R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 8 of 8 found.
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stork (Package: TeachingDemos) :

Data invented by Neyman to look at spurious correlations and adjusting for lurking variables by looking at the relationship between storks and biths.

● Data Source: CranContrib
● Keywords: datasets
● Alias: stork
● 0 images

coin.faces (Package: TeachingDemos) : Designs for coin faces for use with plot.rgl.coin

This is a list of matricies where each matrix represents a design for drawing lines on the face of a coin.

● Data Source: CranContrib
● Keywords: datasets
● Alias: coin.faces
● 0 images

USCrimes (Package: TeachingDemos) :

This is a 3 dimensional Array of the US crime statistics downloaded from the "Uniform Crime Reporting Statistics" of the US government. It comprises the years 1960 through 2010 for all 50 states, Washington DC, and a total for the country.

● Data Source: CranContrib
● Keywords: datasets
● Alias: USCrimes
● 0 images

steps (Package: TeachingDemos) :

This is the export from a pedometer worn for nearly about 11 months by the package author.

● Data Source: CranContrib
● Keywords: datasets
● Alias: steps
● 0 images

evap (Package: TeachingDemos) :

Data from 46 consecutive days on weather variables used to estimate amount of evaporation from the soil.

● Data Source: CranContrib
● Keywords: datasets
● Alias: evap
● 0 images

ldsgrowth (Package: TeachingDemos) :

Data on the Growth of The Church of Jesus Christ of Latter-day Saints (commonly known as the Mormon church (http://www.mormon.org)).

● Data Source: CranContrib
● Keywords: datasets
● Alias: ldsgrowth
● 0 images

towork (Package: TeachingDemos) : Sample data downloaded and converted from a GPS unit

These are GPS information from 3 trips.

● Data Source: CranContrib
● Keywords: datasets
● Alias: ccc, h2h, towork
● 0 images

outliers (Package: TeachingDemos) :

This dataset is approximately bell shaped, but with some outliers. It is meant to be used for demonstration purposes. If students are tempted to throw out all outliers, then have them work with this data (or use a scaled/centered/shuffled version as errors in a regression problem) and see how many throw away 3/4 of the data before rethinking their strategy.

● Data Source: CranContrib
● Keywords: datasets
● Alias: outliers
● 0 images