R Dataset / Package car / SLID

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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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-car-slid.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-67006.csv 202.83 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 SLID data set which pertains to Survey of Labour and Income Dynamics. The SLID data set is found in the car R package. You can load the SLID data set in R by issuing the following command at the console data("SLID"). This will load the data into a variable called SLID. If R says the SLID data set is not found, you can try installing the package by issuing this command install.packages("car") 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 SLID R data set. The size of this file is about 207,702 bytes.

Documentation

Survey of Labour and Income Dynamics

Description

The SLID data frame has 7425 rows and 5 columns. The data are from the 1994 wave of the Canadian Survey of Labour and Income Dynamics, for the province of Ontario. There are missing data, particularly for wages.

Usage

SLID

Format

This data frame contains the following columns:

wages

Composite hourly wage rate from all jobs.

education

Number of years of schooling.

age

in years.

sex

A factor with levels: Female, Male.

language

A factor with levels: English, French, Other.

Source

The data are taken from the public-use dataset made available by Statistics Canada, and prepared by the Institute for Social Research, York University.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

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

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