Nothing
R/AgivenF.R
In iemisc: Irucka Embry's Miscellaneous Functions
#' Annual value given Future value (Engineering Economics)
#'
#' Compute A given F
#'
#' A is expressed as
#'
#' \deqn{A = F\left[\frac{i}{\left(1 + i\right)^n - 1}\right]}
#'
#' \describe{
#' \item{\emph{A}}{the "uniform series amount (occurs at the end of each
#' interest period)"}
#' \item{\emph{F}}{the "future equivalent"}
#' \item{\emph{i}}{the "effective interest rate per interest period"}
#' \item{\emph{n}}{the "number of interest periods"}
#' }
#'
#'
#' @param F numeric vector that contains the future value(s)
#' @param n numeric vector that contains the period value(s)
#' @param i numeric vector that contains the interest rate(s) as a percent
#' @param frequency character vector that contains the frequency used to
#' obtain the number of periods [annual (1), semiannual (2), quarter (4),
#' bimonth (6), month (12), daily (365)]
#'
#' @return AgivenF numeric vector that contains the annual value(s) rounded to
#' 2 decimal places
#' @return AF data.frame of both n (0 to n) and the resulting annual values
#' rounded to 2 decimal places
#'
#'
#'
#' @references
#' William G. Sullivan, Elin M. Wicks, and C. Patrick Koelling, \emph{Engineering Economy}, Fourteenth Edition, Upper Saddle River, New Jersey: Pearson/Prentice Hall, 2009, page 135-136, 142, 164.
#'
#'
#'
#'
#' @author Irucka Embry
#'
#'
#'
#' @encoding UTF-8
#'
#'
#'
#'
#'
#'
#'
#' @examples
#'
#' library(iemisc)
#'
#' # Example for equation 4-12 from the Reference text (page 135-136)
#' AgivenF(309*10^6, 60, 0.5, "month")
#'
#' # the interest rate is 0.5\% per month and n is 60 months
#' # "$4.4187 million per month" is the answer
#'
#' AF(309*10^6, 60, 0.5, "annual")
#' # the interest rate is 0.5\% per month and n is 60 months
#'
#'
#' @importFrom data.table data.table setnames setDF
#' @importFrom assertthat assert_that
#' @importFrom round round_r3
#'
#' @name AgivenF
NULL
#' @export
#' @rdname AgivenF
AgivenF <- function (F, n, i, frequency = c("annual", "semiannual", "quarter", "bimonth", "month", "daily")) {
frequency <- frequency
checks <- c(F, n, i)
# Check
assert_that(!any(qtest(checks, "N+(0,)") == FALSE), msg = "Either F, n, or i is 0, NA, NaN, Inf, -Inf, empty, or a string. Please try again.")
# only process with finite values and provide an error message if the check fails
assert_that(qtest(frequency, "S==1"), msg = "There is not a frequency or more than 1 frequency is stated. Please specify either 'annual', 'semiannual', 'quarter', 'bimonth', 'month', or 'daily'.")
# only process with enough known variables and provide an error message if the check fails
assert_that(isTRUE(any(c("annual", "semiannual", "quarter", "bimonth", "month", "daily") %in% frequency)), msg = "Incorrect frequency. The only options are annual, semiannual, quarter, bimonth, month, daily. Please try again.")
# only process with a specified frequency and provide a stop warning if not
i <- i / 100
fr <- frequency
if (fr == "annual") {
fr <- 1
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "semiannual") {
fr <- 2
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "quarter") {
fr <- 4
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "bimonth") {
fr <- 6
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "month") {
fr <- 12
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "daily") {
fr <- 365
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
}
}
#' @export
#' @rdname AgivenF
AF <- function (F, n, i, frequency = c("annual", "semiannual", "quarter", "bimonth", "month", "daily")) {
frequency <- frequency
checks <- c(F, n, i)
# Check
assert_that(!any(qtest(checks, "N+(0,)") == FALSE), msg = "Either F, n, or i is 0, NA, NaN, Inf, -Inf, empty, or a string. Please try again.")
# only process with finite values and provide an error message if the check fails
assert_that(qtest(frequency, "S==1"), msg = "There is not a frequency or more than 1 frequency is stated. Please specify either 'annual', 'semiannual', 'quarter', 'bimonth', 'month', or 'daily'.")
# only process with enough known variables and provide an error message if the check fails
assert_that(isTRUE(any(c("annual", "semiannual", "quarter", "bimonth", "month", "daily") %in% frequency)), msg = "Incorrect frequency. The only options are annual, semiannual, quarter, bimonth, month, daily. Please try again.")
# only process with a specified frequency and provide a stop warning if not
i <- i / 100
fr <- frequency
if (fr == "annual") {
fr <- 1
n <- n * fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "semiannual") {
fr <- 2
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "quarter") {
fr <- 4
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "bimonth") {
fr <- 6
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "month") {
fr <- 12
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "daily") {
fr <- 365
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
}
}
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#' Annual value given Future value (Engineering Economics)
#'
#' Compute A given F
#'
#' A is expressed as
#'
#' \deqn{A = F\left[\frac{i}{\left(1 + i\right)^n - 1}\right]}
#'
#' \describe{
#' \item{\emph{A}}{the "uniform series amount (occurs at the end of each
#' interest period)"}
#' \item{\emph{F}}{the "future equivalent"}
#' \item{\emph{i}}{the "effective interest rate per interest period"}
#' \item{\emph{n}}{the "number of interest periods"}
#' }
#'
#'
#' @param F numeric vector that contains the future value(s)
#' @param n numeric vector that contains the period value(s)
#' @param i numeric vector that contains the interest rate(s) as a percent
#' @param frequency character vector that contains the frequency used to
#' obtain the number of periods [annual (1), semiannual (2), quarter (4),
#' bimonth (6), month (12), daily (365)]
#'
#' @return AgivenF numeric vector that contains the annual value(s) rounded to
#' 2 decimal places
#' @return AF data.frame of both n (0 to n) and the resulting annual values
#' rounded to 2 decimal places
#'
#'
#'
#' @references
#' William G. Sullivan, Elin M. Wicks, and C. Patrick Koelling, \emph{Engineering Economy}, Fourteenth Edition, Upper Saddle River, New Jersey: Pearson/Prentice Hall, 2009, page 135-136, 142, 164.
#'
#'
#'
#'
#' @author Irucka Embry
#'
#'
#'
#' @encoding UTF-8
#'
#'
#'
#'
#'
#'
#'
#' @examples
#'
#' library(iemisc)
#'
#' # Example for equation 4-12 from the Reference text (page 135-136)
#' AgivenF(309*10^6, 60, 0.5, "month")
#'
#' # the interest rate is 0.5\% per month and n is 60 months
#' # "$4.4187 million per month" is the answer
#'
#' AF(309*10^6, 60, 0.5, "annual")
#' # the interest rate is 0.5\% per month and n is 60 months
#'
#'
#' @importFrom data.table data.table setnames setDF
#' @importFrom assertthat assert_that
#' @importFrom round round_r3
#'
#' @name AgivenF
NULL
#' @export
#' @rdname AgivenF
AgivenF <- function (F, n, i, frequency = c("annual", "semiannual", "quarter", "bimonth", "month", "daily")) {
frequency <- frequency
checks <- c(F, n, i)
# Check
assert_that(!any(qtest(checks, "N+(0,)") == FALSE), msg = "Either F, n, or i is 0, NA, NaN, Inf, -Inf, empty, or a string. Please try again.")
# only process with finite values and provide an error message if the check fails
assert_that(qtest(frequency, "S==1"), msg = "There is not a frequency or more than 1 frequency is stated. Please specify either 'annual', 'semiannual', 'quarter', 'bimonth', 'month', or 'daily'.")
# only process with enough known variables and provide an error message if the check fails
assert_that(isTRUE(any(c("annual", "semiannual", "quarter", "bimonth", "month", "daily") %in% frequency)), msg = "Incorrect frequency. The only options are annual, semiannual, quarter, bimonth, month, daily. Please try again.")
# only process with a specified frequency and provide a stop warning if not
i <- i / 100
fr <- frequency
if (fr == "annual") {
fr <- 1
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "semiannual") {
fr <- 2
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "quarter") {
fr <- 4
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "bimonth") {
fr <- 6
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "month") {
fr <- 12
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
} else if (fr == "daily") {
fr <- 365
n <- n * fr
i <- i / fr
AgivenF <- F * (i / (((1 + i) ^ n) - 1))
return(round_r3(AgivenF, d = 2))
}
}
#' @export
#' @rdname AgivenF
AF <- function (F, n, i, frequency = c("annual", "semiannual", "quarter", "bimonth", "month", "daily")) {
frequency <- frequency
checks <- c(F, n, i)
# Check
assert_that(!any(qtest(checks, "N+(0,)") == FALSE), msg = "Either F, n, or i is 0, NA, NaN, Inf, -Inf, empty, or a string. Please try again.")
# only process with finite values and provide an error message if the check fails
assert_that(qtest(frequency, "S==1"), msg = "There is not a frequency or more than 1 frequency is stated. Please specify either 'annual', 'semiannual', 'quarter', 'bimonth', 'month', or 'daily'.")
# only process with enough known variables and provide an error message if the check fails
assert_that(isTRUE(any(c("annual", "semiannual", "quarter", "bimonth", "month", "daily") %in% frequency)), msg = "Incorrect frequency. The only options are annual, semiannual, quarter, bimonth, month, daily. Please try again.")
# only process with a specified frequency and provide a stop warning if not
i <- i / 100
fr <- frequency
if (fr == "annual") {
fr <- 1
n <- n * fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "semiannual") {
fr <- 2
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "quarter") {
fr <- 4
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "bimonth") {
fr <- 6
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "month") {
fr <- 12
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
} else if (fr == "daily") {
fr <- 365
n <- n * fr
i <- i / fr
AF <- vector("list", length(1:n))
## Source 1 and 2 / pre-allocate the list since it is being used in a for loop
for (y in 1:length(n)) {
AF[[y]] <- F * (i / (((1 + i) ^ seq(n)) - 1))
}
AF <- data.table(seq(n), unlist(AF))
P0 <- NA
P0 <- data.table(0, P0)
P0 <- setnames(P0, 2, "V2")
AF <- rbind(P0, AF)
setnames(AF, c("n (periods)", "Annual Worth ($US)"))
# Round the numeric values to 2 decimal places
cols <- "Annual Worth ($US)"
for (col in cols) {
idx <- which(!is.na(AF[[col]]))
data.table::set(AF, i = idx, j = col, value = round_r3(AF[[col]][idx], d = 2))
}
col.names <- c("n (periods)", "Annual Worth ($US)")
# code block below modified from data.table function
setattr(AF, "col.names", setnames(AF, col.names))
setattr(AF, "class", c("data.table", "data.frame"))
AF
}
}
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