pclm.nclasses: Calculate the number of PCLM internal (raw) classes

In MaciejDanko/pclm: Penalized Composite Linear Models (PCLMs)

Description

Calculate the number of PCLM internal (raw) classes.

Usage

pclm.nclasses(x, control = list())

Arguments

x	Vector with start of the interval for age/time classes.
control	List with additional parameters. See pclm.control.

Author(s)

Maciej J. Danko <[e-mail]> <[e-mail]>

See Also

pclm.control, pclm.interval.multiple,

Examples

## Not run: 
# Use a simple data set
x <- c(0, 1, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100)
dx <- c(38, 37, 17, 104, 181, 209, 452, 1190, 2436, 3164, 1852, 307, 13)

# Define the open interval by zero.class.frac
control.1 = list(x.div = 5, zero.class.frac = 0.2, zero.class.end = NULL)
pclm.nclasses(x, control = control.1) #calculate number of raw classes
AU10p.1A <- pclm.default(x, dx, control = control.1)
length(AU10p.1A$raw$x) # the number of raw classes after fit
plot(AU10p.1A)

# Define the open interval by zero.class.end
control.2 = list(x.div = 5, zero.class.end = 109)
pclm.nclasses(x, control = control.2) #calculate the number of raw classes
AU10p.1B <- pclm.default(x, dx, control = control.2)
length(AU10p.1B$raw$x) # the number of raw classes after fit
plot(AU10p.1B)

## End(Not run)

MaciejDanko/pclm documentation built on May 3, 2019, 3:36 p.m.