R Dataset / Package Stat2Data / WeightLossIncentive7
On this R-data statistics page, you will find information about the WeightLossIncentive7 data set which pertains to WeightLossIncentive7. The WeightLossIncentive7 data set is found in the Stat2Data R package. You can load the WeightLossIncentive7 data set in R by issuing the following command at the console data("WeightLossIncentive7"). This will load the data into a variable called WeightLossIncentive7. If R says the WeightLossIncentive7 data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with the library() command. 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 WeightLossIncentive7 R data set. The size of this file is about 507 bytes.
WeightLossIncentive7
Description
Weight loss after seven months with/without a financial incentive
Format
A dataset with 33 observations on the following 2 variables.
Group | Treatment group: Control or Incentive |
Month7Loss | Weight loss (in pounds) after seven months |
Details
Researchers investigated whether financial incentives would help people lose weight more successfully. Some participants in the study were randomly assigned to a treatment group that was offered financial incentives for achieving weight loss goals, while others were assigned to a control group that did not use financial incentives. All participants were monitored over a four month period and the net weight change (Before - After in pounds) at the end of this period was recorded for each individual. Then the individuals were left alone for three months with a followup weight check at the seven-month mark to see whether weight losses persisted after the original four months of treatment. This dataset has only the non-missing 7-month data. The 4-month data are in WeightLossIncentive4 and both measurements (including missing values) are in WeightLossIncentive.
Source
“Financial incentive-based approaches for weight loss," Journal of the American Medical Association by Volpp, John, Troxel, et. al., Vol. 200, no. 22, pp 2631-2637, (Dec. 2008)
Dataset imported from https://www.r-project.org.
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