R Dataset / Package lattice / melanoma

On this R-data statistics page, you will find information about the melanoma data set which pertains to Melanoma skin cancer incidence . The melanoma data set is found in the lattice R package. You can load the melanoma data set in R by issuing the following command at the console data("melanoma"). This will load the data into a variable called melanoma. If R says the melanoma data set is not found, you can try installing the package by issuing this command install.packages("lattice") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the melanoma R data set. The size of this file is about 350 bytes.

Melanoma skin cancer incidence

Description

These data from the Connecticut Tumor Registry present age-adjusted numbers of melanoma skin-cancer incidences per 100,000 people in Connectict for the years from 1936 to 1972.

Usage

melanoma

Format

A data frame with 37 observations on the following 2 variables.

year: Years 1936 to 1972.
incidence: Rate of melanoma cancer per 100,000 population.

Note

This dataset is not related to the melanoma dataset in the boot package with the same name.

The S-PLUS 6.2 help for the melanoma data says that the incidence rate is per million, but this is not consistent with data found at the National Cancer Institute (http://www.nci.nih.gov).

Author(s)

Documentation contributed by Kevin Wright.

Source

Houghton, A., E. W. Munster, and M. V. Viola. (1978). Increased Incidence of Malignant Melanoma After Peaks of Sunspot Activity. The Lancet, 8, 759–760.

References

Cleveland, William S. (1993) Visualizing Data. Hobart Press, Summit, New Jersey.

Examples

# Time-series plot.Figure 3.64 from Cleveland.
xyplot(incidence ~ year,
data = melanoma,
aspect = "xy",
panel = function(x, y)
panel.xyplot(x, y, type="o", pch = 16),
ylim = c(0, 6),
xlab = "Year",
ylab = "Incidence")

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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