weee

as_daily_income <- function(yearly_income) {
  yearly_income / 365
}

as_daily_income <- function(x) {
  x / 365
  }

as_daily_income <- function(yearly_income, duration) {
  yearly_income / duration
}

as_daily_income(61362, 365)

## [1] 168.1151

as_daily_income <- function(yearly_income, duration = 365) {
  yearly_income / duration
}

as_daily_income(61362, duration = 366)

## [1] 167.6557

100 * exp(-2.5)

## [1] 8.2085

dose <- 100 # mg
duration <- 10 # days
time_constant <- 4 # days
dose * exp(- duration / time_constant)

## [1] 8.2085

library(mosaicCalc)

## Loading required package: mosaic

## Registered S3 method overwritten by 'mosaic':
##   method                           from   
##   fortify.SpatialPolygonsDataFrame ggplot2

## 
## The 'mosaic' package masks several functions from core packages in order to add 
## additional features.  The original behavior of these functions should not be affected by this.

## 
## Attaching package: 'mosaic'

## The following objects are masked from 'package:dplyr':
## 
##     count, do, tally

## The following object is masked from 'package:Matrix':
## 
##     mean

## The following object is masked from 'package:ggplot2':
## 
##     stat

## The following objects are masked from 'package:stats':
## 
##     binom.test, cor, cor.test, cov, fivenum, IQR, median, prop.test,
##     quantile, sd, t.test, var

## The following objects are masked from 'package:base':
## 
##     max, mean, min, prod, range, sample, sum

## Loading required package: mosaicCore

## 
## Attaching package: 'mosaicCore'

## The following objects are masked from 'package:dplyr':
## 
##     count, tally

## 
## Attaching package: 'mosaicCalc'

## The following object is masked from 'package:stats':
## 
##     D

drug_remaining <- function(dose, duration, time_constant) {
  dose * exp(- duration / time_constant)
}

library(mosaicCalc)
slice_plot(
  drug_remaining(dose = 100, time_constant = 4, duration = t) ~ t, 
  domain(t = 0:20))

library(mosaicCalc)
slice_plot(
  drug_remaining(dose = 50, time_constant = 3, duration = t) ~ t, 
  domain(t = 0:25))

fungsi t = 0:25 berfungsi untuk menjadi nilai x , dan nilai y disini adalah fungsi dose.