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等额本息和等额本金还款在R中的实现

时间:2020-09-06 06:55:58

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等额本息和等额本金还款在R中的实现

等额本金还款

library(tidyverse)Eqprincipal <- function(principal, r, Loanterm){n <- Loanterm * 12r <- r / 12Prepay <- rep(principal / n, n)Pint <- rep(NA, n)Pint[1] <- principal * rRepayPrint <- rep(NA, n)RepayPrint[1] <- Prepay[1] + Pint[1]Resipr <- rep(NA, n)Resipr[1] <- principal - Prepay[1]for (i in c(2:n)){Pint[i] <- Resipr[i - 1] * rRepayPrint[i] <- Prepay[i] + Pint[i]Resipr[i] <- principal - i * Prepay[i]}result <- tibble('每月偿还本金' = Prepay, '偿还利息' = Pint,'偿还本息' = RepayPrint,'剩余本金' = Resipr)return(result)}a <- Eqprincipal(1000000, 0.049, 20)# 每月偿还本金 偿还利息 偿还本息 剩余本金# <dbl> <dbl> <dbl> <dbl># 1 4167. 4083. 8250 995833.# 2 4167. 4066. 8233. 991667.# 3 4167. 4049. 8216. 987500 # 4 4167. 4032. 8199. 983333.# 5 4167. 4015. 8182. 979167.# 6 4167. 3998. 8165. 975000 # 7 4167. 3981. 8148. 970833.# 8 4167. 3964. 8131. 966667.# 9 4167. 3947. 8114. 962500 # 10 4167. 3930. 8097. 958333.# # ... with 230 more rows

等额本息还款

Eqprint <- function(principal, r, Loanterm){n <- Loanterm * 12r <- r / 12Pint <- rep(principal * r, n)Pint[1] <- principal * rRepayPrint <- rep(principal * r * (1 + r)^n / ((1 + r)^n - 1), n)Prepay <- rep(NA, n)Prepay[1] <- RepayPrint[1] - Pint[1]Resipr <- rep(NA, n)Resipr[1] <- principal - Prepay[1]for (i in c(2:n)){Pint[i] <- Resipr[i - 1] * rPrepay[i] <- RepayPrint[i] - Pint[i]Resipr[i] <- Resipr[i - 1] - Prepay[i]}result <- tibble('每月偿还本金' = Prepay, '偿还利息' = Pint,'偿还本息' = RepayPrint,'剩余本金' = Resipr)return(result)}b <- Eqprint(1000000, 0.049, 20)# 每月偿还本金 偿还利息 偿还本息 剩余本金# <dbl> <dbl> <dbl> <dbl># 1 2461. 4083. 6544. 997539.# 2 2471. 4073. 6544. 995068.# 3 2481. 4063. 6544. 992586.# 4 2491. 4053. 6544. 990095.# 5 2502. 4043. 6544. 987594.# 6 2512. 4033. 6544. 985082.# 7 2522. 4022. 6544. 982560.# 8 2532. 4012. 6544. 980027.# 9 2543. 4002. 6544. 977485.# 10 2553. 3991. 6544. 974932.# # ... with 230 more rows

两种还款方式的利息差额计算

chae <- b$偿还利息 - a$偿还利息 chae1 <- tibble(chae)# # A tibble: 240 x 1# chae# <dbl># 1 0 # 2 6.96# 3 13.9 # 4 20.8 # 5 27.6 # 6 34.4 # 7 41.2 # 8 47.9 # 9 54.6 # 10 61.2 # # ... with 230 more rowssum(chae)# [1] 78624.05

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