R Dataset / Package robustbase / aircraft

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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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-aircraft.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-30317.csv 584 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 aircraft data set which pertains to Aircraft Data. The aircraft data set is found in the robustbase R package. Try to load the aircraft data set in R by issuing the following command at the console data("aircraft"). This may load the data into a variable called aircraft. If R says the aircraft 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("aircraft"). 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 aircraft 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 aircraft R data set. The size of this file is about 584 bytes.


Aircraft Data

Description

Aircraft Data, deals with 23 single-engine aircraft built over the years 1947-1979, from Office of Naval Research. The dependent variable is cost (in units of \$100,000) and the explanatory variables are aspect ratio, lift-to-drag ratio, weight of plane (in pounds) and maximal thrust.

Usage

data(aircraft)

Format

A data frame with 23 observations on the following 5 variables.

X1

Aspect Ratio

X2

Lift-to-Drag Ratio

X3

Weight

X4

Thrust

Y

Cost

Source

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, page 154, table 22.

Examples

data(aircraft)
summary( lm.airc <-        lm(Y ~ ., data = aircraft))
summary(rlm.airc <- MASS::rlm(Y ~ ., data = aircraft))aircraft.x <- data.matrix(aircraft[,1:4])
c_air <- covMcd(aircraft.x)
c_air

--

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