R Dataset / Package datasets / OrchardSprays

On this R-data statistics page, you will find information about the OrchardSprays data set which pertains to Potency of Orchard Sprays. The OrchardSprays data set is found in the datasets R package. You can load the OrchardSprays data set in R by issuing the following command at the console data("OrchardSprays"). This will load the data into a variable called OrchardSprays. If R says the OrchardSprays data set is not found, you can try installing the package by issuing this command install.packages("datasets") 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 OrchardSprays R data set. The size of this file is about 735 bytes.

Potency of Orchard Sprays

Description

An experiment was conducted to assess the potency of various constituents of orchard sprays in repelling honeybees, using a Latin square design.

Usage

OrchardSprays

Format

A data frame with 64 observations on 4 variables.

R project statistics dataset table
[,1] rowpos numeric Row of the design
[,2] colpos numeric Column of the design
[,3] treatment factor Treatment level
[,4] decrease numeric Response

Details

Individual cells of dry comb were filled with measured amounts of lime sulphur emulsion in sucrose solution. Seven different concentrations of lime sulphur ranging from a concentration of 1/100 to 1/1,562,500 in successive factors of 1/5 were used as well as a solution containing no lime sulphur.

The responses for the different solutions were obtained by releasing 100 bees into the chamber for two hours, and then measuring the decrease in volume of the solutions in the various cells.

An 8 x 8 Latin square design was used and the treatments were coded as follows:

R project statistics dataset table
A highest level of lime sulphur
B next highest level of lime sulphur
.
.
.
G lowest level of lime sulphur
H no lime sulphur

Source

Finney, D. J. (1947) Probit Analysis. Cambridge.

References

McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley.

Examples

require(graphics)
pairs(OrchardSprays, main = "OrchardSprays data")

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

Attachments: csv, json

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