city_population_original

In contrast to city_population, this has some transcription errors from
the almanac, but it was used in published research, so it is provided for
reproducibility.

datasets

Implements various heuristics like Take The Best and
unit-weight linear, which do two-alternative choice: which of
two objects will have a higher criterion? Also offers functions
to assess performance, e.g. percent correct across all row pairs
in a data set and finding row pairs where models disagree.
New models can be added by implementing a fit and predict function--
see vignette. Take The Best was first described in: Gigerenzer, G.
& Goldstein, D. G. (1996) <doi:10.1037/0033-295X.103.4.650>. All
of these heuristics were run on many data sets and analyzed in:
Gigerenzer, G., Todd, P. M., & the ABC Group (1999).
<ISBN:978-0195143812>.

Jean Whitmore

heuristica

Heuristics Including Take the Best and Unit-Weight Linear

Daniel Barkoczi

city_population_original function

A data frame.<dl class="dl-horizontal">
 <dt>Name</dt><dd>Name of city</dd>
 <dt>Running_Number</dt><dd>Running Number</dd>
 <dt>Population</dt><dd>Population size</dd>
 <dt>Soccer_Team</dt><dd>1 indicates that the city has a soccer team, 0
 indicates that it does not.</dd>
 <dt>State_Capital</dt><dd>1 indicates that the city is a state capital, 0
 indicates that it is not.</dd>
 <dt>Former_East_Germany</dt><dd>1 indicates that the city belongs to former
 East Germany, 0 that is does not.</dd>
 <dt>Industrial_Belt</dt><dd>1 indicates that the city is an industrial belt,
 0 that it is not.</dd>
 <dt>Licence_Plate</dt><dd>1 indicates that the city has a licence plate, 0
 that it does not.</dd>
 <dt>Intercity_Trainline</dt><dd>1 indicates that an intercity trainline crosses
 the city, 0 that it does not.</dd>
 <dt>Exposition_Site</dt><dd>1 indicates that the city is an exposition size, 0
 that it is not.</dd>
 <dt>National_Capital</dt><dd>1 indicates that the city is the national capital,
 0 that it is not.</dd>
 <dt>University</dt><dd>1 indicates that the city has a University, 0 that it
 does not.</dd>
</dl>

Format

Original, uncorrected Population size of the 83 largest German cities. — city_population_original

A data frame.<dl class='dl-horizontal'>
 <dt>Name</dt><dd>Name of city</dd>
 <dt>Running_Number</dt><dd>Running Number</dd>
 <dt>Population</dt><dd>Population size</dd>
 <dt>Soccer_Team</dt><dd>1 indicates that the city has a soccer team, 0
 indicates that it does not.</dd>
 <dt>State_Capital</dt><dd>1 indicates that the city is a state capital, 0
 indicates that it is not.</dd>
 <dt>Former_East_Germany</dt><dd>1 indicates that the city belongs to former
 East Germany, 0 that is does not.</dd>
 <dt>Industrial_Belt</dt><dd>1 indicates that the city is an industrial belt,
 0 that it is not.</dd>
 <dt>Licence_Plate</dt><dd>1 indicates that the city has a licence plate, 0
 that it does not.</dd>
 <dt>Intercity_Trainline</dt><dd>1 indicates that an intercity trainline crosses
 the city, 0 that it does not.</dd>
 <dt>Exposition_Site</dt><dd>1 indicates that the city is an exposition size, 0
 that it is not.</dd>
 <dt>National_Capital</dt><dd>1 indicates that the city is the national capital,
 0 that it is not.</dd>
 <dt>University</dt><dd>1 indicates that the city has a University, 0 that it
 does not.</dd>
</dl>

city_population_original: Original, uncorrected Population size of the 83 largest German cities.

Description

Usage

Arguments

Format