A map of each musical note to its frequency
Generate frequency map from array of strings.
Generate a weighted random function from a frequency map.
RPC configuration for Frequency for use with Polkadotjs API
Generates and consumes source maps
Generates and consumes source maps
Quadrat analysis lays a set of equal-size areas(quadrat) over the study area and counts the number of features in each quadrat and creates a frequency table.
This tool can find the frequencies of any note.
Fixes stack traces for files with source maps
Store information about any JS value in a side channel, using a Map
concatenative mapdashery
Is this value a JS Map? This module works cross-realm/iframe, and despite ES6 @@toStringTag.
Fixes stack traces for files with source maps
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Persistent ordered mapping from strings
Automated stream rotation useful for log files
Converts a source-map from/to different formats and allows adding/changing properties.
[Experimental] - 🚇 File crawling, watching and mapping for Metro
Analyze text against a word-frequency map: find rarest words, unknown words, and table data.
Generate source maps
extracts inlined source map and offers it to webpack
Automatically cleanup expired items in a Map
Map and Set with automatic key interning
Packages @jridgewell/trace-mapping and @jridgewell/gen-mapping into the familiar source-map API
Generate frequency maps using mongodb aggregations
Simplified tokenization, stemming, and term-frequency map indexes
A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.
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No description provided.