On this Picostat.com statistics page, you will find information about the BOD data set which pertains to Biochemical Oxygen Demand . The BOD data set is found in the datasets R package. Try to load the BOD data set in R by issuing the following command at the console data("BOD"). This may load the data into a variable called BOD. If R says the BOD data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with library("datasets") followed by data("BOD"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing BOD at the command-line which should display the entire dataset.
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 BOD R data set. The size of this file is about 53 bytes.
Biochemical Oxygen Demand
BOD data frame has 6 rows and 2 columns giving the
biochemical oxygen demand versus time in an evaluation of water
This data frame contains the following columns:
A numeric vector giving the time of the measurement (days).
A numeric vector giving the biochemical oxygen demand (mg/l).
Bates, D.M. and Watts, D.G. (1988),
Nonlinear Regression Analysis and Its Applications,
Wiley, Appendix A1.4.
Originally from Marske (1967), Biochemical
Oxygen Demand Data Interpretation Using Sum of Squares Surface
M.Sc. Thesis, University of Wisconsin – Madison.
# simplest form of fitting a first-order model to these data
fm1 <- nls(demand ~ A*(1-exp(-exp(lrc)*Time)), data = BOD,
start = c(A = 20, lrc = log(.35)))
# using the plinear algorithm
fm2 <- nls(demand ~ (1-exp(-exp(lrc)*Time)), data = BOD,
start = c(lrc = log(.35)), algorithm = "plinear", trace = TRUE)
# using a self-starting model
fm3 <- nls(demand ~ SSasympOrig(Time, A, lrc), data = BOD)
Dataset imported from https://www.r-project.org.