R Dataset / Package DAAG / anesthetic
Attachment | Size |
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dataset-32494.csv | 723 bytes |
Documentation |
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On this Picostat.com statistics page, you will find information about the anesthetic data set which pertains to Anesthetic Effectiveness. The anesthetic data set is found in the DAAG R package. Try to load the anesthetic data set in R by issuing the following command at the console data("anesthetic"). This may load the data into a variable called anesthetic. If R says the anesthetic data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data with library("DAAG") followed by data("anesthetic"). 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 anesthetic 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 anesthetic R data set. The size of this file is about 723 bytes. Anesthetic EffectivenessDescriptionThirty patients were given an anesthetic agent maintained at a predetermined level (conc) for 15 minutes before making an incision. It was then noted whether the patient moved, i.e. jerked or twisted. Usageanesthetic FormatThis data frame contains the following columns:
DetailsThe interest is in estimating how the probability of jerking or twisting varies with increasing concentration of the anesthetic agent. Sourceunknown Examplesprint("Logistic Regression - Example 8.1.4")z <- table(anesthetic$nomove, anesthetic$conc) tot <- apply(z, 2, sum) # totals at each concentration prop <- z[2, ]/(tot) # proportions at each concentration oprop <- sum(z[2, ])/sum(tot) # expected proportion moving if concentration had no effect conc <- as.numeric(dimnames(z)[[2]]) plot(conc, prop, xlab = "Concentration", ylab = "Proportion", xlim = c(.5,2.5), ylim = c(0, 1), pch = 16) chw <- par()$cxy[1] text(conc - 0.75 * chw, prop, paste(tot), adj = 1) abline(h = oprop, lty = 2)pause()anes.logit <- glm(nomove ~ conc, family = binomial(link = logit), data = anesthetic) anova(anes.logit) summary(anes.logit) -- Dataset imported from https://www.r-project.org. |
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