On this Picostat.com statistics page, you will find information about the wtloss data set which pertains to Weight Loss Data from an Obese Patient. The wtloss data set is found in the MASS R package. You can load the wtloss data set in R by issuing the following command at the console data("wtloss"). This will load the data into a variable called wtloss. If R says the wtloss 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. 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 wtloss R data set. The size of this file is about 515 bytes.

Weight Loss Data from an Obese Patient

Description

The data frame gives the weight, in kilograms, of an obese patient at 52 time points over an 8 month period of a weight rehabilitation programme.

Usage

wtloss

Format

This data frame contains the following columns:

Days

time in days since the start of the programme.

Weight

weight in kilograms of the patient.

Source

Dr T. Davies, Adelaide.

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

Examples

wtloss.fm <- nls(Weight ~ b0 + b1*2^(-Days/th),
    data = wtloss, start = list(b0=90, b1=95, th=120))
wtloss.fm
plot(wtloss)
with(wtloss, lines(Days, fitted(wtloss.fm)))

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Dataset imported from https://www.r-project.org.