R Dataset / Package sandwich / PublicSchools

How To Create a Barplot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Stacked Barplot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Pie Chart

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Compute the Mean

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How To Create a Plot

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

How to Compute the Median

Webform
The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Boxplot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Correlation Coefficient

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Cumulative Frequency Histogram

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Dotplot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Hollow Histogram

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Numerical Summaries

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Pie Chart

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Plot

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Regression

Stem and Leaf Plots

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Visual Summaries

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.
Embed
<iframe src="https://embed.picostat.com/r-dataset-package-sandwich-publicschools.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-12311.csv 969 bytes
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 PublicSchools data set which pertains to US Expenditures for Public Schools. The PublicSchools data set is found in the sandwich R package. You can load the PublicSchools data set in R by issuing the following command at the console data("PublicSchools"). This will load the data into a variable called PublicSchools. If R says the PublicSchools data set is not found, you can try installing the package by issuing this command install.packages("sandwich") 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 PublicSchools R data set. The size of this file is about 969 bytes.

Documentation

US Expenditures for Public Schools

Description

Per capita expenditure on public schools and per capita income by state in 1979.

Usage

data(PublicSchools)

Format

A data frame containing 51 observations of 2 variables.

Expenditure

per capita expenditure on public schools,

Income

per capita income.

Source

Table 14.1 in Greene (1993)

References

Cribari-Neto F. (2004), Asymptotic Inference Under Heteroskedasticity of Unknown Form, Computational Statistics \& Data Analysis, 45, 215-233.

Greene W.H. (1993), Econometric Analysis, 2nd edition. Macmillan Publishing Company, New York.

US Department of Commerce (1979), Statistical Abstract of the United States. US Government Printing Office, Washington, DC.

Examples

## Willam H. Greene, Econometric Analysis, 2nd Ed.
## Chapter 14
## load data set, p. 385, Table 14.1
data(PublicSchools)## omit NA in Wisconsin and scale income
ps <- na.omit(PublicSchools)
ps$Income <- ps$Income * 0.0001## fit quadratic regression, p. 385, Table 14.2
fmq <- lm(Expenditure ~ Income + I(Income^2), data = ps)
summary(fmq)## compare standard and HC0 standard errors
## p. 391, Table 14.3
library(sandwich)
coef(fmq)
sqrt(diag(vcovHC(fmq, type = "const")))
sqrt(diag(vcovHC(fmq, type = "HC0")))
if(require(lmtest)) {
## compare t ratio
coeftest(fmq, vcov = vcovHC(fmq, type = "HC0"))## White test, p. 393, Example 14.5
wt <- lm(residuals(fmq)^2 ~ poly(Income, 4), data = ps)
wt.stat <- summary(wt)$r.squared * nrow(ps)
c(wt.stat, pchisq(wt.stat, df = 3, lower = FALSE))## Bresch-Pagan test, p. 395, Example 14.7
bptest(fmq, studentize = FALSE)
bptest(fmq)## Francisco Cribari-Neto, Asymptotic Inference, CSDA 45
## quasi z-tests, p. 229, Table 8
## with Alaska
coeftest(fmq, df = Inf)[3,4]
coeftest(fmq, df = Inf, vcov = vcovHC(fmq, type = "HC0"))[3,4]
coeftest(fmq, df = Inf, vcov = vcovHC(fmq, type = "HC3"))[3,4]
coeftest(fmq, df = Inf, vcov = vcovHC(fmq, type = "HC4"))[3,4]
## without Alaska (observation 2)
fmq1 <- lm(Expenditure ~ Income + I(Income^2), data = ps[-2,])
coeftest(fmq1, df = Inf)[3,4]
coeftest(fmq1, df = Inf, vcov = vcovHC(fmq1, type = "HC0"))[3,4]
coeftest(fmq1, df = Inf, vcov = vcovHC(fmq1, type = "HC3"))[3,4]
coeftest(fmq1, df = Inf, vcov = vcovHC(fmq1, type = "HC4"))[3,4]
}## visualization, p. 230, Figure 1
plot(Expenditure ~ Income, data = ps,
  xlab = "per capita income",
  ylab = "per capita spending on public schools")
inc <- seq(0.5, 1.2, by = 0.001)
lines(inc, predict(fmq, data.frame(Income = inc)), col = 4)
fml <- lm(Expenditure ~ Income, data = ps)
abline(fml)
text(ps[2,2], ps[2,1], rownames(ps)[2], pos = 2)
--

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

Recent Queries For This Dataset

No queries made on this dataset yet.