Description Usage Format Source References Examples
A data set with charging time in hours required to recharge a lithium-ion battery based on a full factorial design of experiment with four variables (A, B, C, D) coded as +/- 1. Design effects are coded as numerical variables in order to allow to build models without coding the contrasts and then to make predictions on a continuous range from -1 to +1.
Variable A (numerical)
Variable B (numerical)
Variable B (numerical)
Variable B (numerical)
The independent repeat of each unique factor combination.
Battery charging time [h]
1 |
A tibble with 32 observations on 6 variables.
Original data set.
For a complete case study application refer to https://j-ramalho.github.io/industRial/.
1 2 3 4 5 6 7 8 9 | data(battery_charging)
head(battery_charging)
# Building a linear model:
battery_lm <- lm(
formula = charging_time ~ A * B * C,
data = battery_charging
)
summary(battery_lm)
|
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