# R Dataset / Package DAAG / moths

Attachment | Size |
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dataset-76376.csv | 746 bytes |

Documentation |
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On this Picostat.com statistics page, you will find information about the moths data set which pertains to Moths Data. The moths data set is found in the DAAG R package. You can load the moths data set in R by issuing the following command at the console data("moths"). This will load the data into a variable called moths. If R says the moths 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 moths R data set. The size of this file is about 746 bytes. ## Moths Data## DescriptionThe ## Usagemoths ## FormatThis data frame contains the following columns: - meters
length of transect - A
number of type A moths found - P
number of type P moths found - habitat
a factor with levels `Bank` ,`Disturbed` ,`Lowerside` ,`NEsoak` ,`NWsoak` ,`SEsoak` ,`SWsoak` ,`Upperside`
## SourceSharyn Wragg, formerly of Australian National University ## Examplesprint("Quasi Poisson Regression - Example 8.3") rbind(table(moths[,4]), sapply(split(moths[,-4], moths$habitat), apply,2, sum)) A.glm <- glm(formula = A ~ log(meters) + factor(habitat), family = quasipoisson, data = moths) summary(A.glm) # Note the huge standard errors moths$habitat <- relevel(moths$habitat, ref="Lowerside") A.glm <- glm(A ~ habitat + log(meters), family=quasipoisson, data=moths) summary(A.glm)$coef ## Consider as another possibility A2.glm <- glm(formula = A ~ sqrt(meters) + factor(habitat), family = quasipoisson(link=sqrt), data = moths) summary(A2.glm) -- Dataset imported from https://www.r-project.org. |

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