# convertFx: Convert Life Table Indicators In MortalityLaws: Parametric Mortality Models, Life Tables and HMD

 convertFx R Documentation

## 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

`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.