npv_irr function

Calculate Net Present Value and other economic variables

Get the net present value, internal rate of return, and other economic variables, given cost and revenue values.

npv_irr(
  df,
  year,
  cost,
  revenue,
  rate,
  output = "full",
  sens_limits = c(1, 30),
  big_mark = ",",
  dec_mark = ".",
  prefix = "$"
)

Arguments

• df: A data frame.
• year: Quoted name of the year variable.
• cost: Quoted name of the costs variable.
• revenue: Quoted name of the revenue variable.
• rate: Numeric value of the yearly rate to be used.
• output: Selects different output options. It can be either "full" for a list containing a sensibility plot and a data frame with a single observation and one column for each variable, or "simple" for a two column data frame with one observation for each calculated variable. Default: "simple".
• sens_limits: Selects the rate rage used in the sensibility plot. This is a numeric vector with two elements, the initial and final rate to be used as range. These can vary between 0 and 100. Default: c(1,30).
• big_mark: Selects thousands separator. Can be either ".", " " or ",". Default: ",".
• dec_mark: Selects decimal separator. Can be either "," or ".". Default: ".".
• prefix: selects the prefix for the y axis in the sensibility plot. Can be either "$" or "R$". Default: "$".

Returns

A data frame, or a list, according to output.

Examples

## Not run:

library(forestmangr)
data(exfm22)

npv_irr(exfm22,"year","cost","revenue",rate=8.75)

# To also get a sensibility plot, use

npv_irr(exfm22,"year","cost","revenue",rate=8.75, output="full")
## End(Not run)

Author(s)

Sollano Rabelo Braga sollanorb@gmail.com