ContractCase HTTP plugin CaseExample definition DSL
Definition DSL components for the ContractCase contract testing suite
Types for writing the definition DSL for plugins for the ContractCase test framework
ContractCase core function plugin DSL
RPC configuration for Frequency for use with Polkadotjs API
Plugin framework for writing plugins for the ContractCase test framework
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.
Tiny internal DSL which allows invocation of different functionality depending on SemVer match.
Default linter plugin for oas-validator
Automated stream rotation useful for log files
Javascript implementation of ANTLR Grammar for the OpenFGA DSL and parser from and to the OpenFGA JSON Syntax
A transport for winston which logs to a rotating file each day.
A JavaScript implementation of the elasticsearch Query DSL
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
Generates ADF and PM schemas
An elasticsearch query body builder.
List of CSS frequency units.
Legend extension for Diagram DSL
Legend extension for Data Space DSL
Liyad (Lisp yet another DSL interpreter) is very small Lisp interpreter written in JavaScript.
Legend extension for Text DSL
Legend extension for Persistence DSL
types library for prisma-schema-dsl
A module to analyze multiple seqs (information content, frequency, ...)
Frequency is a small DSL written in Ruby to work with frequency events (never, sometimes, always, ...).
Easy Attributes is a Ruby DSL to give more control to attributes. It provides a unique attribute enum setup, and conversions to bytes and float-as-integer (money, frequencies, Ratings, etc.) / fixed-decimal precision as integer (See the easy_money gem).
rails-persona lets you track, query, and understand how users interact with your app directly from your Rails models. Define trackable actions with a clean DSL, then query frequency, recency, inactivity, and full activity logs — all stored in your own database.
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.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None