R Dataset / Package robustbase / carrots
On this Picostat.com statistics page, you will find information about the carrots data set which pertains to Insect Damages on Carrots. The carrots data set is found in the robustbase R package. Try to load the carrots data set in R by issuing the following command at the console data("carrots"). This may load the data into a variable called carrots. If R says the carrots 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("carrots"). 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 carrots 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 carrots R data set. The size of this file is about 394 bytes.
Insect Damages on Carrots
The damage carrots data set from Phelps (1982) was used by McCullagh and Nelder (1989) in order to illustrate diagnostic techniques because of the presence of an outlier. In a soil experiment trial with three blocks, eight levels of insecticide were applied and the carrots were tested for insect damage.
A data frame with 24 observations on the following 4 variables.
Phelps, K. (1982).
Use of the complementary log-log function to describe doseresponse
relationships in insecticide evaluation field trials.
McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.
Eva Cantoni and Elvezio Ronchetti (2001); JASA, and
data(carrots) str(carrots) plot(success/total ~ logdose, data = carrots, col = as.integer(block)) coplot(success/total ~ logdose | block, data = carrots)## Classical glm Cfit0 <- glm(cbind(success, total-success) ~ logdose + block, data=carrots, family=binomial) summary(Cfit0)## Robust Fit (see help(glmrob)) ....
Dataset imported from https://www.r-project.org.
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