convertFx: Convert Life Table Indicators

In MortalityLaws: Parametric Mortality Models, Life Tables and HMD

Convert Life Table Indicators

Description

Easy conversion between the life table indicators. This function is based on the LifeTable function and methods behind it.

Usage

convertFx(x, data, from, to, ...)

Arguments

x	Vector of ages at the beginning of the age interval.
data	Vector or data.frame/matrix containing the mortality indicators.
from	Specify the life table indicator in the input data. Character. Options: mx, qx, dx, lx.
to	What indicator would you like to obtain? Character. Options: mx, qx, dx, lx, Lx, Tx, ex.
...	Further arguments to be passed to the LifeTable function with impact on the results to be produced.

Value

A matrix or array containing life table indicators.

Author(s)

Marius D. Pascariu

See Also

LifeTable

Examples

# Data ---
x  <- 0:110
mx <- ahmd$mx

# mx to qx
qx <- convertFx(x, data = mx, from = "mx", to = "qx")
# mx to dx
dx <- convertFx(x, data = mx, from = "mx", to = "dx")
# mx to lx
lx <- convertFx(x, data = mx, from = "mx", to = "lx")


# There are 28 possible combinations --------------------------------
# Let generate all of them.
from <- c("mx", "qx", "dx", "lx")
to   <- c("mx", "qx", "dx", "lx", "Lx", "Tx", "ex")
K    <- expand.grid(from = from, to = to) # all possible cases/combinations

for (i in 1:nrow(K)) {
  In  <- as.character(K[i, "from"])
  Out <- as.character(K[i, "to"])
  N <- paste0(Out, "_from_", In)
  cat(i, " Create", N, "\n")
  # Create the 28 sets of results
  assign(N, convertFx(x = x, data = get(In), from = In, to = Out))
}

MortalityLaws documentation built on Aug. 8, 2023, 5:10 p.m.