R Dataset / Package DAAG / frogs
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On this R-data statistics page, you will find information about the frogs data set which pertains to Frogs Data. The frogs data set is found in the DAAG R package. You can load the frogs data set in R by issuing the following command at the console data("frogs"). This will load the data into a variable called frogs. If R says the frogs 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. 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 frogs R data set. The size of this file is about 12,680 bytes. Frogs DataDescriptionThe Usagefrogs FormatThis data frame contains the following columns:
SourceHunter, D. (2000) The conservation and demography of the southern corroboree frog (Pseudophryne corroboree). M.Sc. thesis, University of Canberra, Canberra. Examplesprint("Multiple Logistic Regression - Example 8.2")plot(northing ~ easting, data=frogs, pch=c(1,16)[frogs$pres.abs+1], xlab="Meters east of reference point", ylab="Meters north") pairs(frogs[,4:10]) attach(frogs) pairs(cbind(altitude,log(distance),log(NoOfPools),NoOfSites), panel=panel.smooth, labels=c("altitude","log(distance)", "log(NoOfPools)","NoOfSites")) detach(frogs)frogs.glm0 <- glm(formula = pres.abs ~ altitude + log(distance) + log(NoOfPools) + NoOfSites + avrain + meanmin + meanmax, family = binomial, data = frogs) summary(frogs.glm0)frogs.glm <- glm(formula = pres.abs ~ log(distance) + log(NoOfPools) + meanmin + meanmax, family = binomial, data = frogs) oldpar <- par(mfrow=c(2,2)) termplot(frogs.glm, data=frogs)termplot(frogs.glm, data=frogs, partial.resid=TRUE)cv.binary(frogs.glm0) # All explanatory variables pause()cv.binary(frogs.glm) # Reduced set of explanatory variablesfor (j in 1:4){ rand <- sample(1:10, 212, replace=TRUE) all.acc <- cv.binary(frogs.glm0, rand=rand, print.details=FALSE)$acc.cv reduced.acc <- cv.binary(frogs.glm, rand=rand, print.details=FALSE)$acc.cv cat("\nAll:", round(all.acc,3), " Reduced:", round(reduced.acc,3)) } -- Dataset imported from https://www.r-project.org. |
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dataset-68939.csv | 12.38 KB |