R Dataset / Package boot / cane

On this R-data statistics page, you will find information about the cane data set which pertains to Sugar-cane Disease Data. The cane data set is found in the boot R package. You can load the cane data set in R by issuing the following command at the console data("cane"). This will load the data into a variable called cane. If R says the cane data set is not found, you can try installing the package by issuing this command install.packages("boot") and then attempt to reload the data with the library() command. 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 cane R data set. The size of this file is about 3,208 bytes.

Sugar-cane Disease Data

Description

The cane data frame has 180 rows and 5 columns. The data frame represents a randomized block design with 45 varieties of sugar-cane and 4 blocks.

Usage

cane

Format

This data frame contains the following columns:

n

The total number of shoots in each plot.

r

The number of diseased shoots.

x

The number of pieces of the stems, out of 50, planted in each plot.

var

A factor indicating the variety of sugar-cane in each plot.

block

A factor for the blocks.

Details

The aim of the experiment was to classify the varieties into resistant, intermediate and susceptible to a disease called "coal of sugar-cane" (carvao da cana-de-acucar). This is a disease that is common in sugar-cane plantations in certain areas of Brazil.

For each plot, fifty pieces of sugar-cane stem were put in a solution containing the disease agent and then some were planted in the plot. After a fixed period of time, the total number of shoots and the number of diseased shoots were recorded.

Source

The data were kindly supplied by Dr. C.G.B. Demetrio of Escola Superior de Agricultura, Universidade de Sao Paolo, Brazil.

References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

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

Attachments: csv, json

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