R Dataset / Package MASS / birthwt
Attachment | Size |
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dataset-34016.csv | 4.84 KB |
Documentation |
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On this Picostat.com statistics page, you will find information about the birthwt data set which pertains to Risk Factors Associated with Low Infant Birth Weight. The birthwt data set is found in the MASS R package. Try to load the birthwt data set in R by issuing the following command at the console data("birthwt"). This may load the data into a variable called birthwt. If R says the birthwt data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data with library("MASS") followed by data("birthwt"). 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 birthwt 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 birthwt R data set. The size of this file is about 4,955 bytes. Risk Factors Associated with Low Infant Birth WeightDescriptionThe Usagebirthwt FormatThis data frame contains the following columns:
SourceHosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley ReferencesVenables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer. Examplesbwt <- with(birthwt, { race <- factor(race, labels = c("white", "black", "other")) ptd <- factor(ptl > 0) ftv <- factor(ftv) levels(ftv)[-(1:2)] <- "2+" data.frame(low = factor(low), age, lwt, race, smoke = (smoke > 0), ptd, ht = (ht > 0), ui = (ui > 0), ftv) }) options(contrasts = c("contr.treatment", "contr.poly")) glm(low ~ ., binomial, bwt) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Numerical Summaries | Dec 27, 2022 |
Picostat Output - Numerical Summaries | Dec 20, 2022 |
Picostat Output - Correlation Coefficients | Jan 25, 2022 |
Picostat Output - Bivariate Plot | Jan 22, 2022 |
Picostat Output - Numerical Summaries | Jan 22, 2022 |
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