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metrics.js
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metrics.js
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function compute_data_firstlens(data_id){
fixs = DATASETS[data_id].fixs;
for(j=0; j<fixs.length; j++){
v = 0;
while(v<lenses.length && !lenses[v].inside(fixs[j].x, fixs[j].y) ){ v++; }
fixs[j].firstlens = v; // first lens == lenses.length means outside all lenses, used for indirect transitions between lens
if(v < lenses.length)
fixs[j].firstlensegroup = lenses[v].group;
else
fixs[j].firstlensegroup = -1;
}
}
function compute_compare(data1, data2){
if(MATRIX_VIEW_STATE == 'dat_dat')
metric = document.getElementById('metrics_3').value;
else
metric = document.getElementById('metrics_0').value;
result = 0; sump = 0; suma = 0; sumb = 0;
if(data1 == undefined || data2 == undefined) {return result;};
try{
if(metric == 'aoi_sequencescore'){
if(data1.firstlens != undefined && data2.firstlens != undefined) {
//pre-process sequence string: make sure adjacent character is different, i.e., compress chars that repeat itself before a different one, because we don't really
//care about duplicate fixations over the same AOIs.
let inputSequenceA = [], inputSequenceB = [];
for(let i = 0; i < data1.firstlens.length; i++) {
if(data1.firstlens[i] > -1 && data1.firstlens[i] < lenses.length && (inputSequenceA.length == 0 || inputSequenceA[inputSequenceA.length-1] != data1.firstlens[i]))
inputSequenceA.push(data1.firstlens[i]);
}
for(let i = 0; i < data2.firstlens.length; i++) {
if(data2.firstlens[i] > -1 && data2.firstlens[i] < lenses.length && (inputSequenceB.length == 0 || inputSequenceB[inputSequenceB.length-1] != data2.firstlens[i]))
inputSequenceB.push(data2.firstlens[i]);
}
result = compute_sequence_score(inputSequenceA, inputSequenceB, SEQUENCE_SCORE_MISMATCH_PENALTY, SEQUENCE_SCORE_GAP_PENALTY, SEQUENCE_SCORE_SKEW_PENALTY);
}
}else if(metric == 'lensegroup_sequencescore'){
if(data1.firstlensegroup != undefined && data2.firstlensegroup != undefined) {
let inputSequenceA = [], inputSequenceB = [];
for(let i = 0; i < data1.firstlensegroup.length; i++) {
if(data1.firstlensegroup[i] > -1 && (inputSequenceA.length == 0 || inputSequenceA[inputSequenceA.length-1] != data1.firstlensegroup[i]))
inputSequenceA.push(data1.firstlensegroup[i]);
}
for(let i = 0; i < data2.firstlensegroup.length; i++) {
if(data2.firstlensegroup[i] > -1 && (inputSequenceB.length == 0 || inputSequenceB[inputSequenceB.length-1] != data2.firstlensegroup[i]))
inputSequenceB.push(data2.firstlensegroup[i]);
}
result = compute_sequence_score(inputSequenceA, inputSequenceB, SEQUENCE_SCORE_MISMATCH_PENALTY, SEQUENCE_SCORE_GAP_PENALTY, SEQUENCE_SCORE_SKEW_PENALTY);
}
}else if(metric == 'aoi_cosine'){
tA = data1.direct_transitions;
tB = data2.direct_transitions;
for(l1=0; l1< Math.min(tA.length, tB.length); l1++){
for(l2=0; l2< Math.min(tA[l1].length, tB[l1].length); l2++){
ta = tA[l1][l2]; tb = tB[l1][l2];
sump += ta*tb; suma += ta*ta; sumb += tb*tb;
}
}
if(suma != 0 && sumb != 0){ result = sump / Math.sqrt( suma * sumb ); }
}else if(metric == 'grid_cosine'){
tA = data1.grid_transitions;
tB = data2.grid_transitions;
for(l1=0; l1< Math.min(tA.length, tB.length); l1++){
for(l2=0; l2< Math.min(tA[l1].length, tB[l1].length); l2++){
ta = tA[l1][l2]; tb = tB[l1][l2];
sump += ta*tb; suma += ta*ta; sumb += tb*tb;
}
}
if(suma != 0 && sumb != 0){ result = sump / Math.sqrt( suma * sumb ); }
}else if(metric == 'aoi_density'){
tA = data1.lenstime;
tB = data2.lenstime;
suma = data1.totaltime;
sumb = data2.totaltime;
if( suma*sumb == 0){ return 0; }
for(l=0; l < Math.min(tA.length, tB.length, lenses.length); l ++){ ta = tA[l]; tb = tB[l]; sump += Math.min(ta/suma, tb/sumb); }
result = sump;
}else if(metric == 'grid_density'){
tA = data1.grid_density;
tB = data2.grid_density;
for(l=0; l < Math.min(tA.length, tB.length, GRID_N**2); l++){ ta = tA[l]; tb = tB[l]; suma += ta; sumb += tb; }
if( suma*sumb == 0){ return 0; }
for(l=0; l < Math.min(tA.length, tB.length, GRID_N**2); l++){ ta = tA[l]; tb = tB[l]; sump += Math.min(ta/suma, tb/sumb); }
result = sump;
}else if(metric == 'cont_density'){
tA = data1.values; tA_tot = data1.total_value;
tB = data2.values; tB_tot = data2.total_value;
for(var l1=0; l1< Math.min(tA.length, tB.length); l1++){
for(var l2=0; l2< Math.min(tA[l1].length, tB[l1].length); l2++){
ta = tA[l1][l2]/ tA_tot; tb = tB[l1][l2]/tB_tot;
sump += Math.min(ta, tb);
}
}
result = sump;
}
}catch(error){
}
return result;
}
/*
* adapted from https://berthub.eu/nwunsch/
*/
function compute_sequence_score(ain, bin, mispen, gappen, skwpen)
{
let i, j ,k;
let dn,rt,dg;
let ia = ain.length, ib = bin.length;
let aout=[]; // .resize(ia+ib);
let bout=[];
let num_operations = 0;
let summary=[];
let cost=[];
let marked=[];
for(n=0 ; n < ia+1 ;++n) {
cost[n] = new Array(ib+1);
marked[n] = new Array(ib+1);
}
cost[0][0] = 0.;
for (i=1;i<=ia;i++) cost[i][0] = cost[i-1][0] + skwpen;
for (i=1;i<=ib;i++) cost[0][i] = cost[0][i-1] + skwpen;
for (i=1;i<=ia;i++) for (j=1;j<=ib;j++) {
dn = cost[i-1][j] + ((j == ib)? skwpen : gappen);
rt = cost[i][j-1] + ((i == ia)? skwpen : gappen);
dg = cost[i-1][j-1] + ((ain[i-1] == bin[j-1])? -1. : mispen);
cost[i][j] = Math.min(dn,rt,dg);
}
i=ia; j=ib; k=0;
while (i > 0 || j > 0) {
marked[i][j]=1;
dn = rt = dg = 9.99e99;
if (i>0) dn = cost[i-1][j] + ((j==ib)? skwpen : gappen);
if (j>0) rt = cost[i][j-1] + ((i==ia)? skwpen : gappen);
if (i>0 && j>0) dg = cost[i-1][j-1] + ((ain[i-1] == bin[j-1])? -1. : mispen);
if (dg <= Math.min(dn,rt)) {
aout[k] = ain[i-1];
bout[k] = bin[j-1];
if(ain[i-1] == bin[j-1]) {
summary[k++] = '=' ;
}
else {
num_operations++;
summary[k++] = '!';
}
i--; j--;
}
else if (dn < rt) {
aout[k] = ain[i-1];
bout[k] = ' ';
num_operations++;
summary[k++] = ' ';
i--;
}
else {
aout[k] = ' ';
bout[k] = bin[j-1];
num_operations++;
summary[k++] = ' ';
j--;
}
marked[i][j]=1;
}
let num_longest_sequence = Math.max(ain.length, bin.length);
let sequence_score = 0;
if(summary.length > 0)
sequence_score = 1-(num_operations)/summary.length;
return sequence_score;
}
function compute_toi_metrics(data_id, toi_id){
// set up the values needed
let data = DATASETS[data_id];
let toi = data.tois[toi_id];
if(!toi.included) return;
let fixs = data.fixs;
toi.firstlens = []; toi.lenscount = []; toi.lenstime = []; toi.totalcount = 0; toi.totaltime = 0; toi.visit_durations = []; toi.visit_totals=[];
toi.lensegroup_lenscount = []; toi.lensegroup_lenstime = []; toi.lensegroup_visit_durations = []; toi.lensegroup_visit_totals = [];
toi.firstlensegroup = [];
toi.total_saccadelength = 0;
toi.number_saccades = 0;
for(i=0; i<lenses.length; i++){
toi.lenscount.push(0); toi.lenstime.push(0); toi.visit_durations.push([]); toi.visit_totals.push(0);
}
for(i=0; i<ORDERLENSEGROUPIDARRAYINDEX.length; i++){
toi.lensegroup_lenscount.push(0); toi.lensegroup_lenstime.push(0); toi.lensegroup_visit_durations.push([]); toi.lensegroup_visit_totals.push(0);
}
if(fixs.length == 0){ return; } // escape if the fixation list is empty
// get the timerange
ts = data.t_start; te = data.t_end;
tmin = ts + (te - ts)*toi.range[0]; tmax = ts + (te - ts)*toi.range[1];
toi.tmin = tmin; toi.tmax = tmax;
// skip to the start of the selection
j = 0;
while(j < fixs.length && fixs[j].t < tmin){
j++;
}
// read in the fixation details
//if this TWI starts with a partial fixation, we still consider it
if(fixs[j] == undefined && j == fixs.length) {
toi.j_min = -1;
toi.j_max = -1;
return;
}
if(fixs[j].t > tmin && fixs[j-1] != undefined && fixs[j-1].t != undefined && fixs[j-1].t + fixs[j-1].dt > tmin)
toi.j_min = j-1;
else
toi.j_min = j;
for(; j<fixs.length && fixs[j].t < tmax; j++){
// add to totals
toi.totalcount += 1;
toi.totaltime += fixs[j].dt;
let sac = data.sacs[j];
if(sac != undefined) {
toi.total_saccadelength += sac.length;
toi.number_saccades++;
}
for(var l=0; l<lenses.length; l++){
if(lenses[l].inside(fixs[j].x, fixs[j].y)){
toi.lenscount[l] += 1;
toi.lenstime[l] += fixs[j].dt;
}
}
if(fixs[j].firstlens == undefined) {
//KT: handle exceptional case where fixs[j].firstlens is undefined
let v = 0;
while(v<lenses.length && !lenses[v].inside(fixs[j].x, fixs[j].y) ){ v++; }
fixs[j].firstlens = v;
if(v < lenses.length)
fixs[j].firstlensegroup = lenses[v].group;
else
fixs[j].firstlensegroup = -1;
}
toi.firstlens.push(fixs[j].firstlens);
toi.firstlensegroup.push(fixs[j].firstlensegroup);
// add to lense group
for(let l=0; l<ORDERLENSEGROUPIDARRAYINDEX.length; l++) {
for(let l2=0; l2<lenses.length; l2++){
if(LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]] == undefined || LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]] == null)
console.log("ORDERLENSEGROUPIDARRAYINDEX: "+ORDERLENSEGROUPIDARRAYINDEX+", ORDERLENSEGROUPIDARRAYINDEX["+l+"]="+ORDERLENSEGROUPIDARRAYINDEX[l]+"; LENSEGROUPS: "+LENSEGROUPS.map(x=> x.group));
if(LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]] != undefined && lenses[l2].group == LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]].group && lenses[l2].inside(fixs[j].x, fixs[j].y)){
toi.lensegroup_lenscount[l] += 1;
toi.lensegroup_lenstime[l] += fixs[j].dt;
}
}
}
}
toi.j_max = j;
// visit durations
var visit_lens = lenses.length;
var duration = 0;
for(j=toi.j_min; j<toi.j_max-1; j++){
var current_lens = lenses.length;
for(var l=0; l<lenses.length; l++){ if(lenses[l].inside(fixs[j].x, fixs[j].y)){ current_lens = l; } }
if( current_lens == visit_lens && visit_lens < lenses.length ){
duration += (fixs[j].t - fixs[j-1].t) + fixs[j].dt;
}else if( visit_lens < lenses.length ){
toi.visit_durations[visit_lens].push(duration); toi.visit_totals[visit_lens] += duration;
visit_lens = current_lens;
duration = fixs[j].dt;
}else{
visit_lens = current_lens;
duration = fixs[j].dt;
}
}
// handle visit durations at lense group level
visit_lens = ORDERLENSEGROUPIDARRAYINDEX.length;
duration = 0;
for(j=toi.j_min; j<toi.j_max-1; j++){
let current_lens = ORDERLENSEGROUPIDARRAYINDEX.length;
for(let l=0; l<ORDERLENSEGROUPIDARRAYINDEX.length; l++){
for(let l2=0; l2<lenses.length; l2++){
if(LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]] != undefined && lenses[l2].group == LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]].group && lenses[l2].inside(fixs[j].x, fixs[j].y)){
current_lens = l;
}
}
}
if( current_lens == visit_lens && visit_lens < ORDERLENSEGROUPIDARRAYINDEX.length ){
duration += (fixs[j].t - fixs[j-1].t) + fixs[j].dt;
}else if( visit_lens < ORDERLENSEGROUPIDARRAYINDEX.length ){
toi.lensegroup_visit_durations[visit_lens].push(duration); toi.lensegroup_visit_totals[visit_lens] += duration;
visit_lens = current_lens;
duration = fixs[j].dt;
}else{
visit_lens = current_lens;
duration = fixs[j].dt;
}
}
//swap comparison order, needed for medians
toi.lensmedian = [];
for(let l=0; l<lenses.length; l++){
let lenstimes = [];
j = 0;
while(j < fixs.length && fixs[j].t < tmin){ j++; }
for(j = toi.j_min; j<toi.j_max; j++){
if(lenses[l].inside(fixs[j].x, fixs[j].y)){
lenstimes.push(fixs[j].dt);
}
}
lenstimes.sort(function(a, b) { return a - b; } );
let mid = Math.ceil(lenstimes.length / 2);
toi.lensmedian.push ( lenstimes.length % 2 == 0 ? (lenstimes[mid] + lenstimes[mid - 1]) / 2 : lenstimes[mid - 1] );
}
// compute metrics for each lense group
toi.lensegroup_lensmedian = [];
for(let l=0; l<ORDERLENSEGROUPIDARRAYINDEX.length; l++){
let lenstimes = [];
j = 0;
while(j < fixs.length && fixs[j].t < tmin){ j++; }
for(j = toi.j_min; j<toi.j_max; j++){
for(let l2=0; l2<lenses.length; l2++){
if(LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]] != undefined && lenses[l2].group == LENSEGROUPS[ORDERLENSEGROUPIDARRAYINDEX[l]].group && lenses[l2].inside(fixs[j].x, fixs[j].y)){
lenstimes.push(fixs[j].dt);
}
}
}
lenstimes.sort(function(a, b) { return a - b; } );
let mid = Math.ceil(lenstimes.length / 2);
toi.lensegroup_lensmedian.push ( lenstimes.length % 2 == 0 ? (lenstimes[mid] + lenstimes[mid - 1]) / 2 : lenstimes[mid - 1] );
}
// read in the reduced firstlens list (only when transitions occur)
toi.reduced_firstlens = []; toi.reduced_firstlens_nonempty = [];
toi.lensegroup_reduced_firstlens = []; toi.lensegroup_reduced_firstlens_nonempty = [];
// make transitions table
toi.direct_transitions = []; toi.indirect_transitions = []; toi.triples = [];
for(let a=0; a<=lenses.length; a++){
toi.direct_transitions.push([]); toi.indirect_transitions.push([]); toi.triples.push([]);
for(let b=0; b<=lenses.length; b++){
toi.direct_transitions[a].push(0); toi.indirect_transitions[a].push(0); toi.triples[a].push([]);
for(let c=0; c<=lenses.length; c++){
toi.triples[a][b].push(0);
}
}
}
// make transitions table for each lense group
toi.lensegroup_direct_transitions = []; toi.lensegroup_indirect_transitions = []; toi.lensegroup_triples = [];
for(let a=0; a<=ORDERLENSEGROUPIDARRAYINDEX.length; a++){
toi.lensegroup_direct_transitions.push([]); toi.lensegroup_indirect_transitions.push([]); toi.lensegroup_triples.push([]);
for(let b=0; b<=ORDERLENSEGROUPIDARRAYINDEX.length; b++){
toi.lensegroup_direct_transitions[a].push(0); toi.lensegroup_indirect_transitions[a].push(0); toi.lensegroup_triples[a].push([]);
for(let c=0; c<=ORDERLENSEGROUPIDARRAYINDEX.length; c++){
toi.lensegroup_triples[a][b].push(0);
}
}
}
if(toi.firstlens.length > 0){
toi.reduced_firstlens.push(toi.firstlens[0]);
for(j = 1; j<toi.firstlens.length; j++){
jlens = toi.firstlens[j];
if( jlens!= toi.reduced_firstlens[ toi.reduced_firstlens.length-1 ] ){
toi.reduced_firstlens.push(jlens);
}
else {
//self-transition
toi.direct_transitions[ jlens ][ jlens ] += 1;
toi.indirect_transitions[ jlens ][ jlens ] += 1;
toi.triples[jlens ][ jlens ][ jlens ] += 1;
}
if( jlens != lenses.length && (toi.reduced_firstlens_nonempty.length == 0 || jlens != toi.reduced_firstlens_nonempty[ toi.reduced_firstlens_nonempty.length - 1]) ){
toi.reduced_firstlens_nonempty.push(jlens);
}
//handle lense group
if( jlens < lenses.length && ORDERLENSEGROUPID.indexOf(lenses[jlens].group) != toi.lensegroup_reduced_firstlens[ toi.lensegroup_reduced_firstlens.length-1 ] ){
toi.lensegroup_reduced_firstlens.push(ORDERLENSEGROUPID.indexOf(lenses[jlens].group));
}
else if (jlens < lenses.length && ORDERLENSEGROUPID.indexOf(lenses[jlens].group) == toi.lensegroup_reduced_firstlens[ toi.lensegroup_reduced_firstlens.length-1 ] ){
//self-transition
toi.lensegroup_direct_transitions[ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ][ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ] += 1;
toi.lensegroup_indirect_transitions[ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ][ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ] += 1;
toi.lensegroup_triples[ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ][ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ][ ORDERLENSEGROUPID.indexOf(lenses[jlens].group) ] += 1;
}
//KT: below follows the above logic from reduced_firstlens to include AOI transitions to a "non"-AOI, meaning the fixation does not fall into any AOI, verify if this is what we need.
else if(jlens == lenses.length && ORDERLENSEGROUPID.length != toi.lensegroup_reduced_firstlens[ toi.lensegroup_reduced_firstlens.length-1 ])
toi.lensegroup_reduced_firstlens.push(ORDERLENSEGROUPID.length);
if( jlens < lenses.length && lenses.length > 0 && (toi.lensegroup_reduced_firstlens_nonempty.length == 0 ||
ORDERLENSEGROUPID.indexOf(lenses[jlens].group) != toi.lensegroup_reduced_firstlens_nonempty[ toi.lensegroup_reduced_firstlens_nonempty.length - 1]) ){
toi.lensegroup_reduced_firstlens_nonempty.push(ORDERLENSEGROUPID.indexOf(lenses[jlens].group));
}
}
}
// fill direct transitions table
for(j=0; j<toi.reduced_firstlens.length - 1; j++){
toi.direct_transitions[ toi.reduced_firstlens[j] ][ toi.reduced_firstlens[j+1] ] += 1;
}
for(j=0; j<toi.lensegroup_reduced_firstlens.length - 1; j++){
toi.lensegroup_direct_transitions[ toi.lensegroup_reduced_firstlens[j] ][ toi.lensegroup_reduced_firstlens[j+1] ] += 1;
}
// fill indirect transitions table, triples table
for(j=0; j<toi.reduced_firstlens_nonempty.length - 1; j++){
toi.indirect_transitions[ toi.reduced_firstlens_nonempty[j] ][ toi.reduced_firstlens_nonempty[j+1] ] += 1;
if( j < toi.reduced_firstlens_nonempty.length - 2 ){
toi.triples[ toi.reduced_firstlens_nonempty[j] ][ toi.reduced_firstlens_nonempty[j+1] ][ toi.reduced_firstlens_nonempty[j+2] ] += 1;
}
}
for(j=0; j<toi.lensegroup_reduced_firstlens_nonempty.length - 1; j++){
toi.lensegroup_indirect_transitions[ toi.lensegroup_reduced_firstlens_nonempty[j] ][ toi.lensegroup_reduced_firstlens_nonempty[j+1] ] += 1;
if( j < toi.lensegroup_reduced_firstlens_nonempty.length - 2 ){
toi.lensegroup_triples[ toi.lensegroup_reduced_firstlens_nonempty[j] ][ toi.lensegroup_reduced_firstlens_nonempty[j+1] ][ toi.lensegroup_reduced_firstlens_nonempty[j+2] ] += 1;
}
}
// fill grid transitions table
toi.grid_transitions = []; toi.grid_density = [];
for(i=0; i<GRID_N**2; i++){ toi.grid_density.push(0); toi.grid_transitions.push([]); for(j=0; j<GRID_N**2; j++){ toi.grid_transitions[i].push(0); } }
for(j=0; j<fixs.length && fixs[j].t < tmax; j++){
if( fixs[j].t > tmin ){
vx1 = Math.floor( (fixs[j].x * GRID_N)/WIDTH );
vy1 = Math.floor( (fixs[j].y * GRID_N)/HEIGHT );
toi.grid_density[ vx1 * GRID_N + vy1 ] += fixs[j].dt;
if( j < fixs.length - 1 && fixs[j+1].t < tmax ){
vx2 = Math.floor( (fixs[j+1].x * GRID_N)/WIDTH );
vy2 = Math.floor( (fixs[j+1].y * GRID_N)/HEIGHT );
if( vx1 != vx2 || vy1 != vy2){ toi.grid_transitions[ vx1 * GRID_N + vy1 ][ vx2 * GRID_N + vy2 ] += fixs[j].dt; }
}
}
}
}
//pairwise comparisons across more than one sample (DAT) and one or more than one TWI (TOI)
//similarity data
DAT_DATA_BY_TWI_MODE = [];
GRP_DATA_BY_TWI_MODE = [];
TWI_DATA_BY_DAT_MODE = [];
TWIGROUP_DATA_BY_DAT_MODE = [];
//similarity value
DAT_COMPARE = [];
TOI_COMPARE = [];
TWI_GROUP_COMPARE = [];
DAT_TOI_COMPARE = [];
DAT_TWIGROUP_COMPARE = [];
twi_group_data = [];
twi_data = [];
let populate_dat_by_twi_mode = () => {
//First, populate metrics for DAT_DATA_BY_TWI_MODE
for(let val=0; val<VALUED.length; val++){
let data = DATASETS[ VALUED[val] ];
if(TWI_MODE == 2 && selected_twi != -1 && data.tois[data.toi_id] != undefined && data.tois[data.toi_id].included) {
let twi_id = data.tois[data.toi_id].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked)
DAT_DATA_BY_TWI_MODE[val] = data.tois[data.toi_id];
}else {
DAT_DATA_BY_TWI_MODE[val] = similarity_metrics_factory(DAT_DATA_BY_TWI_MODE[val]);
aggregate_metrics_data_across_twi(DAT_DATA_BY_TWI_MODE[val], data, false, false, VALUED[val]);
}
}
};
let populate_twi_by_dat_mode = () => {
//Second, populate metrics for TWI_DATA_BY_DAT_MODE
for(let a=0; a<order_twis.length; a++){
if(DAT_MODE == 2 && VALUED.indexOf(selected_data) != -1 && DATASETS[selected_data] != undefined) {
let data = DATASETS[selected_data];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
TWI_DATA_BY_DAT_MODE[a] = data.tois[toi_id_a];
}else if(DAT_MODE == 1 && ORDERGROUPID.indexOf(selected_grp) != -1){
TWI_DATA_BY_DAT_MODE[a] = similarity_metrics_factory(TWI_DATA_BY_DAT_MODE[a]);
for(let val=0; val<VALUED.length; val++){
if(DATASETS[VALUED[val]].group == selected_grp){
let data = DATASETS[val];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
aggregate_similarity_metrics(TWI_DATA_BY_DAT_MODE[a], data.tois[toi_id_a], val, toi_id_a);
}
}
}else if(DAT_MODE == 0){
TWI_DATA_BY_DAT_MODE[a] = similarity_metrics_factory(TWI_DATA_BY_DAT_MODE[a]);
for(let val=0; val<VALUED.length; val++){
let data = DATASETS[val];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
aggregate_similarity_metrics(TWI_DATA_BY_DAT_MODE[a], data.tois[toi_id_a], val, toi_id_a);
}
}
}
};
let populate_twigroup_by_dat_mode = () => {
//Third, populate metrics for TWIGROUP_DATA_BY_DAT_MODE
for(let a=0; a<ORDERTWIGROUPIDARRAYINDEX.length; a++){
if(DAT_MODE == 2 && VALUED.indexOf(selected_data) != -1 && DATASETS[selected_data] != undefined) {
let data = DATASETS[selected_data];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
TWIGROUP_DATA_BY_DAT_MODE[a] = data.tois[toi_id_a];
}else if(DAT_MODE == 1 && ORDERGROUPID.indexOf(selected_grp) != -1){
TWIGROUP_DATA_BY_DAT_MODE[a] = similarity_metrics_factory(TWIGROUP_DATA_BY_DAT_MODE[a]);
for(let val=0; val<VALUED.length; val++){
if(DATASETS[VALUED[val]].group == selected_grp){
let data = DATASETS[val];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
aggregate_similarity_metrics(TWIGROUP_DATA_BY_DAT_MODE[a], data.tois[toi_id_a], val, toi_id_a);
}
}
}else if(DAT_MODE == 0){
TWIGROUP_DATA_BY_DAT_MODE[a] = similarity_metrics_factory(TWIGROUP_DATA_BY_DAT_MODE[a]);
for(let val=0; val<VALUED.length; val++){
let data = DATASETS[val];
let twis = data.tois.map(x=>x.twi_id);
let toi_id_a = twis.indexOf(order_twis[a]);
aggregate_similarity_metrics(TWIGROUP_DATA_BY_DAT_MODE[a], data.tois[toi_id_a], val, toi_id_a);
}
}
}
};
function compute_all_metrics(){
//compute lense groupings
compute_lensegroupings();
//compute twi groupings
compute_twigroupings();
// compute the firstlens for each fixation
for(let value=0; value<VALUED.length; value++){
let val = VALUED[value];
compute_data_firstlens(val);
for(let c=0; c<DATASETS[val].tois.length; c++){
if (DATASETS[val].tois[c] != undefined && DATASETS[val].tois[c].included)
compute_toi_metrics(val, c);
}
}
//similarity data
DAT_DATA_BY_TWI_MODE = [];
GRP_DATA_BY_TWI_MODE = [];
TWI_DATA_BY_DAT_MODE = [];
TWIGROUP_DATA_BY_DAT_MODE = [];
//similarity value
DAT_COMPARE = [];
TOI_COMPARE = [];
TWI_GROUP_COMPARE = [];
DAT_TOI_COMPARE = [];
DAT_TWIGROUP_COMPARE = [];
if(MATRIX_VIEW_STATE == "twigroup_twigroup") {
populate_twigroup_by_dat_mode();
TWI_GROUP_COMPARE = [];
for(let a=0; a<ORDERTWIGROUPIDARRAYINDEX.length; a++){ TWI_GROUP_COMPARE.push([]); for(b=0; b<ORDERTWIGROUPIDARRAYINDEX.length; b++){ TWI_GROUP_COMPARE[a].push(1); } }
for(a=0; a<ORDERTWIGROUPIDARRAYINDEX.length-1; a++){
for(b=a+1; b<ORDERTWIGROUPIDARRAYINDEX.length; b++){
let r = compute_compare( TWIGROUP_DATA_BY_DAT_MODE[a], TWIGROUP_DATA_BY_DAT_MODE[b]);
TWI_GROUP_COMPARE[a][b] = r; TWI_GROUP_COMPARE[b][a] = r;
}
}
}
else if(MATRIX_VIEW_STATE == "toi_toi") {
populate_twi_by_dat_mode();
TOI_COMPARE = [];
for(let a=0; a<order_twis.length; a++){
TOI_COMPARE.push([]); for(b=0; b<order_twis.length; b++){ TOI_COMPARE[a].push(1); }
}
for(a=0; a<order_twis.length-1; a++){
for(b=a+1; b<order_twis.length; b++){
let r = compute_compare( TWI_DATA_BY_DAT_MODE[a], TWI_DATA_BY_DAT_MODE[b]);
TOI_COMPARE[a][b] = r; TOI_COMPARE[b][a] = r;
}
}
}
else if(MATRIX_VIEW_STATE == "dat_toi" || MATRIX_VIEW_STATE == "toi_dat"){
populate_twi_by_dat_mode();
populate_dat_by_twi_mode();
//populate DAT_TOI table
DAT_TOI_COMPARE = [];
for(let a=0; a<order_twis.length; a++){
DAT_TOI_COMPARE.push([]);
for(let b=0; b<VALUED.length; b++){
DAT_TOI_COMPARE[a].push( compute_compare( TWI_DATA_BY_DAT_MODE[a], DAT_DATA_BY_TWI_MODE[b]) );
}
}
}
else if(MATRIX_VIEW_STATE == "dat_twigroup" || MATRIX_VIEW_STATE == "twigroup_dat") {
populate_dat_by_twi_mode();
populate_twigroup_by_dat_mode();
//populate DAT_TWIGROUP table
DAT_TWIGROUP_COMPARE = [];
for(let a=0; a<ORDERTWIGROUPIDARRAYINDEX.length; a++){
DAT_TWIGROUP_COMPARE.push([]);
for(let b=0; b<VALUED.length; b++){
DAT_TWIGROUP_COMPARE[a].push( compute_compare( TWIGROUP_DATA_BY_DAT_MODE[a], DAT_DATA_BY_TWI_MODE[b]) );
}
}
}
else if(MATRIX_VIEW_STATE == "dat_dat") {
populate_dat_by_twi_mode();
// calc trans consine similarity
DAT_COMPARE = [];
for(a=0; a<VALUED.length; a++){
DAT_COMPARE.push([]);
for(b=0; b<VALUED.length; b++){ DAT_COMPARE[a].push(1);}
}
for(a=0; a<VALUED.length-1; a++){
for(b=a+1; b<VALUED.length; b++){
r = compute_compare( DAT_DATA_BY_TWI_MODE[a], DAT_DATA_BY_TWI_MODE[b] );
DAT_COMPARE[a][b] = r; DAT_COMPARE[b][a] = r;
}
}
}
else if(MATRIX_VIEW_STATE == "grp_dat" || MATRIX_VIEW_STATE == "dat_grp" )
populate_dat_by_twi_mode();
else if(MATRIX_VIEW_STATE == "grp_toi" || MATRIX_VIEW_STATE == "toi_grp" )
populate_twi_by_dat_mode();
else if(MATRIX_VIEW_STATE == "grp_twigroup" || MATRIX_VIEW_STATE == "twigrouop_grp" )
populate_twigroup_by_dat_mode();
// compute the group values and measures
compute_groupings(); update_legend = true; timeline_changed = true;
}
let aggregate_aoi_data_across_twi = (aoi_data, data) => {
let dat = null;
if(TWI_MODE == 2 && selected_twi != -1 && data.tois[data.toi_id] != undefined && data.tois[data.toi_id].included) {
for(var l=0; l<lenses.length; l++){
let twi_id = data.tois[data.toi_id].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked)
aoi_data.visit_durations[l] = aoi_data.visit_durations[l].concat( data.tois[ data.toi_id ].visit_durations[l] );
aoi_data.visit_totals[l] += data.tois[ data.toi_id ].visit_totals[l];
}
for(var l=0; l<LENSEGROUPS.length; l++){
let twi_id = data.tois[data.toi_id].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked)
aoi_data.lensegroup_visit_durations[l] = aoi_data.lensegroup_visit_durations[l].concat( data.tois[ data.toi_id ].lensegroup_visit_durations[l] );
aoi_data.lensegroup_visit_totals[l] += data.tois[ data.toi_id ].lensegroup_visit_totals[l];
}
let twi_id = data.tois[data.toi_id].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked)
aggregate_aoi_transition_metrics(aoi_data, data.tois[ data.toi_id ]);
}else if(TWI_MODE == 1 && selected_twigroup != -1){
for(var l=0; l<lenses.length; l++){
//sum up metrics aoi_data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].group == selected_twigroup && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aoi_data.visit_durations[l] = aoi_data.visit_durations[l].concat( data.tois[ c ].visit_durations[l] );
aoi_data.visit_totals[l] += data.tois[ c ].visit_totals[l];
}
}
}
for(var l=0; l<LENSEGROUPS.length; l++){
//sum up metrics aoi_data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].group == selected_twigroup && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aoi_data.lensegroup_visit_durations[l] = aoi_data.lensegroup_visit_durations[l].concat( data.tois[ c ].lensegroup_visit_durations[l] );
aoi_data.lensegroup_visit_totals[l] += data.tois[ c ].lensegroup_visit_totals[l];
}
}
}
//sum up metrics data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].group == selected_twigroup && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aggregate_aoi_transition_metrics(aoi_data, data.tois[ c ]);
}
}
}else if(TWI_MODE == 0){
for(var l=0; l<lenses.length; l++){
//sum up metrics aoi_data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aoi_data.visit_durations[l] = aoi_data.visit_durations[l].concat( data.tois[ c ].visit_durations[l] );
aoi_data.visit_totals[l] += data.tois[ c ].visit_totals[l];
}
}
}
for(var l=0; l<LENSEGROUPS.length; l++){
//sum up metrics aoi_data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aoi_data.lensegroup_visit_durations[l] = aoi_data.lensegroup_visit_durations[l].concat( data.tois[ c ].lensegroup_visit_durations[l] );
aoi_data.lensegroup_visit_totals[l] += data.tois[ c ].lensegroup_visit_totals[l];
}
}
}
//sum up metrics data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
if(data.tois[c].included && twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aggregate_aoi_transition_metrics(aoi_data, data.tois[ c ]);
}
}
}
};
let aggregate_aoi_transition_metrics = (aoi_data, toi) => {
//add each measure to its relavant parent
aoi_data.totalcount += toi.totalcount; aoi_data.totaltime += toi.totaltime;
aoi_data.total_saccadelength += toi.total_saccadelength;
aoi_data.number_saccades += toi.number_saccades;
//concatenate lenstimes list
// aoi measures
for(l1=0;l1<=lenses.length;l1++){
aoi_data.lenscount[l1] += toi.lenscount[l1]; aoi_data.lenstime[l1] += toi.lenstime[l1];
for(l2=0;l2<=lenses.length;l2++){
if(toi.direct_transitions == undefined) continue;
if(toi.direct_transitions[l1][l2] != undefined)
aoi_data.direct_transitions[l1][l2] += toi.direct_transitions[l1][l2];
aoi_data.indirect_transitions[l1][l2] += toi.indirect_transitions[l1][l2];
for(l3=0;l3<=lenses.length;l3++){
if(toi.triples[l1][l2] == undefined)
console.log("toi: "+base_twis[toi.twi_id].name+", toi.triples: "+toi.triples+", toi.triples["+l1+"]["+l2+"], aoi_data.triples[l1][l2]: "+aoi_data.triples[l1][l2]);
else
aoi_data.triples[l1][l2][l3] += toi.triples[l1][l2][l3];
}
}
}
for(l1=0;l1<=LENSEGROUPS.length;l1++){
aoi_data.lensegroup_lenscount[l1] += toi.lensegroup_lenscount[l1]; aoi_data.lensegroup_lenstime[l1] += toi.lensegroup_lenstime[l1];
for(l2=0;l2<=LENSEGROUPS.length;l2++){
if(toi.lensegroup_direct_transitions == undefined) continue;
aoi_data.lensegroup_direct_transitions[l1][l2] += toi.lensegroup_direct_transitions[l1][l2];
aoi_data.lensegroup_indirect_transitions[l1][l2] += toi.lensegroup_indirect_transitions[l1][l2];
for(l3=0;l3<=LENSEGROUPS.length;l3++){
if(toi.lensegroup_triples[l1][l2] != undefined)
aoi_data.lensegroup_triples[l1][l2][l3] += toi.lensegroup_triples[l1][l2][l3];
}
}
}
// grid measures
for(l1=0; l1<GRID_N**2;l1++){
if(toi.grid_density == undefined) continue;
aoi_data.grid_density[l1] += toi.grid_density[l1];
for(l2=0; l2<GRID_N**2;l2++){
aoi_data.grid_transitions[l1][l2] += toi.grid_transitions[l1][l2];
}
}
};
let aggregate_metrics_data_across_twi = (twi_group_data, data, is_twi_group_array, is_twi_array, data_id) => {
if(is_twi_group_array) {
//sum up metrics data from individual toi
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
let order_twis_index = order_twis.indexOf(twi_id);
let order_twis_group_index = ORDERTWIGROUPID.indexOf(base_twis[twi_id].group);
if(order_twis_index != -1 && base_twis[twi_id].included && base_twis[twi_id].checked &&
order_twis_group_index > -1) {
//add to the corresponding twi_group_data based on twi_id group
//concatenate lenstimes list
// aoi measures
aggregate_similarity_metrics(twi_group_data[order_twis_group_index], data.tois[c], data_id, c);
}
}
}
else if(is_twi_array) {
for(let c=0; c<data.tois.length; c++) {
let twi_id = data.tois[c].twi_id;
let order_twis_index = order_twis.indexOf(twi_id);
if(twi_id < base_twis.length && order_twis_index != -1 && base_twis[twi_id].included && base_twis[twi_id].checked) {
aggregate_similarity_metrics(twi_data[order_twis_index], data.tois[c], data_id, c);
}
}
}
else if(TWI_MODE == 1 && selected_twigroup != -1){
for(let i=0; i < data.tois.length; i++) {
let twi_id = data.tois[i].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].group == selected_twigroup && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aggregate_similarity_metrics(twi_group_data, data.tois[i], data_id, i);
}
}
}
else if(TWI_MODE == 0){
for(let i=0; i < data.tois.length; i++) {
let twi_id = data.tois[i].twi_id;
if(twi_id < base_twis.length && base_twis[twi_id].included && base_twis[twi_id].checked ) {
aggregate_similarity_metrics(twi_group_data, data.tois[i], data_id, i);
}
}
}
};
let aggregate_similarity_metrics = (twi_group_data, toidata, data_id, toi_id) => {
if(toidata == undefined || !toidata.included) return;
//sum up metrics data from individual toi
twi_group_data.totaltime += toidata.totaltime;
twi_group_data.firstlens = twi_group_data.firstlens.concat(toidata.firstlens);
twi_group_data.firstlensegroup = twi_group_data.firstlensegroup.concat(toidata.firstlensegroup);
for(l1=0;l1<=lenses.length;l1++){
twi_group_data.lenstime[l1] += toidata.lenstime[l1];
for(l2=0;l2<=lenses.length;l2++){
if(toidata.direct_transitions == undefined) continue;
twi_group_data.direct_transitions[l1][l2] += toidata.direct_transitions[l1][l2];
}
}
// grid measures
for(l1=0; l1<GRID_N**2;l1++){
if(toidata.grid_density == undefined) continue;
twi_group_data.grid_density[l1] += toidata.grid_density[l1];
for(l2=0; l2<GRID_N**2;l2++){
if(toidata.grid_transitions == undefined) continue;
twi_group_data.grid_transitions[l1][l2] += toidata.grid_transitions[l1][l2];
}
}
//topography
if( toidata.values == undefined ){ give_topography( data_id, toi_id ); } // gives a topography if we don't have one
for(i = 0; i <= X_NUM; i++ ){
for(j = 0; j <= Y_NUM; j++){
twi_group_data.initial [i][j] += toidata.initial[i][j];
}
}
twi_group_data.values = apply_shaping(twi_group_data.initial);
twi_group_data.max_value = 0; twi_group_data.total_value = 0;
for(i = 0; i <= X_NUM; i++ ){
for(j = 0; j <= Y_NUM; j++){
twi_group_data.total_value += twi_group_data.values[i][j];
twi_group_data.max_value = Math.max(twi_group_data.max_value, twi_group_data.values[i][j]);
}
}
}
let aoi_metrics_factory = () => {
let data = {};
// set up the metrics spaces with zeroes, and them composite by iterating over its dependents
// constants
data.totalcount = 0; data.totaltime = 0;
data.total_saccadelength = 0; data.number_saccades = 0;
// lens membership
data.lenscount = []; data.lenstime=[];
data.lensmedian = []; data.lensegroup_lensmedian = [];
data.lensegroup_lenscount = []; data.lensegroup_lenstime = [];
// aoi transitions (direct, indirect, triples)
data.direct_transitions = []; data.indirect_transitions = []; data.triples = [];
data.lensegroup_direct_transitions = []; data.lensegroup_indirect_transitions = []; data.lensegroup_triples = [];
for(l1=0;l1<=lenses.length;l1++){
data.lenscount.push(0); data.lenstime.push(0); data.lensmedian.push(0);
data.direct_transitions.push([]); data.indirect_transitions.push([]); data.triples.push([]);
for(l2=0;l2<=lenses.length;l2++){
data.direct_transitions[l1].push(0); data.indirect_transitions[l1].push(0); data.triples[l1].push([]);
for(l3=0;l3<=lenses.length;l3++){
data.triples[l1][l2].push(0);
}
}
}
for(l1=0;l1<=LENSEGROUPS.length;l1++){
data.lensegroup_lenscount.push(0); data.lensegroup_lenstime.push(0); data.lensegroup_lensmedian.push(0);
data.lensegroup_direct_transitions.push([]); data.lensegroup_indirect_transitions.push([]); data.lensegroup_triples.push([]);
for(l2=0;l2<=LENSEGROUPS.length;l2++){
data.lensegroup_direct_transitions[l1].push(0); data.lensegroup_indirect_transitions[l1].push(0); data.lensegroup_triples[l1].push([]);
for(l3=0;l3<=LENSEGROUPS.length;l3++){
data.lensegroup_triples[l1][l2].push(0);
}
}
}
// visit metrics
data.visit_durations = []; data.visit_totals = [];
for(var l=0; l<lenses.length; l++){ data.visit_durations.push([]); data.visit_totals.push(0); }
data.lensegroup_visit_durations = []; data.lensegroup_visit_totals = [];
for(var l=0; l<LENSEGROUPS.length; l++){ data.lensegroup_visit_durations.push([]); data.lensegroup_visit_totals.push(0); }
// grid metrics
data.grid_density = []; data.grid_transitions = [];
for(l1=0; l1<GRID_N**2;l1++){
data.grid_density.push(0);
data.grid_transitions.push([]);
for(l2=0; l2<GRID_N**2;l2++){
data.grid_transitions[l1].push(0);
}
}
// give it a pseudo-topography
data.initial = [];
for(i = 0; i <= X_NUM; i++ ){
data.initial.push([]);
for(j = 0; j <= Y_NUM; j++){
data.initial[i].push(0.0);
}
}
return data;
};
let similarity_metrics_factory = (singletondata) => {
if(singletondata != null && singletondata != undefined) {
reset_metrics_data(singletondata);
return singletondata;
}
singletondata = {};
// constants
singletondata.totaltime = 0;
singletondata.lenstime=[];
singletondata.firstlens=[];
singletondata.firstlensegroup=[];
// aoi transitions (direct, indirect, triples)
singletondata.direct_transitions = [];
for(l1=0;l1<=lenses.length;l1++){
singletondata.lenstime.push(0);
singletondata.direct_transitions.push([]);
for(l2=0;l2<=lenses.length;l2++){
singletondata.direct_transitions[l1].push(0);
}
}
// grid metrics
singletondata.grid_density = []; singletondata.grid_transitions = [];
for(l1=0; l1<GRID_N**2;l1++){
singletondata.grid_density.push(0);
singletondata.grid_transitions.push([]);
for(l2=0; l2<GRID_N**2;l2++){
singletondata.grid_transitions[l1].push(0);
}
}
// give it a pseudo-topography
singletondata.initial = [];
for(i = 0; i <= X_NUM; i++ ){
singletondata.initial.push([]);
for(j = 0; j <= Y_NUM; j++){
singletondata.initial[i].push(0.0);
}
}
//topography
singletondata.values = [];
singletondata.total_value = 0.0;
for(var i = 0; i <= X_NUM; i++ ){
singletondata.values.push([]);
for(var j = 0; j <= Y_NUM; j++){
singletondata.values[i].push(0.0);
}
}
return singletondata;
};
let reset_metrics_data = (data) => {
// constants
data.totaltime = 0;
data.lenstime.splice(0, data.lenstime.length);
data.firstlens.splice(0, data.firstlens.length);
data.firstlensegroup.splice(0, data.firstlensegroup.length);
// aoi transitions (direct, indirect, triples)
data.direct_transitions.splice(0, data.direct_transitions.length);
for(l1=0;l1<=lenses.length;l1++){
data.lenstime.push(0);
data.direct_transitions.push([]);
for(l2=0;l2<=lenses.length;l2++){
data.direct_transitions[l1].push(0);
}
}
// grid metrics
data.grid_density.splice(0, data.grid_density.length); data.grid_transitions.splice(0, data.grid_transitions.length);
for(l1=0; l1<GRID_N**2;l1++){