zero_range

The machine epsilon is the difference between 1.0 and the next number
that can be represented by the machine. By default, this function
uses epsilon * 1000 as the tolerance. First it scales the values so that
they have a mean of 1, and then it checks if the difference between
them is larger than the tolerance.

internal

Provides convenience functions for common data
modification and analysis tasks in communication research. This
includes functions for univariate and bivariate data analysis, index
generation and reliability computation, and intercoder reliability
tests. All functions follow the style and syntax of the tidyverse, and
are construed to perform their computations on multiple variables at
once. Functions for univariate and bivariate data analysis comprise
summary statistics for continuous and categorical variables, as well
as several tests of bivariate association including effect sizes.
Functions for data modification comprise index generation and
automated reliability analysis of index variables. Functions for
intercoder reliability comprise tests of several intercoder
reliability estimates, including simple and mean pairwise percent
agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN:
9780761915454), and various Kappa coefficients (Brennan & Prediger
1981 <doi: 10.1177/001316448104100307>; Cohen 1960 <doi:
10.1177/001316446002000104>; Fleiss 1971 <doi: 10.1037/h0031619>).

Julian Unkel

tidycomm

Data Modification and Analysis for Communication Research

Mario Haim

Lara Kobilke

zero_range function

<dl><dt>x</dt>
<dd>numeric range: vector of length 2</dd>
<dt>tol</dt>
<dd>A value specifying the tolerance.</dd></dl>

Arguments

Determine if range of vector is close to zero, with a specified tolerance — zero_range

<dl>

<dt>x</dt>
<dd>numeric range: vector of length 2</dd>


<dt>tol</dt>
<dd>A value specifying the tolerance.</dd>

</dl>

Last chance! 50% off unlimited learning

zero_range: Determine if range of vector is close to zero, with a specified tolerance

Description

Usage

Value

Arguments