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Raman Spectra Bioreactor Data

Source: R/data-glucose_bioreactors.R
glucose_bioreactors.Rd

Kuhn and Johnson (2013) used these two data sets to model the glucose yeild in large- and small-scale bioreactors:

Source

Kuhn and Johnson (2020), Feature Engineering and Selection, Chapman and Hall/CRC . https://bookdown.org/max/FES/ and https://github.com/topepo/FES

Value

Two tibbles. For each, there are 2,651 columns whose names are numbers and these are the measured assay values (and the names are the wave numbers). The numeric column glucose has the outcome data, day is the number of days in the bioreactor, the batch_id is the reactor identifier (with "L" for large and "S" for small), and batch_sample that is the ID and the day.

Details

  • Fifteen small-scale (5 liters) bioreactors were seeded with cells and were monitored daily for 14 days.

  • Three large-scale bioreactors were also seeded with cells from the same batch and monitored daily for 14 days.

Samples were collected each day from all bioreactors and glucose was measured. The goal would be to create models on the data from the more numerous small-scale bioreactors and then evaluate if these results can accurately predict what is happening in the large-scale bioreactors.

Examples


data(glucose_bioreactors)
dim(bioreactors_small)
#> [1]  210 2655