R Dataset / Package pscl / bioChemists

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

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-pscl-biochemists.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-24904.csv 34.77 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 bioChemists data set which pertains to article production by graduate students in biochemistry Ph.D. programs. The bioChemists data set is found in the pscl R package. You can load the bioChemists data set in R by issuing the following command at the console data("bioChemists"). This will load the data into a variable called bioChemists. If R says the bioChemists data set is not found, you can try installing the package by issuing this command install.packages("pscl") 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 bioChemists R data set. The size of this file is about 35,601 bytes.

Documentation

article production by graduate students in biochemistry Ph.D. programs

Description

A sample of 915 biochemistry graduate students.

Usage

data(bioChemists)

Format

art

count of articles produced during last 3 years of Ph.D.

fem

factor indicating gender of student, with levels Men and Women

mar

factor indicating marital status of student, with levels Single and Married

kid5

number of children aged 5 or younger

phd

prestige of Ph.D. department

ment

count of articles produced by Ph.D. mentor during last 3 years

References

Long, J. Scott. 1990. The origins of sex differences in science. Social Forces. 68(3):1297-1316.

Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, California: Sage.

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

R Output Date
Picostat Output - Boxplot Jun 10, 2019