will_paginate provides a simple API for performing paginated queries with Active Record, DataMapper and Sequel, and includes helpers for rendering pagination links in Rails, Sinatra, Hanami, and Merb web apps.
The client streamlines access to the services provided by <https://api.openrouteservice.org>. It allows you to painlessly query for directions, isochrones, time-distance matrices, geocoding, elevation, points of interest, and more.
Experiment data package. The set were prepared using microarray images of human mesenchymal cells treated with various supplements. This package is intended to provide example data to test functionality provided by blima.
This package was automatically created by package AnnotationForge
version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was DrosGenome1\_probe\_tab
.
This package was automatically created by package AnnotationForge
version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Drosophila\_2\_probe\_tab.
This package was automatically created by package AnnotationForge
version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was X\_tropicalis\_probe\_tab.
Python nose-random is designed to facilitate Monte-Carlo style unit testing. The idea is to improve testing by running your code against a large number of randomly generated input scenarios.
Find out about keys that are ignored when deserializing data. This crate provides a wrapper that works with any existing Serde Deserializer
and invokes a callback on every ignored field.
The randomwalk
package provides a user command, \RandomWalk
, to draw random walks with a given number of steps. Lengths and angles of the steps can be customized in various ways.
The main aim of this package is to work on lists, especially with random operations. The hidden aim is to build a personal collection of exercises with different data for each pupil.
Translating mature miRNA
names to different miRBase
versions, sequence retrieval, checking names for validity and detecting miRBase
version of a given set of names (data from http://www.mirbase.org/).
An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Generation of a chosen number of count, binary, ordinal, and continuous random variables, with specified correlations and marginal properties. The details of the method are explained in Demirtas (2012) <DOI:10.1002/sim.5362>.
Identifies individuals in a social network who should be the intervention subjects for a network intervention in which you have a group of targets, a group of avoiders, and a group that is neither.
This package was automatically created by package AnnotationForge
version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HG-U133\_Plus\_2\_probe\_tab.
This package provides a native Rust encoder and decoder of TOML-formatted files and streams. Provides implementations of the standard Serialize/Deserialize traits for TOML data to facilitate deserializing and serializing Rust structures.
This package provides a Python library that is an implementation of traditional readability measures based on simple surface characteristics. These measures are basically linear regressions based on the number of words, syllables, and sentences.
This package provides functions for clustering regions that form convergence clubs, according to the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package description is available in Sichera and Pizzuto (2019).
Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of Transformed Kinships (MTK), measures that can indicate a subset would be beneficial for rare-trait discovery and genome-wide association scanning, respectively.
This is a supplemental data package for the plotgardener package. Includes example datasets used in plotgardener vignettes and example raw data files. For details on how to use these datasets, see the plotgardener package vignettes.
Benchmark-ips enhances the Ruby Benchmark module with the iterations per second count. For short snippets of code, it can automatically figure out how many times to run the code to get interesting data.
The recipecard
class typesets recipes into note card sized boxes that can then be cut out and pasted on to note cards. The recipe then looks elegant and fits in the box of recipes.
This package provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.