Movies

The data concerns a sample of 1000 Movies which were on screens in France and come of their characteristics.

datasets

Contains functions for 'specific' Multiple Correspondence Analysis,
Class Specific Analysis, Multiple Factor Analysis, 'standardized' MCA, computing and plotting structuring factors and concentration ellipses,
inductive tests and others tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>). It also provides functions
for the translation of logit models coefficients into percentages (Deauvieau (2010) <doi:10.1177/0759106309352586>), weighted contingency tables, an association
measure for contingency tables ("Percentages of Maximum Deviation from Independence", aka PEM, see Cibois (1993) <doi:10.1177/075910639304000103>) and some tools to measure
and plot bivariate associations between variables
(phi, Cram<c3><a9>r V, correlation coefficient, eta-squared...).

Nicolas Robette

GDAtools

A Toolbox for Geometric Data Analysis and More

Movies function

A data frame with 1000 observations and the following 7 variables:<dl class="dl-horizontal">
 <dt><code>Budget</code></dt><dd>numeric vector of movie budgets</dd>
 <dt><code>Genre</code></dt><dd>is a factor with 9 levels</dd>
 <dt><code>Country</code></dt><dd>is a factor with 4 level. Country of origin of the movie.</dd>
 <dt><code>ArtHouse</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>. Whether the movie had the "Art House" label.</dd>
 <dt><code>Festival</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>. Whether the movie was selected in Cannes, Berlin or Venise film festivals.</dd>
 <dt><code>Critics</code></dt><dd>numeric vector of average ratings from intellectual criticism.</dd>
 <dt><code>BoxOffice</code></dt><dd>numeric vector of number of admissions.</dd>
</dl>

Format

Movies (data) — Movies

A data frame with 1000 observations and the following 7 variables:<dl class='dl-horizontal'>
 <dt><code>Budget</code></dt><dd>numeric vector of movie budgets</dd>
 <dt><code>Genre</code></dt><dd>is a factor with 9 levels</dd>
 <dt><code>Country</code></dt><dd>is a factor with 4 level. Country of origin of the movie.</dd>
 <dt><code>ArtHouse</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>. Whether the movie had the "Art House" label.</dd>
 <dt><code>Festival</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>. Whether the movie was selected in Cannes, Berlin or Venise film festivals.</dd>
 <dt><code>Critics</code></dt><dd>numeric vector of average ratings from intellectual criticism.</dd>
 <dt><code>BoxOffice</code></dt><dd>numeric vector of number of admissions.</dd>
</dl>

Movies: Movies (data)

Description

Usage

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Examples