Description Format Source Examples
The Coal
data frame has 23 rows and 20 columns of data on a coal
liquefaction process.
This data frame contains the following columns:
the time of the observation, measured from the beginning of the run (min).
the temperature of the run (K).
the pressure at which the run was performed (MPa).
iron oxide? (Fe2 O3) concentration in the run (wt% maf).
transfer rate of the feed (wt% maf).
inlet composition of unconverted coal (wt %).
inlet composition of thermal residuals (wt %).
inlet composition of C4-822K (wt %).
inlet composition of C1-C3 gases (wt %).
inlet composition of byproduct gases (wt %).
inlet composition of water (wt %).
inlet composition of hydrogen (wt %).
inlet composition of Coal (wt %).
outlet composition of unconverted coal (wt %).
outlet composition of thermal residuals (wt %).
outlet composition of C4-822K (wt %).
outlet composition of C1-C3 gases (wt %).
outlet composition of byproduct gases (wt %).
outlet composition of water (wt %).
outlet composition of hydrogen (wt %).
Bates and Watts (1998), Nonlinear Regression Analysis and Its Applications, Wiley (Appendix A4.7).
Originally from Lythgoe (1986), M.Sc. Thesis, Queen's University at Kingston.
1 2 3 4 5 6 7 8 9 | str(Coal)
x8s <- with(Coal, equal.count(x8))
xyplot( y1 ~ x1 | x8s * Time, Coal, type = c("g","p"))
xyplot( y2 ~ x2 | x8s * Time, Coal, type = c("g","p"))
xyplot( y3 ~ x3 | x8s * Time, Coal, type = c("g","p"))
xyplot( y4 ~ x4 | x8s * Time, Coal, type = c("g","p"))
xyplot( y5 ~ x5 | x8s * Time, Coal, type = c("g","p"))
xyplot( y6 ~ x6 | x8s * Time, Coal, type = c("g","p"))
xyplot( y7 ~ x7 | x8s * Time, Coal, type = c("g","p"))
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