R Dataset / Package MASS / birthwt

How To Create a Barplot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Stacked Barplot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Pie Chart

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Compute the Mean

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Plot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How to Compute the Median

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Boxplot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Correlation Coefficient

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Cumulative Frequency Histogram

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Dotplot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Hollow Histogram

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Numerical Summaries

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Pie Chart

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Plot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Regression

Stem and Leaf Plots

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Visual Summaries

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.
Embed
<iframe src="https://embed.picostat.com/r-dataset-package-mass-birthwt.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-34016.csv 4.84 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the birthwt data set which pertains to Risk Factors Associated with Low Infant Birth Weight. The birthwt data set is found in the MASS R package. You can load the birthwt data set in R by issuing the following command at the console data("birthwt"). This will load the data into a variable called birthwt. If R says the birthwt data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data. 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 birthwt R data set. The size of this file is about 4,955 bytes.

Documentation

Risk Factors Associated with Low Infant Birth Weight

Description

The birthwt data frame has 189 rows and 10 columns. The data were collected at Baystate Medical Center, Springfield, Mass during 1986.

Usage

birthwt

Format

This data frame contains the following columns:

low

indicator of birth weight less than 2.5 kg.

age

mother's age in years.

lwt

mother's weight in pounds at last menstrual period.

race

mother's race (1 = white, 2 = black, 3 = other).

smoke

smoking status during pregnancy.

ptl

number of previous premature labours.

ht

history of hypertension.

ui

presence of uterine irritability.

ftv

number of physician visits during the first trimester.

bwt

birth weight in grams.

Source

Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

Examples

bwt <- with(birthwt, {
race <- factor(race, labels = c("white", "black", "other"))
ptd <- factor(ptl > 0)
ftv <- factor(ftv)
levels(ftv)[-(1:2)] <- "2+"
data.frame(low = factor(low), age, lwt, race, smoke = (smoke > 0),
           ptd, ht = (ht > 0), ui = (ui > 0), ftv)
})
options(contrasts = c("contr.treatment", "contr.poly"))
glm(low ~ ., binomial, bwt)
--

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

Recent Queries For This Dataset

No queries made on this dataset yet.