R Dataset / Package robustbase / education

How To Create a Barplot

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Visual
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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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Numerical
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How To Create a Plot

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How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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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Ratio

Submitted by pmagunia on December 18, 2021 - 4:28 PM

Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-robustbase-education.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-59020.csv 1.21 KB
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 education data set which pertains to Education Expenditure Data. The education data set is found in the robustbase R package. Try to load the education data set in R by issuing the following command at the console data("education"). This may load the data into a variable called education. If R says the education data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data with library("robustbase") followed by data("education"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing education at the command-line which should display the entire dataset.

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 education R data set. The size of this file is about 1,236 bytes.


Education Expenditure Data

Description

Education Expenditure Data, from Chatterjee and Price (1977, p.108). This data set, representing the education expenditure variables in the 50 US states, providing an interesting example of heteroscedacity.

Usage

data(education)

Format

A data frame with 50 observations on the following 6 variables.

State

State

Region

Region (1=Northeastern, 2=North central, 3=Southern, 4=Western)

X1

Number of residents per thousand residing in urban areas in 1970

X2

Per capita personal income in 1973

X3

Number of residents per thousand under 18 years of age in 1974

Y

Per capita expenditure on public education in a state, projected for 1975

Source

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, p.110, table 16.

Examples

data(education)
education.x <- data.matrix(education[, 3:5])
summary(lm.education <- lm(Y ~ Region + X1+X2+X3, data=education))
## See  example(lmrob.M.S) # for how robust regression is used

--

Dataset imported from https://www.r-project.org.
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How To Perform Statistical Analysis with Picostat
  1. Go to any dataset homepage. You can get a full list at the dashboard.
  2. Near the top of the page there will be two drop downs. One for analysis and one for education. Here we will choose Analyis. Choose from one of the following:
    • Numerical Summaries - Here you can get the:
      1. Arithmetic mean
      2. Median
      3. Quartiles
      4. Minimum and Maximum
      5. Stem-and-leaf plot
      6. Standard deviation and Variance
      7. IQR
      8. Cumulative frequencies
    • Plot - a plot of two columns on the cartesian coordinate system
    • Boxplot - a Boxplot (box-and-whisker plot) of a column.
    • Correlation Coefficient - Compute the correlation coefficient between two columns.
    • Cumulative Frequency Histogram - Display a cumulative frequency histogram
    • Dotplot
    • Hollow Histogram - Plot two columns on the same histogram with a different color for each column.
    • Pie Chart
    • Regression - Perform a simple linear regression and compute the p-value and regression line. Also plots the data with the regression line.
    • Stem and Leaf Plots - Plot a one or two-sided stem-and-leaf plot from one or two columns respectively.
    • Visual Summaries - plots the following:
      1. Frequency Histogram
      2. Relative Frequency Histogram
      3. Cumulative Frequency Histogram
      4. Boxplot (Box-and-whisker plot)
      5. Dotplot
  3. PDF - Check this box if you want to download a PDF of the output from the statistical analysis application.
  4. HTML - Check this box if you want a link to the HTML page created with the application.
  5. R File - Check this box if you want a link to download the R commands used to generate output from this statistical application. You should be able to copy the commands verbatim into R Studio or R to recreate the analysis.
How To Use Educational Applications with Picostat
  1. Go to any dataset homepage. You can get a full list at the dashboard.
  2. Near the top of the page there will be two drop downs. One for analysis and one for education. Here we will choose Education. Choose from one of the following:
    • How To Create a Barplot - This will show you how to create a bar chart after selecting a column with the mouse.
    • How To Create a Stacked Barplot - This application will show you how to create a stacked bar plot from a column vector.
    • How To Create a Pie Chart - This application will show you how to create a pie chart from a column of data
    • How To Compute the Mean - This application will show you how to compute the mean from a column vector
    • How To Create a Plot - This app will show you how to plot two columns in the cartesian coordinate system.
    • How To Compute the Media - This statisistical app will show you how to compute the median from a column vector.
  3. PDF - Check this box if you want to download a PDF of the output from the education application.
  4. HTML - Check this box if you want a link to the HTML page created with the application.
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