R Dataset / Package boot / breslow
Attachment | Size |
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dataset-76818.csv | 225 bytes |
Documentation |
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On this Picostat.com statistics page, you will find information about the breslow data set which pertains to Smoking Deaths Among Doctors. The breslow data set is found in the boot R package. Try to load the breslow data set in R by issuing the following command at the console data("breslow"). This may load the data into a variable called breslow. If R says the breslow data set is not found, you can try installing the package by issuing this command install.packages("boot") and then attempt to reload the data with library("boot") followed by data("breslow"). 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 breslow 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 breslow R data set. The size of this file is about 225 bytes. Smoking Deaths Among DoctorsDescriptionThe In 1961 Doll and Hill sent out a questionnaire to all men on the British
Medical Register enquiring about their smoking habits. Almost 70% of
such men replied. Death certificates were obtained for medical practitioners
and causes of death were assigned on the basis of these certificates. The
Usagebreslow FormatThis data frame contains the following columns:
SourceThe data were obtained from Breslow, N.E. (1985) Cohort Analysis in Epidemiology. In A Celebration of Statistics A.C. Atkinson and S.E. Fienberg (editors), 109–143. Springer-Verlag. ReferencesDavison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press. Doll, R. and Hill, A.B. (1966) Mortality of British doctors in relation to smoking: Observations on coronary thrombosis. National Cancer Institute Monograph, 19, 205-268. -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Boxplot | May 15, 2020 |
Picostat Output - Boxplot | May 15, 2020 |
Picostat Output - Correlation Coefficients | May 15, 2020 |
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