uncertain_mtcars

This dataset is identical to the mtcars data, except that every variable in the data set
is represented by a categorical, discrete, or continuous random variable. The
original `mtcars` dataset in datasets is based on real data extracted from the 1974 Motor Trend US
magazine, but the uncertainty we added is hypothetical and included for illustrative purposes.

A 'ggplot2' extension for visualising uncertainty with the goal
of signal suppression. Usually, uncertainty visualisation focuses on
expressing uncertainty as a distribution or probability, whereas
'ggdibbler' differentiates itself by viewing an uncertainty
visualisation as an adjustment to an existing graphic that
incorporates the inherent uncertainty in the estimates.  You provide
the code for an existing plot, but replace any of the variables with a
vector of distributions, and it will convert the visualisation into
it's signal suppression counterpart.

Harriet Mason

ggdibbler

Add Uncertainty to Data Visualisations

Dianne Cook

Sarah Goodwin

Susan VanderPlas

uncertain_mtcars function

A data frame with 32 observations and 11 variables:<dl>
 <dt>mpg</dt>
<dd>Uniform random variable - Miles/(US) gallon as</dd> <dt>cyl</dt>
<dd>Categorical random variable - Number of cylinders</dd> <dt>disp</dt>
<dd>Uniform random variable - Displacement (cu.in.)</dd> <dt>hp</dt>
<dd>Normal random variable - Gross horsepower</dd> <dt>drat</dt>
<dd>Uniform random variable - Rear axle ratio</dd> <dt>wt</dt>
<dd>Uniform random variable - Weight (1000 lbs)</dd> <dt>qsec</dt>
<dd>Uniform random variable - 1/4 mile time</dd> <dt>vs</dt>
<dd>Bernouli random variable - Engine (0 = V-shaped, 1 = straight)</dd> <dt>am</dt>
<dd>Bernouli random variable - Transmission (0 = automatic, 1 = manual)</dd> <dt>gear</dt>
<dd>Categorical random variable - Number of forward gears</dd> <dt>carb</dt>
<dd>Categorical random variable- Number of carburetors</dd>
</dl>

Format

An uncertain version of the mtcars data from base R `datasets` — uncertain_mtcars

A data frame with 32 observations and 11 variables:<dl>
 <dt>mpg</dt>
<dd>Uniform random variable - Miles/(US) gallon as</dd>

 <dt>cyl</dt>
<dd>Categorical random variable - Number of cylinders</dd>

 <dt>disp</dt>
<dd>Uniform random variable - Displacement (cu.in.)</dd>

 <dt>hp</dt>
<dd>Normal random variable - Gross horsepower</dd>

 <dt>drat</dt>
<dd>Uniform random variable - Rear axle ratio</dd>

 <dt>wt</dt>
<dd>Uniform random variable - Weight (1000 lbs)</dd>

 <dt>qsec</dt>
<dd>Uniform random variable - 1/4 mile time</dd>

 <dt>vs</dt>
<dd>Bernouli random variable - Engine (0 = V-shaped, 1 = straight)</dd>

 <dt>am</dt>
<dd>Bernouli random variable - Transmission (0 = automatic, 1 = manual)</dd>

 <dt>gear</dt>
<dd>Categorical random variable - Number of forward gears</dd>

 <dt>carb</dt>
<dd>Categorical random variable- Number of carburetors</dd>


</dl>

uncertain_mtcars: An uncertain version of the mtcars data from base R `datasets`

Description

Arguments

Format