R Dataset / Package robustbase / delivery

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

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Regression

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Stem and Leaf Plots

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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-delivery.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-64222.csv 313 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 delivery data set which pertains to Delivery Time Data. The delivery data set is found in the robustbase R package. Try to load the delivery data set in R by issuing the following command at the console data("delivery"). This may load the data into a variable called delivery. If R says the delivery 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("delivery"). 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 delivery 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 delivery R data set. The size of this file is about 313 bytes.


Delivery Time Data

Description

Delivery Time Data, from Montgomery and Peck (1982). The aim is to explain the time required to service a vending machine (Y) by means of the number of products stocked (X1) and the distance walked by the route driver (X2).

Usage

data(delivery)

Format

A data frame with 25 observations on the following 3 variables.

n.prod

Number of Products

distance

Distance

delTime

Delivery time

Source

Montgomery and Peck (1982, p.116)

References

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, page 155, table 23.

Examples

data(delivery)
summary(lm.deli <- lm(delTime ~ ., data = delivery))delivery.x <- as.matrix(delivery[, 1:2])
c_deli <- covMcd(delivery.x)
c_deli

--

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