Crimean: Florence Nightingale's data on deaths from various causes in...

In jhmaindonald/DAAGviz: Functions, Data and Vignettes for R Tutorials

Description

See the help page for the dataset Nightongale in the HistData package.

Usage

data(Crimean)

Format

A data frame with 72 observations on the following 4 variables.

Date

an ordered factor with levels Apr 54 < May 54 < Jun 54 < Jul 54 < Aug 54 < Sep 54 < Oct 54 < Nov 54 < Dec 54 < Jan 55 < Feb 55 < Mar 55 < Apr 55 < May 55 < Jun 55 < Jul 55 < Aug 55 < Sep 55 < Oct 55 < Nov 55 < Dec 55 < Jan 56 < Feb 56 < Mar 56

Cause

a factor with levels Disease Other Wounds

Deaths

Annualized rate of deaths, per 1000

Regime

an ordered factor with levels Before < After

, i.e., before and after March 1855.

Details

This dataset reformats data from the dataset Nightingale in the HistData package. For a given cause of death, D, annual rates per 1000 are calculated as 12 * 1000 * D / Army, rounded to 1 decimal.

The two panels of Nightingale's Coxcomb correspond to dates before and after March 1855.

Source

The data were obtained from:

Pearson, M. and Short, I. (2007). Understanding Uncertainty: Mathematics of the Coxcomb. http://understandinguncertainty.org/node/214.

References

See additional references on the help page for the dataset Nightingale in the HistData package.

Examples

data(Crimean)
## maybe str(Crimean) ; plot(Crimean) ...

jhmaindonald/DAAGviz documentation built on July 9, 2019, 2:47 a.m.