R Dataset / Package boot / frets
| Attachment | Size |
|---|---|
| dataset-68053.csv | 420 bytes |
| R Dataset Help |
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On this Picostat.com statistics page, you will find information about the frets data set which pertains to Head Dimensions in Brothers. The frets data set is found in the boot R package. You can load the frets data set in R by issuing the following command at the console data("frets"). This will load the data into a variable called frets. If R says the frets 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. 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 frets R data set. The size of this file is about 420 bytes. |
| Documentation |
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Head Dimensions in BrothersDescriptionThe The data consist of measurements of the length and breadth of the heads of pairs of adult brothers in 25 randomly sampled families. All measurements are expressed in millimetres. Usagefrets FormatThis data frame contains the following columns:
SourceThe data were obtained from Frets, G.P. (1921) Heredity of head form in man. Genetica, 3, 193. ReferencesDavison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press. Whittaker, J. (1990) Graphical Models in Applied Multivariate Statistics. John Wiley. -- Dataset imported from https://www.r-project.org. |
| Curated Data | File Size |
|---|---|
| R Dataset / Package boot / acme | 1.59 KB |
| R Dataset / Package boot / aids | 2.88 KB |
| R Dataset / Package boot / aircondit | 45 bytes |
| R Dataset / Package boot / aircondit7 | 82 bytes |
| R Dataset / Package boot / amis | 77.2 KB |
| All Public Datasets | File Size |
|---|---|
| Test | 394 bytes |
| Q1 | 332 bytes |
| prova_Correlatio | 593 bytes |
| profva | |
| test | 332 bytes |
| R Output | Date |
|---|---|
| Picostat Output - Bar Plot for Count Data | Mar 20, 2019 |
| Picostat Output - Bivariate Plot | Mar 18, 2019 |
| Picostat Output - Dotplot | Mar 18, 2019 |
| Picostat Output - Visual Summaries | Mar 18, 2019 |
| Picostat Output - Visual Summaries | Mar 18, 2019 |
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