hue: Hue color data

Description

An observational study conducted at the Vegetable Production Department at "Luiz de Queiroz" College of Agriculture/University of S<U+00E3>o Paulo in 2010/2011 to evaluate the peel color of 20 papaya fruits cv. Sunrise Solo over time. The color hue was measured on the equatorial region of each fruit using four points observed by the colorimeter and 1,000 points observed by the scanner. Thus, the circular mean hue was calculated for each fruit by each device at time \(t\). The aim of the agreement study was to assess how well the colorimeter agreed with the scanner over time.

Usage

data(hue)

Arguments

Format

A data frame with 554 observations on the mean hue variable. The format is:

`H_mean`	numeric; mean hue of papaya's peel	`Method`
a factor with levels `Colorimeter`, `Scanner`	`Time`	integer; time in days
`Fruit`	a factor with 20 levels; from `1` to `20`	`H_mean`

References

Oliveira, T.P.; Hinde, J.; Zocchi S.S. Longitudinal Concordance Correlation Function Based on Variance Components: An Application in Fruit Color Analysis. Journal of Agricultural, Biological, and Environmental Statistics, v. 23, n. 2, 233<U+2013>254, 2018.

Examples

Run this code

# NOT RUN {
data(hue)
summary(hue)
str(hue)
## Second degree polynomial model with random intercept, slope and
## quadratic term including an exponential variance function using
## time as covariate.
model<-lcc(data = hue, subject = "Fruit", resp = "H_mean",
          method = "Method", time = "Time", qf = 2, qr = 2,
          components = TRUE, time_lcc = list(from = min(hue$Time),
          to = max(hue$Time), n=40), var.class=varExp,
          weights.form="time")
summary(model, type="model")
summary(model, type="lcc")
## for discussion on the analysis of complete data set,
## see Oliveira et al. (2018)
# }