| juice_drymatter {industRial} | R Documentation |
Dry matter content of different juices obtained with two different measurement devices.
Description
This data set contains laboratory measurements of the dry matter content of different fruit juices obtained with two different measurement devices. One of the devices is considered the reference (REF) and the other one is a new device (DRX) on which a linearity and bias study has to be performed.
- product
The juice base fruit ("Apple", "Beetroot")
- drymatter_TGT
Target drymatter content in [g]
- speed
Production line speed
- particle_size
Dry matter powder particle size [micrometers]
- part
Part number
- drymatter_DRX
Drymatter content measured with device DRX
- drymatter_REF
Drymatter content measured with reference device
Usage
juice_drymatter
Format
An object of class tibble with 108 observations on 7 variables.
Source
Adapted from a real gage bias and linearity study performed in 2021 on industrial beverages dry matter content measurement. The structure of the data corresponds to a full factorial design of 5 factors (3 with 3 levels and 2 with 2 levels).
References
For a complete case study application refer to https://j-ramalho.github.io/industRial/.
Examples
library(dplyr)
# Calculate the bias between the new device and the reference:
juice_drymatter <- juice_drymatter %>% dplyr::mutate(bias = drymatter_DRX - drymatter_REF)
# Establish the analysis of variance:
juice_drymatter_aov <- aov(
bias ~ drymatter_TGT * speed * particle_size,
data = juice_drymatter)
summary(juice_drymatter_aov)