0.2.1 • Published 2 months ago

@stdlib/datasets-fivethirtyeight-ffq v0.2.1

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License
Apache-2.0
Repository
github
Last release
2 months ago

FiveThirtyEight Food Frequency Questionnaire

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FiveThirtyEight reader responses to a food frequency questionnaire (FFQ).

Installation

npm install @stdlib/datasets-fivethirtyeight-ffq

Usage

var dataset = require( '@stdlib/datasets-fivethirtyeight-ffq' );

dataset()

Returns FiveThirtyEight reader responses to a food frequency questionnaire (FFQ).

var data = dataset();
// returns [ {...}, ... ]

Notes

  • The administered food frequency questionnaire (FFQ) was the proprietary Block FFQ.

Examples

var bifurcateBy = require( '@stdlib/utils-bifurcate-by' );
var inmap = require( '@stdlib/utils-inmap' );
var ttest2 = require( '@stdlib/stats-ttest2' );
var dataset = require( '@stdlib/datasets-fivethirtyeight-ffq' );

function predicate( v ) {
    return ( v.diabetes === 1 );
}

function createAccessor( field ) {
    return accessor;

    function accessor( v ) {
        return v[ field ];
    }
}

// Retrieve the data:
var data = dataset();

// Split the data into two groups based on whether a respondent has diabetes:
var groups = bifurcateBy( data, predicate );

// For each group, extract the frequency of green salad consumption:
var mapFcn = createAccessor( 'greensaladfreq' );
var g1 = inmap( groups[ 0 ].slice(), mapFcn );
var g2 = inmap( groups[ 1 ].slice(), mapFcn );

// Perform a two-sample two-sided Student's t-test to determine if green salad consumption is different between the two groups:
var results = ttest2( g1, g2 );
console.log( results.print() );

References

License

The data files (databases) are licensed under an Open Data Commons Attribution 1.0 License and their contents are licensed under a Creative Commons Attribution 4.0 International Public License. The original dataset is attributed to FiveThirtyEight and can be found here. The software is licensed under Apache License, Version 2.0.

See Also


Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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