* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
-var count1 = output1.length;
-var count2 = output2.length;
-
-var itemTotals1 = {};
-itemTotals1.length = count1;
-
-var total1 = 0;
-var categoryTotals1 = {};
-var testTotalsByCategory1 = {};
-
-var mean1 = 0;
-var categoryMeans1 = {};
-var testMeansByCategory1 = {};
-
-var stdDev1 = 0;
-var categoryStdDevs1 = {};
-var testStdDevsByCategory1 = {};
-
-var stdErr1 = 0;
-var categoryStdErrs1 = {};
-var testStdErrsByCategory1 = {};
-
-var itemTotals2 = {};
-itemTotals2.length = count2;
-
-var total2 = 0;
-var categoryTotals2 = {};
-var testTotalsByCategory2 = {};
-
-var mean2 = 0;
-var categoryMeans2 = {};
-var testMeansByCategory2 = {};
-
-var stdDev2 = 0;
-var categoryStdDevs2 = {};
-var testStdDevsByCategory2 = {};
-
-var stdErr2 = 0;
-var categoryStdErrs2 = {};
-var testStdErrsByCategory2 = {};
-
-function initialize()
+function sunspiderCompareResults(output1, output2)
{
- itemTotals1 = {total: []};
-
- for (var i = 0; i < categories.length; i++) {
- var category = categories[i];
- itemTotals1[category] = [];
- categoryTotals1[category] = 0;
- testTotalsByCategory1[category] = {};
- categoryMeans1[category] = 0;
- testMeansByCategory1[category] = {};
- categoryStdDevs1[category] = 0;
- testStdDevsByCategory1[category] = {};
- categoryStdErrs1[category] = 0;
- testStdErrsByCategory1[category] = {};
- }
+ var count1 = output1.length;
+ var count2 = output2.length;
- for (var i = 0; i < tests.length; i++) {
- var test = tests[i];
- itemTotals1[test] = [];
- var category = test.replace(/-.*/, "");
- testTotalsByCategory1[category][test] = 0;
- testMeansByCategory1[category][test] = 0;
- testStdDevsByCategory1[category][test] = 0;
- testStdErrsByCategory1[category][test] = 0;
- }
-
- for (var i = 0; i < count1; i++) {
- itemTotals1["total"][i] = 0;
- for (var category in categoryTotals1) {
- itemTotals1[category][i] = 0;
- for (var test in testTotalsByCategory1[category]) {
- itemTotals1[test][i] = 0;
- }
+ var itemTotals1 = {};
+ itemTotals1.length = count1;
+
+ var total1 = 0;
+ var categoryTotals1 = {};
+ var testTotalsByCategory1 = {};
+
+ var mean1 = 0;
+ var categoryMeans1 = {};
+ var testMeansByCategory1 = {};
+
+ var stdDev1 = 0;
+ var categoryStdDevs1 = {};
+ var testStdDevsByCategory1 = {};
+
+ var stdErr1 = 0;
+ var categoryStdErrs1 = {};
+ var testStdErrsByCategory1 = {};
+
+ var itemTotals2 = {};
+ itemTotals2.length = count2;
+
+ var total2 = 0;
+ var categoryTotals2 = {};
+ var testTotalsByCategory2 = {};
+
+ var mean2 = 0;
+ var categoryMeans2 = {};
+ var testMeansByCategory2 = {};
+
+ var stdDev2 = 0;
+ var categoryStdDevs2 = {};
+ var testStdDevsByCategory2 = {};
+
+ var stdErr2 = 0;
+ var categoryStdErrs2 = {};
+ var testStdErrsByCategory2 = {};
+
+ function initialize()
+ {
+ itemTotals1 = {total: []};
+
+ for (var i = 0; i < categories.length; i++) {
+ var category = categories[i];
+ itemTotals1[category] = [];
+ categoryTotals1[category] = 0;
+ testTotalsByCategory1[category] = {};
+ categoryMeans1[category] = 0;
+ testMeansByCategory1[category] = {};
+ categoryStdDevs1[category] = 0;
+ testStdDevsByCategory1[category] = {};
+ categoryStdErrs1[category] = 0;
+ testStdErrsByCategory1[category] = {};
}
- }
-
- itemTotals2 = {total: []};
-
- for (var i = 0; i < categories.length; i++) {
- var category = categories[i];
- itemTotals2[category] = [];
- categoryTotals2[category] = 0;
- testTotalsByCategory2[category] = {};
- categoryMeans2[category] = 0;
- testMeansByCategory2[category] = {};
- categoryStdDevs2[category] = 0;
- testStdDevsByCategory2[category] = {};
- categoryStdErrs2[category] = 0;
- testStdErrsByCategory2[category] = {};
- }
-
- for (var i = 0; i < tests.length; i++) {
- var test = tests[i];
- itemTotals2[test] = [];
- var category = test.replace(/-.*/, "");
- testTotalsByCategory2[category][test] = 0;
- testMeansByCategory2[category][test] = 0;
- testStdDevsByCategory2[category][test] = 0;
- testStdErrsByCategory2[category][test] = 0;
- }
-
- for (var i = 0; i < count2; i++) {
- itemTotals2["total"][i] = 0;
- for (var category in categoryTotals2) {
- itemTotals2[category][i] = 0;
- for (var test in testTotalsByCategory2[category]) {
- itemTotals2[test][i] = 0;
+
+ for (var i = 0; i < tests.length; i++) {
+ var test = tests[i];
+ itemTotals1[test] = [];
+ var category = test.replace(/-.*/, "");
+ testTotalsByCategory1[category][test] = 0;
+ testMeansByCategory1[category][test] = 0;
+ testStdDevsByCategory1[category][test] = 0;
+ testStdErrsByCategory1[category][test] = 0;
+ }
+
+ for (var i = 0; i < count1; i++) {
+ itemTotals1["total"][i] = 0;
+ for (var category in categoryTotals1) {
+ itemTotals1[category][i] = 0;
+ for (var test in testTotalsByCategory1[category]) {
+ itemTotals1[test][i] = 0;
+ }
}
}
- }
-
-}
-
-function computeItemTotals(output, itemTotals)
-{
- for (var i = 0; i < output.length; i++) {
- var result = output[i];
- for (var test in result) {
- var time = result[test];
- var category = test.replace(/-.*/, "");
- itemTotals["total"][i] += time;
- itemTotals[category][i] += time;
- itemTotals[test][i] += time;
+
+ itemTotals2 = {total: []};
+
+ for (var i = 0; i < categories.length; i++) {
+ var category = categories[i];
+ itemTotals2[category] = [];
+ categoryTotals2[category] = 0;
+ testTotalsByCategory2[category] = {};
+ categoryMeans2[category] = 0;
+ testMeansByCategory2[category] = {};
+ categoryStdDevs2[category] = 0;
+ testStdDevsByCategory2[category] = {};
+ categoryStdErrs2[category] = 0;
+ testStdErrsByCategory2[category] = {};
}
- }
-}
-
-function computeTotals(output, categoryTotals, testTotalsByCategory)
-{
- var total = 0;
-
- for (var i = 0; i < output.length; i++) {
- var result = output[i];
- for (var test in result) {
- var time = result[test];
+
+ for (var i = 0; i < tests.length; i++) {
+ var test = tests[i];
+ itemTotals2[test] = [];
var category = test.replace(/-.*/, "");
- total += time;
- categoryTotals[category] += time;
- testTotalsByCategory[category][test] += time;
+ testTotalsByCategory2[category][test] = 0;
+ testMeansByCategory2[category][test] = 0;
+ testStdDevsByCategory2[category][test] = 0;
+ testStdErrsByCategory2[category][test] = 0;
+ }
+
+ for (var i = 0; i < count2; i++) {
+ itemTotals2["total"][i] = 0;
+ for (var category in categoryTotals2) {
+ itemTotals2[category][i] = 0;
+ for (var test in testTotalsByCategory2[category]) {
+ itemTotals2[test][i] = 0;
+ }
+ }
}
+
}
-
- return total;
-}
-
-function computeMeans(count, total, categoryTotals, categoryMeans, testTotalsByCategory, testMeansByCategory)
-{
- var mean = total / count;
- for (var category in categoryTotals) {
- categoryMeans[category] = categoryTotals[category] / count;
- for (var test in testTotalsByCategory[category]) {
- testMeansByCategory[category][test] = testTotalsByCategory[category][test] / count;
+
+ function computeItemTotals(output, itemTotals)
+ {
+ for (var i = 0; i < output.length; i++) {
+ var result = output[i];
+ for (var test in result) {
+ var time = result[test];
+ var category = test.replace(/-.*/, "");
+ itemTotals["total"][i] += time;
+ itemTotals[category][i] += time;
+ itemTotals[test][i] += time;
+ }
}
}
- return mean;
-}
-
-function standardDeviation(mean, items)
-{
- var deltaSquaredSum = 0;
- for (var i = 0; i < items.length; i++) {
- var delta = items[i] - mean;
- deltaSquaredSum += delta * delta;
+
+ function computeTotals(output, categoryTotals, testTotalsByCategory)
+ {
+ var total = 0;
+
+ for (var i = 0; i < output.length; i++) {
+ var result = output[i];
+ for (var test in result) {
+ var time = result[test];
+ var category = test.replace(/-.*/, "");
+ total += time;
+ categoryTotals[category] += time;
+ testTotalsByCategory[category][test] += time;
+ }
+ }
+
+ return total;
}
- variance = deltaSquaredSum / (items.length - 1);
- return Math.sqrt(variance);
-}
-
-function computeStdDevs(mean, itemTotals, categoryStdDevs, categoryMeans, testStdDevsByCategory, testMeansByCategory)
-{
- var stdDev = standardDeviation(mean, itemTotals["total"]);
- for (var category in categoryStdDevs) {
- categoryStdDevs[category] = standardDeviation(categoryMeans[category], itemTotals[category]);
+
+ function computeMeans(count, total, categoryTotals, categoryMeans, testTotalsByCategory, testMeansByCategory)
+ {
+ var mean = total / count;
+ for (var category in categoryTotals) {
+ categoryMeans[category] = categoryTotals[category] / count;
+ for (var test in testTotalsByCategory[category]) {
+ testMeansByCategory[category][test] = testTotalsByCategory[category][test] / count;
+ }
+ }
+ return mean;
}
- for (var category in categoryStdDevs) {
- for (var test in testStdDevsByCategory[category]) {
- testStdDevsByCategory[category][test] = standardDeviation(testMeansByCategory[category][test], itemTotals[test]);
+
+ function standardDeviation(mean, items)
+ {
+ var deltaSquaredSum = 0;
+ for (var i = 0; i < items.length; i++) {
+ var delta = items[i] - mean;
+ deltaSquaredSum += delta * delta;
}
+ variance = deltaSquaredSum / (items.length - 1);
+ return Math.sqrt(variance);
}
- return stdDev;
-}
-
-function computeStdErrors(count, stdDev, categoryStdErrs, categoryStdDevs, testStdErrsByCategory, testStdDevsByCategory)
-{
- var sqrtCount = Math.sqrt(count);
- var stdErr = stdDev / sqrtCount;
- for (var category in categoryStdErrs) {
- categoryStdErrs[category] = categoryStdDevs[category] / sqrtCount;
+ function computeStdDevs(mean, itemTotals, categoryStdDevs, categoryMeans, testStdDevsByCategory, testMeansByCategory)
+ {
+ var stdDev = standardDeviation(mean, itemTotals["total"]);
+ for (var category in categoryStdDevs) {
+ categoryStdDevs[category] = standardDeviation(categoryMeans[category], itemTotals[category]);
+ }
+ for (var category in categoryStdDevs) {
+ for (var test in testStdDevsByCategory[category]) {
+ testStdDevsByCategory[category][test] = standardDeviation(testMeansByCategory[category][test], itemTotals[test]);
+ }
+ }
+ return stdDev;
}
- for (var category in categoryStdDevs) {
- for (var test in testStdErrsByCategory[category]) {
- testStdErrsByCategory[category][test] = testStdDevsByCategory[category][test] / sqrtCount;
+
+ function computeStdErrors(count, stdDev, categoryStdErrs, categoryStdDevs, testStdErrsByCategory, testStdDevsByCategory)
+ {
+ var sqrtCount = Math.sqrt(count);
+
+ var stdErr = stdDev / sqrtCount;
+ for (var category in categoryStdErrs) {
+ categoryStdErrs[category] = categoryStdDevs[category] / sqrtCount;
+ }
+ for (var category in categoryStdDevs) {
+ for (var test in testStdErrsByCategory[category]) {
+ testStdErrsByCategory[category][test] = testStdDevsByCategory[category][test] / sqrtCount;
+ }
}
+
+ return stdErr;
}
-
- return stdErr;
-}
-
-var tDistribution = [NaN, NaN, 12.71, 4.30, 3.18, 2.78, 2.57, 2.45, 2.36, 2.31, 2.26, 2.23, 2.20, 2.18, 2.16, 2.14, 2.13, 2.12, 2.11, 2.10, 2.09, 2.09, 2.08, 2.07, 2.07, 2.06, 2.06, 2.06, 2.05, 2.05, 2.05, 2.04, 2.04, 2.04, 2.03, 2.03, 2.03, 2.03, 2.03, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.96];
-var tMax = tDistribution.length;
-var tLimit = 1.96;
-
-function tDist(n)
-{
- if (n > tMax)
- return tLimit;
- return tDistribution[n];
-}
-
-
-function formatMean(meanWidth, mean, stdErr, count)
-{
- var meanString = mean.toFixed(1).toString();
- while (meanString.length < meanWidth) {
- meanString = " " + meanString;
+
+ var tDistribution = [NaN, NaN, 12.71, 4.30, 3.18, 2.78, 2.57, 2.45, 2.36, 2.31, 2.26, 2.23, 2.20, 2.18, 2.16, 2.14, 2.13, 2.12, 2.11, 2.10, 2.09, 2.09, 2.08, 2.07, 2.07, 2.06, 2.06, 2.06, 2.05, 2.05, 2.05, 2.04, 2.04, 2.04, 2.03, 2.03, 2.03, 2.03, 2.03, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.96];
+ var tMax = tDistribution.length;
+ var tLimit = 1.96;
+
+ function tDist(n)
+ {
+ if (n > tMax)
+ return tLimit;
+ return tDistribution[n];
}
-
- var error = "+/- " + ((tDist(count) * stdErr / mean) * 100).toFixed(1) + "% ";
-
- return meanString + "ms " + error;
-}
-
-function computeLabelWidth()
-{
- var width = "Total".length;
- for (var category in categoryMeans1) {
- if (category.length + 2 > width)
- width = category.length + 2;
+
+
+ function formatMean(meanWidth, mean, stdErr, count)
+ {
+ var meanString = mean.toFixed(1).toString();
+ while (meanString.length < meanWidth) {
+ meanString = " " + meanString;
+ }
+
+ var error = "+/- " + ((tDist(count) * stdErr / mean) * 100).toFixed(1) + "% ";
+
+ return meanString + "ms " + error;
}
- for (var i = 0; i < tests.length; i++) {
- var shortName = tests[i].replace(/^[^-]*-/, "");
- if (shortName.length + 4 > width)
- width = shortName.length + 4;
+
+ function computeLabelWidth()
+ {
+ var width = "Total".length;
+ for (var category in categoryMeans1) {
+ if (category.length + 2 > width)
+ width = category.length + 2;
+ }
+ for (var i = 0; i < tests.length; i++) {
+ var shortName = tests[i].replace(/^[^-]*-/, "");
+ if (shortName.length + 4 > width)
+ width = shortName.length + 4;
+ }
+
+ return width;
}
-
- return width;
-}
-
-function computeMeanWidth(mean, categoryMeans, testMeansByCategory)
-{
- var width = mean.toFixed(1).toString().length;
- for (var category in categoryMeans) {
- var candidate = categoryMeans[category].toFixed(1).toString().length;
- if (candidate > width)
- width = candidate;
- for (var test in testMeansByCategory[category]) {
- var candidate = testMeansByCategory[category][test].toFixed(1).toString().length;
+
+ function computeMeanWidth(mean, categoryMeans, testMeansByCategory)
+ {
+ var width = mean.toFixed(1).toString().length;
+ for (var category in categoryMeans) {
+ var candidate = categoryMeans[category].toFixed(1).toString().length;
if (candidate > width)
width = candidate;
+ for (var test in testMeansByCategory[category]) {
+ var candidate = testMeansByCategory[category][test].toFixed(1).toString().length;
+ if (candidate > width)
+ width = candidate;
+ }
}
+
+ return width;
}
-
- return width;
-}
-
-function pad(str, n)
-{
- while (str.length < n) {
- str += " ";
+
+ function pad(str, n)
+ {
+ while (str.length < n) {
+ str += " ";
+ }
+ return str;
}
- return str;
-}
-
-function resultLine(labelWidth, indent, label, meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2)
-{
- result = pad("", indent);
- result += label + ": ";
- result = pad(result, labelWidth + 2);
-
- var t = (mean1 - mean2) / (Math.sqrt((stdErr1 * stdErr1) + (stdErr1 * stdErr2)));
- var df = count1 + count2 - 2;
-
- var statisticallySignificant = (Math.abs(t) > tDist(df+1));
- var diff = mean2 - mean1;
- var percentage = 100 * diff / mean1;
- var isFaster = diff < 0;
- var probablySame = (percentage < 0.1) && !statisticallySignificant;
-
- var diffSummary;
- var diffDetail;
-
- if (probablySame) {
- diffSummary = "-";
- diffDetail = "";
- } else if (!statisticallySignificant) {
- diffSummary = "??";
- diffDetail = " not conclusive: might be " + Math.abs(percentage).toFixed(1).toString() + "% ";
- diffDetail += (isFaster ? "faster" : "*slower*");
- } else {
- diffSummary = Math.abs(percentage).toFixed(1).toString() + "% " + (isFaster ? "faster" : "*slower*");
- diffDetail = " significant";
+
+ function resultLine(labelWidth, indent, label, meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2)
+ {
+ result = pad("", indent);
+ result += label + ": ";
+ result = pad(result, labelWidth + 2);
+
+ var t = (mean1 - mean2) / (Math.sqrt((stdErr1 * stdErr1) + (stdErr1 * stdErr2)));
+ var df = count1 + count2 - 2;
+
+ var statisticallySignificant = (Math.abs(t) > tDist(df+1));
+ var diff = mean2 - mean1;
+ var percentage = 100 * diff / mean1;
+ var isFaster = diff < 0;
+ var probablySame = (percentage < 0.1) && !statisticallySignificant;
+
+ var diffSummary;
+ var diffDetail;
+
+ if (probablySame) {
+ diffSummary = "-";
+ diffDetail = "";
+ } else if (!statisticallySignificant) {
+ diffSummary = "??";
+ diffDetail = " not conclusive: might be " + Math.abs(percentage).toFixed(1).toString() + "% ";
+ diffDetail += (isFaster ? "faster" : "*slower*");
+ } else {
+ diffSummary = Math.abs(percentage).toFixed(1).toString() + "% " + (isFaster ? "faster" : "*slower*");
+ diffDetail = " significant";
+ }
+
+ return result + pad(diffSummary, 16) + formatMean(meanWidth1, mean1, stdErr1, count1) + " " + formatMean(meanWidth2, mean2, stdErr2, count2) + diffDetail;
}
-
- return result + pad(diffSummary, 16) + formatMean(meanWidth1, mean1, stdErr1, count1) + " " + formatMean(meanWidth2, mean2, stdErr2, count2) + diffDetail;
-}
-
-function printOutput()
-{
- var labelWidth = computeLabelWidth();
- var meanWidth1 = computeMeanWidth(mean1, categoryMeans1, testMeansByCategory1);
- var meanWidth2 = computeMeanWidth(mean2, categoryMeans2, testMeansByCategory2);
-
- print("\n");
- var header = "TEST";
- while (header.length < labelWidth)
- header += " ";
- header += " COMPARISON FROM TO DETAILS";
- print(header);
- print("");
- print("=============================================================================");
- print("");
- print(resultLine(labelWidth, 0, "** TOTAL **", meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2));
- print("");
- print("=============================================================================");
-
- for (var category in categoryMeans1) {
+
+ function printOutput()
+ {
+ var labelWidth = computeLabelWidth();
+ var meanWidth1 = computeMeanWidth(mean1, categoryMeans1, testMeansByCategory1);
+ var meanWidth2 = computeMeanWidth(mean2, categoryMeans2, testMeansByCategory2);
+
+ print("\n");
+ var header = "TEST";
+ while (header.length < labelWidth)
+ header += " ";
+ header += " COMPARISON FROM TO DETAILS";
+ print(header);
+ print("");
+ print("=============================================================================");
print("");
- print(resultLine(labelWidth, 2, category,
- meanWidth1, categoryMeans1[category], categoryStdErrs1[category],
- meanWidth2, categoryMeans2[category], categoryStdErrs2[category]));
- for (var test in testMeansByCategory1[category]) {
- var shortName = test.replace(/^[^-]*-/, "");
- print(resultLine(labelWidth, 4, shortName,
- meanWidth1, testMeansByCategory1[category][test], testStdErrsByCategory1[category][test],
- meanWidth2, testMeansByCategory2[category][test], testStdErrsByCategory2[category][test]));
+ print(resultLine(labelWidth, 0, "** TOTAL **", meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2));
+ print("");
+ print("=============================================================================");
+
+ for (var category in categoryMeans1) {
+ print("");
+ print(resultLine(labelWidth, 2, category,
+ meanWidth1, categoryMeans1[category], categoryStdErrs1[category],
+ meanWidth2, categoryMeans2[category], categoryStdErrs2[category]));
+ for (var test in testMeansByCategory1[category]) {
+ var shortName = test.replace(/^[^-]*-/, "");
+ print(resultLine(labelWidth, 4, shortName,
+ meanWidth1, testMeansByCategory1[category][test], testStdErrsByCategory1[category][test],
+ meanWidth2, testMeansByCategory2[category][test], testStdErrsByCategory2[category][test]));
+ }
}
}
-}
-
-initialize();
-
-computeItemTotals(output1, itemTotals1);
-computeItemTotals(output2, itemTotals2);
+
+ initialize();
+
+ computeItemTotals(output1, itemTotals1);
+ computeItemTotals(output2, itemTotals2);
-total1 = computeTotals(output1, categoryTotals1, testTotalsByCategory1);
-total2 = computeTotals(output2, categoryTotals2, testTotalsByCategory2);
+ total1 = computeTotals(output1, categoryTotals1, testTotalsByCategory1);
+ total2 = computeTotals(output2, categoryTotals2, testTotalsByCategory2);
-mean1 = computeMeans(count1, total1, categoryTotals1, categoryMeans1, testTotalsByCategory1, testMeansByCategory1);
-mean2 = computeMeans(count2, total2, categoryTotals2, categoryMeans2, testTotalsByCategory2, testMeansByCategory2);
+ mean1 = computeMeans(count1, total1, categoryTotals1, categoryMeans1, testTotalsByCategory1, testMeansByCategory1);
+ mean2 = computeMeans(count2, total2, categoryTotals2, categoryMeans2, testTotalsByCategory2, testMeansByCategory2);
-stdDev1 = computeStdDevs(mean1, itemTotals1, categoryStdDevs1, categoryMeans1, testStdDevsByCategory1, testMeansByCategory1);
-stdDev2 = computeStdDevs(mean2, itemTotals2, categoryStdDevs2, categoryMeans2, testStdDevsByCategory2, testMeansByCategory2);
+ stdDev1 = computeStdDevs(mean1, itemTotals1, categoryStdDevs1, categoryMeans1, testStdDevsByCategory1, testMeansByCategory1);
+ stdDev2 = computeStdDevs(mean2, itemTotals2, categoryStdDevs2, categoryMeans2, testStdDevsByCategory2, testMeansByCategory2);
-stdErr1 = computeStdErrors(count1, stdDev1, categoryStdErrs1, categoryStdDevs1, testStdErrsByCategory1, testStdDevsByCategory1);
-stdErr2 = computeStdErrors(count2, stdDev2, categoryStdErrs2, categoryStdDevs2, testStdErrsByCategory2, testStdDevsByCategory2);
+ stdErr1 = computeStdErrors(count1, stdDev1, categoryStdErrs1, categoryStdDevs1, testStdErrsByCategory1, testStdDevsByCategory1);
+ stdErr2 = computeStdErrors(count2, stdDev2, categoryStdErrs2, categoryStdDevs2, testStdErrsByCategory2, testStdDevsByCategory2);
-printOutput();
+ printOutput();
+}