R Dataset / Package boot / downs.bc

On this R-data statistics page, you will find information about the downs.bc data set which pertains to Incidence of Down's Syndrome in British Columbia. The downs.bc data set is found in the boot R package. You can load the downs.bc data set in R by issuing the following command at the console data("downs.bc"). This will load the data into a variable called downs.bc. If R says the downs.bc data set is not found, you can try installing the package by issuing this command install.packages("boot") 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 downs.bc R data set. The size of this file is about 411 bytes.

Incidence of Down's Syndrome in British Columbia

Description

The downs.bc data frame has 30 rows and 3 columns.

Down's syndrome is a genetic disorder caused by an extra chromosome 21 or a part of chromosome 21 being translocated to another chromosome. The incidence of Down's syndrome is highly dependent on the mother's age and rises sharply after age 30. In the 1960's a large scale study of the effect of maternal age on the incidence of Down's syndrome was conducted at the British Columbia Health Surveillance Registry. These are the data which was collected in that study.

Mothers were classified by age. Most groups correspond to the age in years but the first group comprises all mothers with ages in the range 15-17 and the last is those with ages 46-49. No data for mothers over 50 or below 15 were collected.

Usage

downs.bc

Format

This data frame contains the following columns:

age

The average age of all mothers in the age category.

m

The total number of live births to mothers in the age category.

r

The number of cases of Down's syndrome.

Source

The data were obtained from

Geyer, C.J. (1991) Constrained maximum likelihood exemplified by isotonic convex logistic regression. Journal of the American Statistical Association, 86, 717–724.

References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

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

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