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

In MaciejDanko/pclmpash:

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.fit, pclm.control, pclm.interval.multiple,

Examples

## Not run: 
# Use a simple data set
AU10 <- Inputlx(x = australia_10y$x, lx = australia_10y$lx,
   nax = australia_10y$nax, nx = australia_10y$nx, last_open = TRUE)

# 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(AU10$lt$x, control = control.1) #calculate number of raw classes
AU10p.1A <- pclm.fit(AU10, control = control.1)
length(AU10p.1A$pclm$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(AU10$lt$x, control = control.2) #calculate the number of raw classes
AU10p.1B <- pclm.fit(AU10, control = control.2)
length(AU10p.1B$pclm$raw$x) # the number of raw classes after fit
plot(AU10p.1B)

# **** See more examples in the help for pclm.fit() function.

## End(Not run)

MaciejDanko/pclmpash documentation built on May 14, 2019, 7:41 a.m.