R Dataset / Package robustbase / airmay

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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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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Ratio

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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-robustbase-airmay.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-72166.csv 442 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 airmay data set which pertains to Air Quality Data. The airmay data set is found in the robustbase R package. Try to load the airmay data set in R by issuing the following command at the console data("airmay"). This may load the data into a variable called airmay. If R says the airmay 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("airmay"). 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 airmay 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 airmay R data set. The size of this file is about 442 bytes.


Air Quality Data

Description

Air Quality Data Set for May 1973, from Chambers et al. (1983). The whole data set consists of daily readings of air quality values from May 1, 1973 to September 30, 1973, but here are included only the values for May. This data set is an example of the special treatment of the missing values.

Usage

data(airmay)

Format

A data frame with 31 observations on the following 4 variables.

X1

Solar Radiation in Longleys in the frequency band 4000-7700 from 0800 to 1200 hours at Central Park

X2

Average windspeed (in miles per hour) between 7000 and 1000 hours at La Guardia Airport

X3

Maximum daily temperature (in degrees Fahrenheit) at La Guardia Airport

Y

Mean ozone concentration (in parts per billion) from 1300 to 1500 hours at Roosevelt Island

Source

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, p.86, table 6.

Examples

data(airmay)
summary(lm.airmay <- lm(Y ~ ., data=airmay))
airmay.x <- data.matrix(airmay[,1:3])
--

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