Sun 9 March 2008
* Last Updated : Tue 24 May 2008
*/
package tscore;
import simpleStat.SimpleStat;
import simpleStat.SimpleStatException;
/** class for computing nomalized Tscore and
* appropriated grade assesment
* */
public class TScore extends SimpleStat {
/** Percentile */ private double [ ] Percentile;
/** TScore */ private double [ ] Tscore;
/** Grade Option */ private int gradeOption=0;
/** Grade assessment of each score */ private String [ ] grade;
/** Grade Counting */ private int [ ] gradeCount;;
/** Constructor
* @param dat data for computing basic statistics
*/
/** Constructor */
public TScore( ) {
super();
}
public TScore( double[ ] dat) {
super(dat);
findPercentile();
computeTScore();
assessGrade();
}
public TScore( double[ ] dat, int nData, int grOption) {
super(dat,nData);
gradeOption = grOption;
findPercentile();
computeTScore();
assessGrade();
countGrade();
}
/** finding percentiles*/
void findPercentile(){
// if data are not sorted, sort them descendingly.
if (isSorted == false) quickSort( data, 0,numData-1,true);
// if data are not computed cumulated frequency , compute them
if(havingCumulatedFreq=false) findCumulativeFrequency();
Percentile = new double[numData];
for(int i = numDataAtLast -1; i >=0; i--){
if ( i == numDataAtLast-1)
Percentile[i] = 0.5*frequency[i]/numData ;
else
Percentile[i] = (cFrequency[i+1] + 0.5* frequency[i] )/numData;
}
}
void computeTScore() {
Tscore = new double[numDataAtLast];
try
{
for (int i=0;i < numDataAtLast ;i++ ) {
Tscore[i]= findZAtKnownArea (Percentile[i]) ;
// Change z value to T score.
Tscore[i] = Tscore[i]*10.0 +50.0;
}
}
catch (SimpleStatException err)
{ }
}
void assessGrade( ) {
double difference, range;
difference = Tscore[0] - Tscore[numDataAtLast -1];
if (difference < 0) difference = -difference;
grade = new String[numDataAtLast];
switch ( gradeOption) {
case 0 : {
range = difference/5.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "F";
if (Tscore[i] >= 50.0 -1.5*range) grade[i] = "D";
if (Tscore[i] >= 50.0 -1.0*range) grade[i] = "D+";
if (Tscore[i] >= 50.0 -0.5*range) grade[i] = "C";
if (Tscore[i] >= 50.0) grade[i] = "C+";
if (Tscore[i] >= 50.0 +0.5*range) grade[i] = "B";
if (Tscore[i] >= 50.0 +1.0*range) grade[i] = "B+";
if (Tscore[i] >= 50.0 +1.5*range) grade[i] = "A";
}
break;
}
case 1: {
range = difference/5.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "F";
if (Tscore[i] >= 50.0 -1.5*range) grade[i] = "D";
if (Tscore[i] >= 50.0 -0.5*range) grade[i] = "C";
if (Tscore[i] >= 50.0 +0.5*range) grade[i] = "B";
if (Tscore[i] >= 50.0 +1.5*range) grade[i] = "A";
}
break;
}
case 2: {
range = difference/4.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "D";
if (Tscore[i] >= 50.0 -1.25*range) grade[i] = "D+";
if (Tscore[i] >= 50.0 -1.0*range) grade[i] = "C";
if (Tscore[i] >= 50.0 -0.5*range) grade[i] = "C+";
if (Tscore[i] >= 50.0) grade[i] = "B";
if (Tscore[i] >= 50.0 +0.5*range) grade[i] = "B+";
if (Tscore[i] >= 50.0 +1.0*range) grade[i] = "A";
}
break;
}
case 3: {
range = difference/4.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "D";
if (Tscore[i] >= 50.0 -1.0*range) grade[i] = "C";
if (Tscore[i] >= 50.0) grade[i] = "B";
if (Tscore[i] >= 50.0 +1.0*range) grade[i] = "A";
}
break;
}
case 4: {
range =difference/3.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "C";
if (Tscore[i] >= 50.0 -0.75*range) grade[i] = "C+";
if (Tscore[i] >= 50.0 -0.5*range) grade[i] = "B";
if (Tscore[i] >= 50.0) grade[i] = "B+";
if (Tscore[i] >= 50.0 +0.5*range) grade[i] = "A";
}
break;
}
case 5 : {
range = difference/3.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "C";
if (Tscore[i] >= 50.0 -0.5*range) grade[i] = "B";
if (Tscore[i] >= 50.0 +0.5*range) grade[i] = "A";
}
break;
}
case 6 : {
range = difference/2.0;
for(int i = 0 ; i < numDataAtLast ; i++) {
grade[ i ] = "B";
if (Tscore[i] >= 50.0 ) grade[i] = "A";
}
break;
}
} // end switch
}
void countGrade() {
gradeCount = new int[8];
for (int i=0; i <numDataAtLast; i++) {
if(grade[i].equals("A")) gradeCount[0]+= frequency[i];
if(grade[i].equals("B+")) gradeCount[1]+= frequency[i];
if(grade[i].equals("B")) gradeCount[2]+= frequency[i];
if(grade[i].equals("C+")) gradeCount[3]+= frequency[i];
if(grade[i].equals("C")) gradeCount[4]+= frequency[i];
if(grade[i].equals("D+")) gradeCount[5]+= frequency[i];
if(grade[i].equals("D")) gradeCount[6]+= frequency[i];
if(grade[i].equals("F")) gradeCount[7]+= frequency[i];
}
}
public double[ ] getPercentile( ) { return Percentile;}
public double[ ] getTScore( ) { return Tscore;}
public String[ ] getGrade() {return grade; }
public int [ ] getGradeCount() {return gradeCount;}
public int getGradeOption() { return gradeOption;}
public void setGradeOption(int gOption) {
gradeOption = gOption;
if(gradeOption < 0 || gradeOption > 6)
gradeOption=0;
}
}