A statistics toolkit for javascript.

Install using npm:

npm install statkit 

Calculate a confidence interval for a correlation using the bootstrap method:

var sk = require("statkit"); var lsat = [576, 635, 558, 578, 666, 580, 555, 661, 651, 605, 653, 575, 545, 572, 594]; var gpa = [3.39, 3.30, 2.81, 3.03, 3.44, 3.07, 3.00, 3.43, 3.36, 3.13, 3.12, 2.74, 2.76, 2.88, 2.96]; var corr = sk.corr(gpa, lsat); var ci = sk.bootci(100000, sk.corr, gpa, lsat); console.log("corr = ", corr, "ci = ", ci);

• min(a) - Minimum
• max(a) - Maximum
• range(a) - Range
• quantile(a) - Quantile
• median(a) - Median
• iqr(a) - Interquartile range
• mean(a) - Mean
• gmean(a) - Geometric mean
• hmean(a) - Harmonic mean
• var(a) - Variance
• std(a) - Standard deviation
• skew(a) - Skewness
• kurt(a) - Kurtosis
• corr(x, y) - Correlation between x and y
• entropy(p) - Entropy
• kldiv(p, q) - Kullback–Leibler divergence
• shuffle(a) - Shuffle using the Fisher–Yates shuffle
• sample(a) - Sample with replacement
• boot(nboot, bootfun, data...) - Bootstrap the bootfun statistic
• bootci(nboot, bootfun, data...) - Calculate bootstrap confidence intervals using the normal model
• randn() - Draw random sample from the standard normal distribution using the Marsaglia polar method

(c) 2014 Erik Rigtorp erik@rigtorp.se. MIT License