R Dataset / Package car / WeightLoss
| Attachment | Size |
|---|---|
| dataset-67285.csv | 848 bytes |
| Dataset Help |
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On this Picostat.com statistics page, you will find information about the WeightLoss data set which pertains to Weight Loss Data. The WeightLoss data set is found in the car R package. You can load the WeightLoss data set in R by issuing the following command at the console data("WeightLoss"). This will load the data into a variable called WeightLoss. If R says the WeightLoss data set is not found, you can try installing the package by issuing this command install.packages("car") 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 WeightLoss R data set. The size of this file is about 848 bytes. |
| Documentation |
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Weight Loss DataDescriptionContrived data on weight loss and self esteem over three months, for three groups of individuals: Control, Diet and Diet + Exercise. The data constitute a double-multivariate design. UsageWeightLoss FormatA data frame with 34 observations on the following 7 variables.
DetailsHelmert contrasts are assigned to SourceOriginally taken from http://www.csun.edu/~ata20315/psy524/main.htm, but modified slightly. Courtesy of Michael Friendly. -- Dataset imported from https://www.r-project.org. |
| Curated Data | File Size |
|---|---|
| OpenIntro Statistics Dataset - yrbss_samp | 7.62 KB |
| OpenIntro Statistics Dataset - yrbss | 1.03 MB |
| OpenIntro Statistics Dataset - yawn | 861 bytes |
| OpenIntro Statistics Dataset - xom | 4.95 KB |
| OpenIntro Statistics Dataset - winery_cars | 489 bytes |
| All Public Datasets | File Size |
|---|---|
| PSID | |
| wage1 | 328 bytes |
| OpenIntro Statistics Dataset - yrbss_samp | 7.62 KB |
| OpenIntro Statistics Dataset - yrbss | 1.03 MB |
| OpenIntro Statistics Dataset - yawn | 861 bytes |
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| Recent Queries | App/Dataset | By | Date |
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| Picostat Output - Numerical Summaries | R Dataset / Package datasets / quakes | wicetram | October 24, 2020 - 3:20 PM |
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