R Dataset / Package gap / mfblong

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

Stem and Leaf Plots

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-gap-mfblong.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-60510.csv 93.54 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 mfblong data set which pertains to Example data for ACEnucfam. The mfblong data set is found in the gap R package. You can load the mfblong data set in R by issuing the following command at the console data("mfblong"). This will load the data into a variable called mfblong. If R says the mfblong data set is not found, you can try installing the package by issuing this command install.packages("gap") 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 mfblong R data set. The size of this file is about 95,781 bytes.

Documentation

Example data for ACEnucfam

Description

This is the companion data for ACEnucfam.

Usage

data(mfblong)

Format

The data is a random subset of the birth weight data from the mental health registry of Norway.

male-a dummy variable for being male; first-a dummy variable for being the first child; midage-a dummy variable for mother aged 20-35 at time of birth; highage-a dummy variable for mother older than 35 at time of birth and birthyr-year of birth minus 1967 (earliest birth year in birth registry).

Source

The data were obtained from the Biometrics website and preprocessed with f.mfb.R.

References

Rabe-Hesketh S, Skrondal A, Gjessing HK. Biometrical modeling of twin and family data using standard mixed model software. Biometrics 2008, 64:280-288

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

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