R Dataset / Package Stat2Data / Olives
On this R-data statistics page, you will find information about the Olives data set which pertains to Olives. The Olives data set is found in the Stat2Data R package. You can load the Olives data set in R by issuing the following command at the console data("Olives"). This will load the data into a variable called Olives. If R says the Olives data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") 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 Olives R data set. The size of this file is about 500 bytes.
Olives
Description
Measurements of the pesticide fenthion in olive oil over time
Format
A dataset with 18 observations on the following 7 variables.
SampleNumber | Code (1-6) for sample of olive oil |
Group | Code for group: 1 or 2 |
Day | Time (in days) when sample was measured: 0, 281, or 365 |
Fenthion | Amount of fenthion (pesticide) |
FenthionSulphoxide | Amount of fenthion sulfide |
FenthionSulphone | Amount of fenthion sulphone |
Time | Code (0, 3, or 4) for the number of days |
Details
Fenthion is a pesticide used against the olive fruit fly in olive groves. It is toxic to humans so it is important that there be no residue left on the fruit or in olive oil that will be consumed. One theory was that if there is residue of the pesticide left in the olive oil, it would dissipate over time. Chemists set out to test that theory by taking a random sample of small amounts of olive oil with fenthion residue and measuring the amount of fenthion in the oil at three different times over the year - day 0, day 281 and day 365.
Source
Data provided by Rosemary Roberts and discussed in "Persistence of fenthion residues in olive oil" by Chaido Lentza-Rizos, Elizabeth J. Avramides, and Rosemary A. Roberts in Pest Management Science, Vol. 40, Issue 1, Jan. 1994, pp. 63-69.
Dataset imported from https://www.r-project.org.
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