juice_drymatter: Dry matter content of different juices obtained with two...

In industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

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)

industRial documentation built on June 11, 2021, 5:10 p.m.