R Dataset / Package Stat2Data / WeightLossIncentive


On this R-data statistics page, you will find information about the WeightLossIncentive data set which pertains to WeightLossIncentive. The WeightLossIncentive data set is found in the Stat2Data R package. You can load the WeightLossIncentive data set in R by issuing the following command at the console data("WeightLossIncentive"). This will load the data into a variable called WeightLossIncentive. If R says the WeightLossIncentive 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. 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 WeightLossIncentive R data set. The size of this file is about 721 bytes.



An experiment to see if financial incentives improve weight loss


A dataset with 38 observations on the following 3 variables.

R project statistics dataset table
WeightLoss Weight loss (in pounds) after four months
Group Treatment group: Control or Incentive
Month7Loss Weight loss (in pounds) after seven months


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.
The 4-month data alone (with missing values omitted) is stored in WeightLossIncentive4.
The 7-month data alone (with missing values omitted) is stored in WeightLossIncentive7.


“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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Attachment Size
dataset-49233.csv 721 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0

This documentation is licensed under GPLv3 or later.