# R Dataset / Package datasets / BOD

Attachment | Size |
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dataset-83423.csv | 53 bytes |

Documentation |
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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. You can load the BOD data set in R by issuing the following command at the console data("BOD"). This will 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. 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## DescriptionThe ## UsageBOD ## FormatThis data frame contains the following columns: `Time` -
A numeric vector giving the time of the measurement (days). `demand` -
A numeric vector giving the biochemical oxygen demand (mg/l).
## SourceBates, D.M. and Watts, D.G. (1988),
Originally from Marske (1967), ## Examplesrequire(stats) # 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))) coef(fm1) fm1 # 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) summary(fm3) -- Dataset imported from https://www.r-project.org. |

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