chartnew.js
Version:
Simple HTML5 Charts using the canvas element
879 lines (862 loc) • 44.5 kB
JavaScript
function stats(data, config) {
data.stats = {};
if (typeof data.datasets == 'undefined') { // Pie structure;
PSbasic(data);
} else { // line structure;
LSbasic(data);
Linear_Regression(data);
}
replace_stats(data, config);
return;
};
function isStat(val) {
if (typeof val == "string") {
if (val.indexOf("#") >= 0) return true;
}
return false;
};
function Linear_Regression(data) {
// compute Means - source of algorithm : http://fr.wikipedia.org/wiki/R%C3%A9gression_lin%C3%A9aire
data.stats.linear_regression_count_xPos = 0;
data.stats.linear_regression_sum_xPos = 0;
data.stats.linear_regression_sum_data = 0;
for (var i = 0; i < data.datasets.length; i++) {
if (!(typeof data.datasets[i].xPos == "undefined")) {
data.datasets[i].stats.linear_regression_sum_xPos = 0;
data.datasets[i].stats.linear_regression_sum_data = 0;
data.datasets[i].stats.linear_regression_count_xPos = 0;
data.datasets[i].stats.count_data = 0;
for (var j = 0; j < data.datasets[i].data.length; j++) {
if (!(typeof data.datasets[i].data[j] == "undefined") && !(typeof data.datasets[i].xPos[j] == "undefined")) {
data.stats.linear_regression_count_xPos++;
data.stats.linear_regression_sum_xPos += data.datasets[i].xPos[j];
data.stats.linear_regression_sum_data += data.datasets[i].data[j];
data.datasets[i].stats.linear_regression_count_xPos++;
data.datasets[i].stats.linear_regression_sum_xPos += data.datasets[i].xPos[j];
data.datasets[i].stats.linear_regression_sum_data += data.datasets[i].data[j];
}
}
if (data.datasets[i].stats.linear_regression_count_xPos > 0) {
data.datasets[i].stats.linear_regression_mean_xPos = data.datasets[i].stats.linear_regression_sum_xPos / data.datasets[i].stats.linear_regression_count_xPos;
data.datasets[i].stats.linear_regression_mean_data = data.datasets[i].stats.linear_regression_sum_data / data.datasets[i].stats.linear_regression_count_xPos;
}
}
}
// mean;
if (data.stats.linear_regression_count_xPos > 0) {
data.stats.linear_regression_mean_xPos = data.stats.linear_regression_sum_xPos / data.stats.linear_regression_count_xPos;
data.stats.linear_regression_mean_data = data.stats.linear_regression_sum_data / data.stats.linear_regression_count_xPos;
}
// Covariance - variance;
data.stats.linear_regression_covariance = 0;
data.stats.linear_regression_variance = 0;
for (var i = 0; i < data.datasets.length; i++) {
if (!(typeof data.datasets[i].xPos == "undefined")) {
data.datasets[i].stats.linear_regression_covariance = 0;
data.datasets[i].stats.linear_regression_variance = 0;
for (var j = 0; j < data.datasets[i].data.length; j++) {
if (!(typeof data.datasets[i].data[j] == "undefined") && !(typeof data.datasets[i].xPos[j] == "undefined")) {
data.stats.linear_regression_covariance += (data.datasets[i].xPos[j] - data.stats.linear_regression_mean_xPos) * (data.datasets[i].data[j] - data.stats.linear_regression_mean_data);
data.stats.linear_regression_variance += (data.datasets[i].xPos[j] - data.stats.linear_regression_mean_xPos) * (data.datasets[i].xPos[j] - data.stats.linear_regression_mean_xPos);
data.datasets[i].stats.linear_regression_covariance += (data.datasets[i].xPos[j] - data.datasets[i].stats.linear_regression_mean_xPos) * (data.datasets[i].data[j] - data.datasets[i].stats.linear_regression_mean_data);
data.datasets[i].stats.linear_regression_variance += (data.datasets[i].xPos[j] - data.datasets[i].stats.linear_regression_mean_xPos) * (data.datasets[i].xPos[j] - data.datasets[i].stats.linear_regression_mean_xPos);
}
}
if (data.datasets[i].stats.linear_regression_count_xPos > 0) {
data.datasets[i].stats.linear_regression_covariance /= data.datasets[i].stats.linear_regression_count_xPos;
data.datasets[i].stats.linear_regression_variance /= data.datasets[i].stats.linear_regression_count_xPos;
data.datasets[i].stats.linear_regression_b1 = data.datasets[i].stats.linear_regression_covariance / data.datasets[i].stats.linear_regression_variance;
data.datasets[i].stats.linear_regression_b0 = data.datasets[i].stats.linear_regression_mean_data - data.datasets[i].stats.linear_regression_b1 * data.datasets[i].stats.linear_regression_mean_xPos;
}
}
}
// b1 - b0;
if (data.stats.linear_regression_count_xPos > 0) {
data.stats.linear_regression_covariance /= data.stats.linear_regression_count_xPos;
data.stats.linear_regression_variance /= data.stats.linear_regression_count_xPos;
data.stats.linear_regression_b1 = data.stats.linear_regression_covariance / data.stats.linear_regression_variance;
data.stats.linear_regression_b0 = data.stats.linear_regression_mean_data - data.stats.linear_regression_b1 * data.stats.linear_regression_mean_xPos;
}
}
function PSbasic(data) {
data.stats.sum = 0;
data.stats.count_all = 0;
data.stats.count_missing = 0;
data.stats.count_not_missing = 0;
data.stats.mean = undefined;
data.stats.sum_square_diff_mean = 0;
data.stats.standard_deviation = undefined;
data.stats.standard_deviation_estimation = undefined;
data.stats.student_t_test = undefined;
data.stats.coefficient_variation = undefined;
data.stats.data_with_stats = false;
for (var i = 0; i < data["length"]; i++) {
if (!isStat(data[i].value)) {
(data.stats.count_all) ++;
} else data.stats.data_with_stats = true;
if (typeof data[i].value == "undefined") {
(data.stats.count_missing) ++;
} else if (isStat(data[i].value)) {} else {
(data.stats.count_not_missing) ++;
(data.stats.sum) += 1 * data[i].value;
}
}
if (data.stats.count_not_missing > 0) {
data.stats.mean = data.stats.sum / data.stats.count_not_missing;
}
// sum of (val-mean)2;
// sum of (val-mean)3;
data.stats.sum_square_diff_mean = 0;
data.stats.sum_pow3_diff_mean = 0;
data.stats.sum_pow4_diff_mean = 0;
for (var i = 0; i < data["length"]; i++) {
if (typeof data[i].value != "undefined" && !isStat(data[i].value)) {
data.stats.sum_square_diff_mean += Math.pow(data[i].value - data.stats.mean, 2);
data.stats.sum_pow3_diff_mean += Math.pow(data[i].value - data.stats.mean, 3);
data.stats.sum_pow4_diff_mean += Math.pow(data[i].value - data.stats.mean, 4);
}
}
// standard deviation;
if (data.stats.count_not_missing > 0) {
data.stats.variance = data.stats.sum_square_diff_mean / data.stats.count_not_missing;
data.stats.standard_deviation = Math.sqrt(data.stats.sum_square_diff_mean / data.stats.count_not_missing);
data.stats.standard_error_mean = Math.sqrt(data.stats.sum_square_diff_mean) / data.stats.count_not_missing;
}
// standard deviation estimation;
if (data.stats.count_not_missing > 1) {
data.stats.standard_deviation_estimation = Math.sqrt(data.stats.sum_square_diff_mean / (data.stats.count_not_missing - 1));
if (data.stats.mean > 0) data.stats.coefficient_variation = 100 * data.stats.standard_deviation_estimation / data.stats.mean;
if (data.stats.standard_deviation_estimation > 0) data.stats.student_t_test = data.stats.mean / (data.stats.standard_deviation_estimation / Math.sqrt(data.stats.count_not_missing));
// console.log(data.stats.mean);
// console.log(data.stats.standard_deviation_estimation);
// console.log(data.stats.count_not_missing);
}
// skewness;
if (data.stats.count_not_missing > 2) {
data.stats.skewness = (data.stats.count_not_missing * data.stats.sum_pow3_diff_mean) / (Math.pow(data.stats.standard_deviation_estimation, 3) * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 2));
} else {
data.stats.skewness = undefined;
}
// kutosis;
if (data.stats.count_not_missing > 3) {
data.stats.kurtosis = (data.stats.count_not_missing * (data.stats.count_not_missing + 1) * data.stats.sum_pow4_diff_mean) / (Math.pow(data.stats.standard_deviation_estimation, 4) * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 2) * (data.stats.count_not_missing - 3)) - 3 * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 1) / ((data.stats.count_not_missing - 2) * (data.stats.count_not_missing - 3));
} else {
data.stats.kurtosis = undefined;
}
// ordering stats;
var orderStat = new Array();
cnt = 0;
for (i = 0; i < data.length; i++) {
if (typeof data[i].value != "undefined" && !isStat(data[i].value)) {
orderStat[cnt] = {
val: 1 * data[i].value,
one: 1
};
cnt++;
}
}
var setStat = new Array();
setStat = Pstats(orderStat, "one");
for (i = 0; i < setStat.length; i++) {
data.stats.minimum = setStat[i].res.minimum;
data.stats.minimumpi = setStat[i].res.minimumpi;
data.stats.minimumpj = setStat[i].res.minimumpj;
data.stats.maximum = setStat[i].res.maximum;
data.stats.maximumpi = setStat[i].res.maximumpi;
data.stats.maximumpj = setStat[i].res.maximumpj;
data.stats.Q0 = setStat[i].res.Q0;
data.stats.Q1 = setStat[i].res.Q1;
data.stats.Q5 = setStat[i].res.Q5;
data.stats.Q10 = setStat[i].res.Q10;
data.stats.Q25 = setStat[i].res.Q25;
data.stats.Q50 = setStat[i].res.Q50;
data.stats.Q75 = setStat[i].res.Q75;
data.stats.Q90 = setStat[i].res.Q90;
data.stats.Q95 = setStat[i].res.Q95;
data.stats.Q99 = setStat[i].res.Q99;
data.stats.Q100 = setStat[i].res.Q100;
data.stats.median = setStat[i].res.median;
data.stats.interquartile_range = data.stats.Q75 - data.stats.Q25;
}
};
function LSbasic(data) {
data.stats.sum = 0;
data.stats.count_all = 0;
data.stats.count_missing = 0;
data.stats.count_not_missing = 0;
data.stats.mean = undefined;
data.stats.sum_square_diff_mean = 0;
data.stats.sum_pow3_diff_mean = 0;
data.stats.sum_pow4_diff_mean = 0;
data.stats.standard_deviation = undefined;
data.stats.standard_deviation_estimation = undefined;
data.stats.student_t_test = undefined;
data.stats.coefficient_variation = undefined;
data.stats.data_with_stats = false;
data.stats.data_minimum = {};
data.stats.data_maximum = {};
data.stats.data_minimumpi = {};
data.stats.data_maximumpi = {};
data.stats.data_minimumpj = {};
data.stats.data_maximumpj = {};
data.stats.data_Q0 = {};
data.stats.data_Q1 = {};
data.stats.data_Q5 = {};
data.stats.data_Q10 = {};
data.stats.data_Q25 = {};
data.stats.data_Q50 = {};
data.stats.data_Q75 = {};
data.stats.data_Q90 = {};
data.stats.data_Q95 = {};
data.stats.data_Q99 = {};
data.stats.data_Q100 = {};
data.stats.data_median = {};
data.stats.data_sum = {};
data.stats.data_count_all = {};
data.stats.data_count_missing = {};
data.stats.data_count_not_missing = {};
data.stats.data_mean = {};
data.stats.data_sum_square_diff_mean = {};
data.stats.data_sum_pow3_diff_mean = {};
data.stats.data_sum_pow4_diff_mean = {};
data.stats.data_variance = {};
data.stats.data_standard_deviation = {};
data.stats.data_standard_error_mean = {};
data.stats.data_standard_deviation_estimation = {};
data.stats.data_student_t_test = {};
data.stats.data_coefficient_variation = {};
data.stats.data_skewness = {};
data.stats.data_kurtosis = {};
data.stats.data_interquartile_range = {};
data.stats.max_number_data = 0;
data.stats.min_number_data = Number.MAX_VALUE;
for (var i = 0; i < data.datasets["length"]; i++) {
data.datasets[i].stats = {};
data.datasets[i].stats.sum = 0;
data.datasets[i].stats.count_all = 0;
data.datasets[i].stats.count_missing = 0;
data.datasets[i].stats.count_not_missing = 0;
data.datasets[i].stats.mean = undefined;
data.datasets[i].stats.sum_square_diff_mean = 0;
data.datasets[i].stats.sum_pow3_diff_mean = 0;
data.datasets[i].stats.sum_pow4_diff_mean = 0;
data.datasets[i].stats.standard_deviation = undefined;
if (data.datasets[i].data["length"] > data.stats.max_number_data) {
for (var k = data.stats.max_number_data; k < data.datasets[i].data["length"]; k++) {
data.stats.data_sum[k] = 0;
data.stats.data_count_all[k] = 0;
data.stats.data_count_missing[k] = 0;
data.stats.data_count_not_missing[k] = 0;
data.stats.data_mean[k] = undefined;
data.stats.data_sum_square_diff_mean[k] = 0;
data.stats.data_sum_pow3_diff_mean[k] = 0;
data.stats.data_sum_pow4_diff_mean[k] = 0;
data.stats.data_standard_deviation[k] = undefined;
data.stats.data_standard_deviation_estimation[k] = undefined;
data.stats.data_student_t_test[k] = undefined;
data.stats.data_coefficient_variation[k] = undefined;
}
data.stats.max_number_data = data.datasets[i].data["length"];
data.stats.min_number_data = Math.min(data.stats.min_number_data, data.datasets[i].data["length"]);
}
for (var j = 0; j < data.datasets[i].data["length"]; j++) {
if (!isStat(data.datasets[i].data[j])) {
(data.stats.count_all) ++;
(data.datasets[i].stats.count_all) ++;
(data.stats.data_count_all[j]) ++;
} else {
data.stats.data_with_stats = true;
}
if (typeof data.datasets[i].data[j] == "undefined") {
(data.stats.count_missing) ++;
(data.datasets[i].stats.count_missing) ++;
(data.stats.data_count_missing[j]) ++;
} else if (isStat(data.datasets[i].data[j])) {} else {
(data.stats.count_not_missing) ++;
(data.datasets[i].stats.count_not_missing) ++;
(data.stats.data_count_not_missing[j]) ++;
(data.stats.sum) += 1 * data.datasets[i].data[j];
(data.datasets[i].stats.sum) += 1 * data.datasets[i].data[j];
(data.stats.data_sum[j]) += 1 * data.datasets[i].data[j];
}
}
if (data.datasets[i].stats.count_not_missing == 0) {
data.datasets[i].stats.minimum = undefined;
data.datasets[i].stats.minimumpi = undefined;
data.datasets[i].stats.minimumpj = undefined;
data.datasets[i].stats.maximum = undefined;
data.datasets[i].stats.maximumpi = undefined;
data.datasets[i].stats.maximumpj = undefined;
data.datasets[i].stats.sum = undefined;
data.datasets[i].stats.mean = undefined;
} else {
data.datasets[i].stats.mean = data.datasets[i].stats.sum / data.datasets[i].stats.count_not_missing;
}
}
if (data.stats.count_not_missing > 0) {
data.stats.mean = data.stats.sum / data.stats.count_not_missing;
}
for (i = 0; i < data.stats.max_number_data; i++) {
if (data.stats.data_count_not_missing[i] > 0) {
data.stats.data_mean[i] = data.stats.data_sum[i] / data.stats.data_count_not_missing[i];
}
}
// sum of (val-mean)2;
data.stats.sum_square_diff_mean = 0;
data.stats.sum_pow3_diff_mean = 0;
data.stats.sum_pow4_diff_mean = 0;
for (var i = 0; i < data.datasets["length"]; i++) {
data.datasets[i].stats.sum_square_diff_mean = 0;
data.datasets[i].stats.sum_pow3_diff_mean = 0;
data.datasets[i].stats.sum_pow4_diff_mean = 0;
for (var j = 0; j < data.datasets[i].data["length"]; j++) {
if (typeof data.datasets[i].data[j] != "undefined" && !isStat(data.datasets[i].data[j].value)) {
data.stats.sum_square_diff_mean += Math.pow(data.datasets[i].data[j] - data.stats.mean, 2);
data.stats.sum_pow3_diff_mean += Math.pow(data.datasets[i].data[j] - data.stats.mean, 3);
data.stats.sum_pow4_diff_mean += Math.pow(data.datasets[i].data[j] - data.stats.mean, 4);
data.stats.data_sum_square_diff_mean[j] += Math.pow(data.datasets[i].data[j] - data.stats.data_mean[j], 2);
data.stats.data_sum_pow3_diff_mean[j] += Math.pow(data.datasets[i].data[j] - data.stats.data_mean[j], 3);
data.stats.data_sum_pow4_diff_mean[j] += Math.pow(data.datasets[i].data[j] - data.stats.data_mean[j], 4);
data.datasets[i].stats.sum_square_diff_mean += Math.pow(data.datasets[i].data[j] - data.datasets[i].stats.mean, 2);
data.datasets[i].stats.sum_pow3_diff_mean += Math.pow(data.datasets[i].data[j] - data.datasets[i].stats.mean, 3);
data.datasets[i].stats.sum_pow4_diff_mean += Math.pow(data.datasets[i].data[j] - data.datasets[i].stats.mean, 4);
}
}
}
// standard deviation;
if (data.stats.count_not_missing > 0) {
data.stats.variance = data.stats.sum_square_diff_mean / data.stats.count_not_missing;
data.stats.standard_deviation = Math.sqrt(data.stats.sum_square_diff_mean / data.stats.count_not_missing);
data.stats.standard_error_mean = Math.sqrt(data.stats.sum_square_diff_mean) / data.stats.count_not_missing;
}
for (i = 0; i < data.datasets["length"]; i++) {
if (data.datasets[i].stats.count_not_missing > 0) {
data.datasets[i].stats.variance = data.datasets[i].stats.sum_square_diff_mean / data.datasets[i].stats.count_not_missing;
data.datasets[i].stats.standard_deviation = Math.sqrt(data.datasets[i].stats.sum_square_diff_mean / data.datasets[i].stats.count_not_missing);
data.datasets[i].stats.standard_error_mean = Math.sqrt(data.datasets[i].stats.sum_square_diff_mean) / data.datasets[i].stats.count_not_missing;
}
}
for (j = 0; j < data.stats.max_number_data; j++) {
if (data.stats.data_count_not_missing[j] > 0) {
data.stats.data_variance[j] = data.stats.data_sum_square_diff_mean[j] / data.stats.data_count_not_missing[j];
data.stats.data_standard_deviation[j] = Math.sqrt(data.stats.data_sum_square_diff_mean[j] / data.stats.data_count_not_missing[j]);
data.stats.data_standard_error_mean[j] = Math.sqrt(data.stats.data_sum_square_diff_mean[j]) / data.stats.data_count_not_missing[j];
}
}
// standard deviation estimation;
if (data.stats.count_not_missing > 1) {
data.stats.standard_deviation_estimation = Math.sqrt(data.stats.sum_square_diff_mean / (data.stats.count_not_missing - 1));
if (data.stats.mean > 0) data.stats.coefficient_variation = 100 * data.stats.standard_deviation_estimation / data.stats.mean;
if (data.stats.standard_deviation_estimation > 0) data.stats.student_t_test = data.stats.mean / (data.stats.standard_deviation_estimation / Math.sqrt(data.stats.count_not_missing));
}
for (i = 0; i < data.datasets["length"]; i++) {
if (data.datasets[i].stats.count_not_missing > 1) {
data.datasets[i].stats.standard_deviation_estimation = Math.sqrt(data.datasets[i].stats.sum_square_diff_mean / (data.datasets[i].stats.count_not_missing - 1));
if (data.datasets[i].stats.mean > 0) data.datasets[i].stats.coefficient_variation = 100 * data.datasets[i].stats.standard_deviation_estimation / data.datasets[i].stats.mean;
if (data.datasets[i].stats.standard_deviation_estimation > 0) data.datasets[i].stats.student_t_test = data.datasets[i].stats.mean / (data.datasets[i].stats.standard_deviation_estimation / Math.sqrt(data.datasets[i].stats.count_not_missing));
}
}
for (j = 0; j < data.stats.max_number_data; j++) {
if (data.stats.data_count_not_missing[j] > 1) {
data.stats.data_standard_deviation_estimation[j] = Math.sqrt(data.stats.data_sum_square_diff_mean[j] / (data.stats.data_count_not_missing[j] - 1));
if (data.stats.data_mean[j] > 0) data.stats.data_coefficient_variation[j] = 100 * data.stats.data_standard_deviation_estimation[j] / data.stats.data_mean[j];
if (data.stats.data_standard_deviation_estimation[j] > 0) data.stats.data_student_t_test[j] = data.stats.data_mean[j] / (data.stats.data_standard_deviation_estimation[j] / Math.sqrt(data.stats.data_count_not_missing[j]));
}
}
// skewness;
if (data.stats.count_not_missing >= 2) {
data.stats.skewness = (data.stats.count_not_missing * data.stats.sum_pow3_diff_mean) / (Math.pow(data.stats.standard_deviation_estimation, 3) * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 2));
} else {
data.stats.skewness = undefined;
}
// kurtosis;
if (data.stats.count_not_missing >= 3) {
data.stats.kurtosis = (data.stats.count_not_missing * (data.stats.count_not_missing + 1) * data.stats.sum_pow4_diff_mean) / (Math.pow(data.stats.standard_deviation_estimation, 4) * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 2) * (data.stats.count_not_missing - 3)) - 3 * (data.stats.count_not_missing - 1) * (data.stats.count_not_missing - 1) / ((data.stats.count_not_missing - 2) * (data.stats.count_not_missing - 3));
} else {
data.stats.kurtosis = undefined;
}
for (i = 0; i < data.datasets["length"]; i++) {
if (data.datasets[i].stats.count_not_missing >= 2) {
data.datasets[i].stats.skewness = (data.datasets[i].stats.count_not_missing * data.datasets[i].stats.sum_pow3_diff_mean) / (Math.pow(data.datasets[i].stats.standard_deviation_estimation, 3) * (data.datasets[i].stats.count_not_missing - 1) * (data.datasets[i].stats.count_not_missing - 2));
} else {
data.datasets[i].stats.skewness = undefined;
}
if (data.datasets[i].stats.count_not_missing >= 3) {
data.datasets[i].stats.kurtosis = (data.datasets[i].stats.count_not_missing * (data.datasets[i].stats.count_not_missing + 1) * data.datasets[i].stats.sum_pow4_diff_mean) / (Math.pow(data.datasets[i].stats.standard_deviation_estimation, 4) * (data.datasets[i].stats.count_not_missing - 1) * (data.datasets[i].stats.count_not_missing - 2) * (data.datasets[i].stats.count_not_missing - 3)) - 3 * (data.datasets[i].stats.count_not_missing - 1) * (data.datasets[i].stats.count_not_missing - 1) / ((data.datasets[i].stats.count_not_missing - 2) * (data.datasets[i].stats.count_not_missing - 3));
} else {
data.datasets[i].stats.kurtosis = undefined;
}
}
for (j = 0; j < data.stats.max_number_data; j++) {
if (data.stats.data_count_not_missing[j] >= 2) {
data.stats.data_skewness[j] = (data.stats.data_count_not_missing[j] * data.stats.data_sum_pow3_diff_mean[j]) / (Math.pow(data.stats.data_standard_deviation_estimation[j], 3) * (data.stats.data_count_not_missing[j] - 1) * (data.stats.data_count_not_missing[j] - 2));
} else {
data.stats.data_skewness[j] = undefined;
}
if (data.stats.data_count_not_missing[j] >= 3) {
data.stats.data_kurtosis[j] = (data.stats.data_count_not_missing[j] * (data.stats.data_count_not_missing[j] + 1) * data.stats.data_sum_pow4_diff_mean[j]) / (Math.pow(data.stats.data_standard_deviation_estimation[j], 4) * (data.stats.data_count_not_missing[j] - 1) * (data.stats.data_count_not_missing[j] - 2) * (data.stats.data_count_not_missing[j] - 3)) - 3 * (data.stats.data_count_not_missing[j] - 1) * (data.stats.data_count_not_missing[j] - 1) / ((data.stats.data_count_not_missing[j] - 2) * (data.stats.data_count_not_missing[j] - 3));
} else {
data.stats.data_kurtosis[j] = undefined;
}
}
// ordering stats;
var orderStat = new Array();
cnt = 0;
for (i = 0; i < data.datasets["length"]; i++) {
for (j = 0; j < data.datasets[i].data["length"]; j++) {
if (typeof data.datasets[i].data[j] != "undefined" && !isStat(data.datasets[i].data[j].value)) {
orderStat[cnt] = {
val: 1 * data.datasets[i].data[j],
dataset: i,
col: j,
one: 1
};
cnt++;
}
}
}
var setStat = new Array();
setStat = Pstats(orderStat, "one");
for (i = 0; i < setStat.length; i++) {
data.stats.minimum = setStat[i].res.minimum;
data.stats.minimumpi = setStat[i].res.minimumpi;
data.stats.minimumpj = setStat[i].res.minimumpj;
data.stats.maximum = setStat[i].res.maximum;
data.stats.maximumpi = setStat[i].res.maximumpi;
data.stats.maximumpj = setStat[i].res.maximumpj;
data.stats.Q0 = setStat[i].res.Q0;
data.stats.Q1 = setStat[i].res.Q1;
data.stats.Q5 = setStat[i].res.Q5;
data.stats.Q10 = setStat[i].res.Q10;
data.stats.Q25 = setStat[i].res.Q25;
data.stats.Q50 = setStat[i].res.Q50;
data.stats.Q75 = setStat[i].res.Q75;
data.stats.Q90 = setStat[i].res.Q90;
data.stats.Q95 = setStat[i].res.Q95;
data.stats.Q99 = setStat[i].res.Q99;
data.stats.Q100 = setStat[i].res.Q100;
data.stats.median = setStat[i].res.median;
data.stats.interquartile_range = data.stats.Q75 - data.stats.Q25;
}
setStat = Pstats(orderStat, "dataset");
for (i = 0; i < setStat.length; i++) {
data.datasets[setStat[i].secvalue].stats.minimum = setStat[i].res.minimum;
data.datasets[setStat[i].secvalue].stats.minimumpi = setStat[i].res.minimumpi;
data.datasets[setStat[i].secvalue].stats.minimumpj = setStat[i].res.minimumpj;
data.datasets[setStat[i].secvalue].stats.maximum = setStat[i].res.maximum;
data.datasets[setStat[i].secvalue].stats.maximumpi = setStat[i].res.maximumpi;
data.datasets[setStat[i].secvalue].stats.maximumpj = setStat[i].res.maximumpj;
data.datasets[setStat[i].secvalue].stats.Q0 = setStat[i].res.Q0;
data.datasets[setStat[i].secvalue].stats.Q1 = setStat[i].res.Q1;
data.datasets[setStat[i].secvalue].stats.Q5 = setStat[i].res.Q5;
data.datasets[setStat[i].secvalue].stats.Q10 = setStat[i].res.Q10;
data.datasets[setStat[i].secvalue].stats.Q25 = setStat[i].res.Q25;
data.datasets[setStat[i].secvalue].stats.Q50 = setStat[i].res.Q50;
data.datasets[setStat[i].secvalue].stats.Q75 = setStat[i].res.Q75;
data.datasets[setStat[i].secvalue].stats.Q90 = setStat[i].res.Q90;
data.datasets[setStat[i].secvalue].stats.Q95 = setStat[i].res.Q95;
data.datasets[setStat[i].secvalue].stats.Q99 = setStat[i].res.Q99;
data.datasets[setStat[i].secvalue].stats.Q100 = setStat[i].res.Q100;
data.datasets[setStat[i].secvalue].stats.median = setStat[i].res.median;
data.datasets[setStat[i].secvalue].stats.interquartile_range = data.datasets[setStat[i].secvalue].stats.Q75 - data.datasets[setStat[i].secvalue].stats.Q25;
}
setStat = Pstats(orderStat, "col");
for (i = 0; i < setStat.length; i++) {
data.stats.data_minimum[setStat[i].secvalue] = setStat[i].res.minimum;
data.stats.data_minimumpi[setStat[i].secvalue] = setStat[i].res.minimumpi;
data.stats.data_minimumpj[setStat[i].secvalue] = setStat[i].res.minimumpj;
data.stats.data_maximum[setStat[i].secvalue] = setStat[i].res.maximum;
data.stats.data_maximumpi[setStat[i].secvalue] = setStat[i].res.maximumpi;
data.stats.data_maximumpj[setStat[i].secvalue] = setStat[i].res.maximumpj;
data.stats.data_Q0[setStat[i].secvalue] = setStat[i].res.Q0;
data.stats.data_Q1[setStat[i].secvalue] = setStat[i].res.Q1;
data.stats.data_Q5[setStat[i].secvalue] = setStat[i].res.Q5;
data.stats.data_Q10[setStat[i].secvalue] = setStat[i].res.Q10;
data.stats.data_Q25[setStat[i].secvalue] = setStat[i].res.Q25;
data.stats.data_Q50[setStat[i].secvalue] = setStat[i].res.Q50;
data.stats.data_Q75[setStat[i].secvalue] = setStat[i].res.Q75;
data.stats.data_Q90[setStat[i].secvalue] = setStat[i].res.Q90;
data.stats.data_Q95[setStat[i].secvalue] = setStat[i].res.Q95;
data.stats.data_Q99[setStat[i].secvalue] = setStat[i].res.Q99;
data.stats.data_Q100[setStat[i].secvalue] = setStat[i].res.Q100;
data.stats.data_median[setStat[i].secvalue] = setStat[i].res.median;
data.stats.data_interquartile_range[setStat[i].secvalue] = data.stats.data_Q75[setStat[i].secvalue] - data.stats.data_Q25[setStat[i].secvalue];
}
};
function Pstats(orderStat, secVar) {
var result = new Array();
orderStat.sort(function(a, b) {
if (a[secVar] < b[secVar]) return -1
else if (a[secVar] > b[secVar]) return 1
if (a.val < b.val) return -1
else if (a.val > b.val) return 1
else return 0
});
var deb = 0,
fin = 0;
for (i = 1; i < orderStat.length; i++) {
if (orderStat[i][secVar] == orderStat[deb][secVar]) fin++;
else {
result[result.length] = {
secvalue: orderStat[deb][secVar],
res: P2stats(deb, fin, orderStat)
};
fin++;
deb = fin;
}
}
result[result.length] = {
secvalue: orderStat[deb][secVar],
res: P2stats(deb, fin, orderStat)
};
return result;
};
function P2stats(deb, fin, orderStat) {
return {
minimum: orderStat[deb].val,
minimumpi : orderStat[deb].dataset,
minimumpj : orderStat[deb].col,
maximum: orderStat[fin].val,
maximumpi : orderStat[fin].dataset,
maximumpj : orderStat[fin].col,
Q0: orderStat[deb].val,
Q1: Quantile(1, deb, fin, orderStat),
Q5: Quantile(5, deb, fin, orderStat),
Q10: Quantile(10, deb, fin, orderStat),
Q25: Quantile(25, deb, fin, orderStat),
Q50: Quantile(50, deb, fin, orderStat),
Q75: Quantile(75, deb, fin, orderStat),
Q90: Quantile(90, deb, fin, orderStat),
Q95: Quantile(95, deb, fin, orderStat),
Q99: Quantile(99, deb, fin, orderStat),
Q100: orderStat[fin].val,
median: Quantile(50, deb, fin, orderStat)
}
};
function Quantile(quant, deb, fin, orderStat) {
var nbobs = fin - deb + 1;
if (quant <= 50.01) {
var v1 = Math.ceil((nbobs * quant / 100) - 0.000001) - 1;
var v2 = Math.ceil(((nbobs + 1) * quant / 100) - 0.000001) - 1;
} else {
var v1 = Math.ceil((nbobs * (100 - quant) / 100) - 0.000001) - 1;
v1 = nbobs - v1 - 1;
var v2 = Math.ceil(((nbobs + 1) * (100 - quant) / 100) - 0.000001) - 1;
v2 = nbobs - v2 - 1;
}
// if(deb+v2>fin)v2=fin-deb-1;
return ((orderStat[deb + v1].val + orderStat[deb + v2].val) / 2);
};
function disp_stats(data) {
document.write("data.stats.count_all=" + data.stats.count_all + "<BR>");
document.write("data.stats.count_missing=" + data.stats.count_missing + "<BR>");
document.write("data.stats.count_not_missing=" + data.stats.count_not_missing + "<BR>");
document.write("data.stats.minimum=" + data.stats.minimum + "<BR>");
document.write("data.stats.minimumpi=" + data.stats.minimumpi + "<BR>");
document.write("data.stats.minimumpj=" + data.stats.minimumpj + "<BR>");
document.write("data.stats.maximum=" + data.stats.maximum + "<BR>");
document.write("data.stats.maximumpi=" + data.stats.maximumpi + "<BR>");
document.write("data.stats.maximumpj=" + data.stats.maximumpj + "<BR>");
document.write("data.stats.sum=" + data.stats.sum + "<BR>");
document.write("data.stats.mean=" + data.stats.mean + "<BR>");
document.write("data.stats.sum_square_diff_mean=" + data.stats.sum_square_diff_mean + "<BR>");
document.write("data.stats.variance=" + data.stats.variance + "<BR>");
document.write("data.stats.standard _deviation=" + data.stats.standard_deviation + "<BR>");
document.write("data.stats.standard_error_mean=" + data.stats.standard_error_mean + "<BR>");
document.write("data.stats.standard_deviation_estimation=" + data.stats.standard_deviation_estimation + "<BR>");
document.write("data.stats.coefficient_variation=" + data.stats.coefficient_variation + "<BR>");
document.write("data.stats.skewness=" + data.stats.skewness + "<BR>");
document.write("data.stats.kurtosis=" + data.stats.kurtosis + "<BR>");
document.write("data.stats.student_t_test=" + data.stats.student_t_test + "<BR>");
document.write("data.stats.Q0" + data.stats.Q0 + "<BR>");
document.write("data.stats.Q1=" + data.stats.Q1 + "<BR>");
document.write("data.stats.Q5=" + data.stats.Q5 + "<BR>");
document.write("data.stats.Q10=" + data.stats.Q10 + "<BR>");
document.write("data.stats.Q25=" + data.stats.Q25 + "<BR>");
document.write("data.stats.Q50=" + data.stats.Q50 + "<BR>");
document.write("data.stats.Q75=" + data.stats.Q75 + "<BR>");
document.write("data.stats.Q90=" + data.stats.Q90 + "<BR>");
document.write("data.stats.Q95=" + data.stats.Q95 + "<BR>");
document.write("data.stats.Q99=" + data.stats.Q99 + "<BR>");
document.write("data.stats.Q100=" + data.stats.Q100 + "<BR>");
document.write("data.stats.median=" + data.stats.median + "<BR>");
document.write("data.stats.interquartile_range=" + data.stats.interquartile_range + "<BR>");
document.write("<hr>")
if (typeof data.datasets != 'undefined') {
for (i = 0; i < data.datasets.length; i++) {
document.write("<hr>")
document.write("DATASET: " + i + "<BR>");
document.write("data.datasets[" + i + "].stats.count_all=" + data.datasets[i].stats.count_all + "<BR>");
document.write("data.datasets[" + i + "].stats.count_missing=" + data.datasets[i].stats.count_missing + "<BR>");
document.write("data.datasets[" + i + "].stats.count_not_missing=" + data.datasets[i].stats.count_not_missing + "<BR>");
document.write("data.datasets[" + i + "].stats.minimum=" + data.datasets[i].stats.minimum + "<BR>");
document.write("data.datasets[" + i + "].stats.minimumpi=" + data.datasets[i].stats.minimumpi + "<BR>");
document.write("data.datasets[" + i + "].stats.minimumpj=" + data.datasets[i].stats.minimumpj + "<BR>");
document.write("data.datasets[" + i + "].stats.maximum=" + data.datasets[i].stats.maximum + "<BR>");
document.write("data.datasets[" + i + "].stats.maximumpi=" + data.datasets[i].stats.maximumpi + "<BR>");
document.write("data.datasets[" + i + "].stats.maximumpj=" + data.datasets[i].stats.maximumpj + "<BR>");
document.write("data.datasets[" + i + "].stats.sum=" + data.datasets[i].stats.sum + "<BR>");
document.write("data.datasets[" + i + "].stats.mean=" + data.datasets[i].stats.mean + "<BR>");
document.write("data.datasets[" + i + "].stats.sum_square_diff_mean=" + data.datasets[i].stats.sum_square_diff_mean + "<BR>");
document.write("data.datasets[" + i + "].stats.variance=" + data.datasets[i].stats.variance + "<BR>");
document.write("data.datasets[" + i + "].stats.standard_deviation=" + data.datasets[i].stats.standard_deviation + "<BR>");
document.write("data.datasets[" + i + "].stats.standard_error_mean=" + data.datasets[i].stats.standard_error_mean + "<BR>");
document.write("data.datasets[" + i + "].stats.standard_deviation_estimation=" + data.datasets[i].stats.standard_deviation_estimation + "<BR>");
document.write("data.datasets[" + i + "].stats.student_t_test=" + data.datasets[i].stats.student_t_test + "<BR>");
document.write("data.datasets[" + i + "].stats.coefficient_variation=" + data.datasets[i].stats.coefficient_variation + "<BR>");
document.write("data.datasets[" + i + "]stats.skewness=" + data.datasets[i].stats.skewness + "<BR>");
document.write("data.datasets[" + i + "]stats.kurtosis=" + data.datasets[i].stats.kurtosis + "<BR>");
document.write("data.datasets[" + i + "].stats.Q0=" + data.datasets[i].stats.Q0 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q1=" + data.datasets[i].stats.Q1 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q5=" + data.datasets[i].stats.Q5 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q10=" + data.datasets[i].stats.Q10 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q25=" + data.datasets[i].stats.Q25 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q50=" + data.datasets[i].stats.Q50 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q75=" + data.datasets[i].stats.Q75 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q90=" + data.datasets[i].stats.Q90 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q95=" + data.datasets[i].stats.Q95 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q99=" + data.datasets[i].stats.Q99 + "<BR>");
document.write("data.datasets[" + i + "].stats.Q100=" + data.datasets[i].stats.Q100 + "<BR>");
document.write("data.datasets[" + i + "].stats.median=" + data.datasets[i].stats.median + "<BR>");
document.write("data.datasets[" + i + "].stats.interquartile_range=" + data.datasets[i].stats.interquartile_range + "<BR>");
}
document.write("<hr>")
for (i = 0; i < data.stats.max_number_data; i++) {
document.write("<hr>")
document.write("Data: " + i + "<BR>");
document.write("data.stats.data_count_all[" + i + "]=" + data.stats.data_count_all[i] + "<BR>");
document.write("data.stats.data_count_missing[" + i + "]=" + data.stats.data_count_missing[i] + "<BR>");
document.write("data.stats.data_count_not_missing[" + i + "]=" + data.stats.data_count_not_missing[i] + "<BR>");
document.write("data.stats.data_minimum[" + i + "]=" + data.stats.data_minimum[i] + "<BR>");
document.write("data.stats.data_minimumpi[" + i + "]=" + data.stats.data_minimumpi[i] + "<BR>");
document.write("data.stats.data_minimumpj[" + i + "]=" + data.stats.data_minimumpj[i] + "<BR>");
document.write("data.stats.data_maximum[" + i + "]=" + data.stats.data_maximum[i] + "<BR>");
document.write("data.stats.data_maximumpi[" + i + "]=" + data.stats.data_maximumpi[i] + "<BR>");
document.write("data.stats.data_maximumpj[" + i + "]=" + data.stats.data_maximumpj[i] + "<BR>");
document.write("data.stats.data_sum[" + i + "]=" + data.stats.data_sum[i] + "<BR>");
document.write("data.stats.data_mean[" + i + "]=" + data.stats.data_mean[i] + "<BR>");
document.write("data.stats.data_sum_square_diff_mean[" + i + "]=" + data.stats.data_sum_square_diff_mean[i] + "<BR>");
document.write("data.stats.data_variance[" + i + "]=" + data.stats.data_variance[i] + "<BR>");
document.write("data.stats.data_standard_deviation[" + i + "]=" + data.stats.data_standard_deviation[i] + "<BR>");
document.write("data.stats.data_standard_error_mean[" + i + "]=" + data.stats.data_standard_error_mean[i] + "<BR>");
document.write("data.stats.data_standard_deviation_estimation[" + i + "]=" + data.stats.data_standard_deviation_estimation[i] + "<BR>");
document.write("data.stats.data_student_t_test[" + i + "]=" + data.stats.data_student_t_test[i] + "<BR>");
document.write("data.stats.data_coefficient_variation[" + i + "]=" + data.stats.data_coefficient_variation[i] + "<BR>");
document.write("data.stats.data_skewness[" + i + "]=" + data.stats.data_skewness[i] + "<BR>");
document.write("data.stats.data_kurtosis[" + i + "]=" + data.stats.data_kurtosis[i] + "<BR>");
document.write("data.stats.data_Q0[" + i + "]=" + data.stats.data_Q0[i] + "<BR>");
document.write("data.stats.data_Q1[" + i + "]=" + data.stats.data_Q1[i] + "<BR>");
document.write("data.stats.data_Q5[" + i + "]=" + data.stats.data_Q5[i] + "<BR>");
document.write("data.stats.data_Q10[" + i + "]=" + data.stats.data_Q10[i] + "<BR>");
document.write("data.stats.data_Q25[" + i + "]=" + data.stats.data_Q25[i] + "<BR>");
document.write("data.stats.data_Q50[" + i + "]=" + data.stats.data_Q50[i] + "<BR>");
document.write("data.stats.data_Q75[" + i + "]=" + data.stats.data_Q75[i] + "<BR>");
document.write("data.stats.data_Q90[" + i + "]=" + data.stats.data_Q90[i] + "<BR>");
document.write("data.stats.data_Q95[" + i + "]=" + data.stats.data_Q95[i] + "<BR>");
document.write("data.stats.data_Q99[" + i + "]=" + data.stats.data_Q99[i] + "<BR>");
document.write("data.stats.data_Q100[" + i + "]=" + data.stats.data_Q100[i] + "<BR>");
document.write("data.stats.data_median[" + i + "]=" + data.stats.data_median[i] + "<BR>");
document.write("data.stats.data_interquartile_range[" + i + "]=" + data.stats.data_interquartile_range[i] + "<BR>");
}
}
};
function replace_stats(data, config) {
// replace in the data
var i,j;
if (data.stats.data_with_stats) {
if (typeof data.datasets == 'undefined') { // Pie structure;
for (i = 0; i < data.length; i++) {
if (isStat(data[i].value)) data[i].value = replace_Stats_In(data[i].value, data, -1, -1);
// templates ?
if (isTemplate(data[i].value)) {
data[i].value = tmplStat(data[i].value, {
V1: 1
});
}
}
} else { // line structure;
for (i = 0; i < data.datasets["length"]; i++) {
for (j = 0; j < data.datasets[i].data["length"]; j++) {
if (isStat(data.datasets[i].data[j])) {
data.datasets[i].data[j] = replace_Stats_In(data.datasets[i].data[j], data, i, j);
}
// templates ?
if (isTemplate(data.datasets[i].data[j])) {
data.datasets[i].data[j] = tmplStat(data.datasets[i].data[j], {
V1: 1
});
}
}
}
}
}
// replace in other part of the data (titles)
if (typeof data.datasets == 'undefined') { // Pie structure;
for (i = 0; i < data.length; i++) {
if (isStat(data[i].title)) data[i].title = replace_Stats_In(data[i].title, data, -1, -1);
// templates ?
if (isTemplate(data[i].title)) {
data[i].title = tmplStat(data[i].title, {
V1: 1
});
}
}
} else { // line structure;
for (var i = 0; i < data.datasets["length"]; i++) {
if (isStat(data.datasets[i].title)) {
data.datasets[i].title = replace_Stats_In(data.datasets[i].title, data, i, -1);
}
// templates ?
if (isTemplate(data.datasets[i].title)) {
data.datasets[i].title = tmplStat(data.datasets[i].title, {
V1: 1
});
}
}
}
// replace in shapesInChart;
if (typeof data.datasets == 'undefined') { // Pie structure;
if (typeof data[0].shapesInChart == "object") {
for(i=0;i<data[0].shapesInChart.length;i++) {
replace_in_object(data[0].shapesInChart[i], data);
}
}
} else { // Line structure;
if(typeof data.shapesInChart == "object") {
for(i=0;i<data.shapesInChart.length;i++) {
replace_in_object(data.shapesInChart[i], data);
}
}
}
// replace in options;
replace_in_object(config, data);
};
function replace_in_object(obj, data) {
for (var attrname in obj) {
if (typeof obj[attrname] == "object") {
replace_in_object(obj[attrname], data);
} else if (isStat(obj[attrname])) {
obj[attrname] = replace_Stats_In(obj[attrname], data, -1, -1);
// templates if not a template option....
if (!(attrname == "annotateLabel" || attrname == "inGraphDataTmpl" || attrname == "scaleLabel")) {
if (isTemplate(obj[attrname])) {
obj[attrname] = tmplStat(obj[attrname], {
V1: 1
});
}
}
}
}
};
function tmplStat(str, data) {
// Figure out if we're getting a template, or if we need to
// load the template - and be sure to cache the result.
var fn = !/\W/.test(str) ?
cachebis[str] = cachebis[str] ||
tmplbis(document.getElementById(str).innerHTML) :
// Generate a reusable function that will serve as a template
// generator (and which will be cached).
new Function("obj",
"var p=[],print=function(){p.push.apply(p,arguments);};" +
// Introduce the data as local variables using with(){}
"with(obj){p.push('" +
// Convert the template into pure JavaScript
str
.replace(/[\r\t\n]/g, " ")
.split("<%").join("\t")
.replace(/((^|%>)[^\t]*)'/g, "$1\r")
.replace(/\t=(.*?)%>/g, "',$1,'")
.split("\t").join("');")
.split("%>").join("p.push('")
.split("\r").join("\\'") + "');}return p.join('');");
// Provide some basic currying to the user
return data ? fn(data) : fn;
};
function isTemplate(strvar) {
if (typeof strvar == "string") {
if (strvar.indexOf("<%") >= 0) {
if (strvar.indexOf(">", strvar.indexOf("%>")) > 0) {
return true;
}
}
}
return false;
};
function replace_Stats_In(strval, data, dataset, coldata) {
var resval = "";
var start = 0;
var prevstat = true;
while (strval.indexOf("#", start) >= 0) {
// strval.substring(start,) ;
if (!prevstat) {
var statOf = convertStat(strval.substring(start, strval.indexOf("#", start)), data, dataset, coldata);
if (statOf.found) {
resval = resval + statOf.resval;
start = strval.indexOf("#", start) + 1;
prevstat = true;
} else {
resval = resval + "#" + statOf.resval;
start = strval.indexOf("#", start) + 1;
}
} else {
if (start > 0) resval = resval;
resval = resval + strval.substring(start, strval.indexOf("#", start));
start = strval.indexOf("#", start) + 1;
prevstat = false;
}
}
if (!prevstat) resval = resval + "#";
resval = resval + strval.substring(start, strval.length);
return resval;
};
function convertStat(statval, data, dataset, coldata) {
var resval = statval;
var found = false;
if (typeof data.stats[statval.toLowerCase()] != "undefined" && typeof data.stats[statval.toLowerCase()] != "object") {
resval = data.stats[statval.toLowerCase()];
found = true;
} else if (statval.toLowerCase().substring(0, 3) == "ds_") {
stat = statval.toLowerCase().substring(3);
if (stat.indexOf("(") > 0) {
var vdataset = stat.substring(stat.indexOf("(") + 1);
vdataset = 1 * vdataset.substring(0, vdataset.indexOf(")"));
var stat = stat.substring(0, stat.indexOf("("));
} else {
vdataset = Math.max(1 * dataset, 0);
}
if (typeof data.datasets == "object") {
if (typeof data.datasets[vdataset] == "object") {
if (typeof data.datasets[vdataset].stats == "object") {
if (typeof data.datasets[vdataset].stats[stat] == "number") {
resval = data.datasets[vdataset].stats[stat];
found = true;
}
}
}
}
} else if (statval.toLowerCase().substring(0, 5) == "data_") {
stat = statval.toLowerCase().substring(5);
if (stat.indexOf("(") > 0) {
vdataset = stat.substring(stat.indexOf("(") + 1);
vdataset = 1 * vdataset.substring(0, vdataset.indexOf(")"));
stat = stat.substring(0, stat.indexOf("("));
} else {
vdataset = Math.max(1 * coldata, 0);
}
if (typeof data.datasets == "object") {
if (typeof data.stats["data_" + stat] == "object") {
if (typeof data.stats["data_" + stat][vdataset] == "number") {
resval = data.stats["data_" + stat][vdataset];
found = true;
}
}
}
} else if (statval.toLowerCase().substring(0, 9) == "variable_") {
resval = eval(statval.toLowerCase().substring(9));
found=true;
}
return {
found: found,
resval: resval
};
};