flours: Flours dataset

In modal-inria/cfda: Categorical Functional Data Analysis

Flours dataset

Description

Resistance of dough during the kneading process

Usage

data(flours)

Format

flours is a list of 3 elements:

• data A matrix of size 241*115 containing the resistance of dough (measured every 2s) during the kneading process. One dough batch = 1 column

• quality Quality of cookies baked with the associated dough (1=Good, 2=Medium, 3=Bad)

• time time values

See Also

Other datasets: biofam2, care

Examples

data(flours)

matplot(flours$time, flours$data, col = flours$quality, type = "l", lty = 1)

# convert to categorical data
flours_cfd <- convertToCfd(flours$data, breaks = c(-Inf, 150, 300, 450, 600, Inf),
                           times = flours$time)

plotData(flours_cfd, group = flours$quality)


# convert to categorical data after projecting in a basis of functions
basis <- create.bspline.basis(c(0, 480), nbasis = 10)
flours_fd <- Data2fd(flours$time, flours$data, basis)
plot(flours_fd)

flours_cfd2 <- convertToCfd(flours_fd, breaks = c(-Inf, 150, 300, 450, 600, Inf))

plotData(flours_cfd2, group = flours$quality)

modal-inria/cfda documentation built on Oct. 19, 2023, 10:03 a.m.