R Dataset / Package DAAG / wages1833

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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Stem and Leaf Plots

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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-daag-wages1833.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-37624.csv 916 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the wages1833 data set which pertains to Wages of Lancashire Cotton Factory Workers in 1833. The wages1833 data set is found in the DAAG R package. You can load the wages1833 data set in R by issuing the following command at the console data("wages1833"). This will load the data into a variable called wages1833. If R says the wages1833 data set is not found, you can try installing the package by issuing this command install.packages("DAAG") 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 wages1833 R data set. The size of this file is about 916 bytes.


Wages of Lancashire Cotton Factory Workers in 1833

Description

The wages1833 data frame gives the wages of Lancashire cotton factory workers in 1833.

Usage

wages1833

Format

This data frame contains the following columns:

age

age in years

mnum

number of male workers

mwage

average wage of male workers

fnum

number of female workers

fwage

average wage of female workers

Source

Boot, H.M. 1995. How Skilled Were the Lancashire Cotton Factory Workers in 1833? Economic History Review 48: 283-303.

Examples

attach(wages1833)
plot(mwage~age,ylim=range(c(mwage,fwage[fwage>0])))
points(fwage[fwage>0]~age[fwage>0],pch=15,col="red")
lines(lowess(age,mwage))
lines(lowess(age[fwage>0],fwage[fwage>0]),col="red")

--

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