Nama : Diki Faisal Huda

Nim : 220605110058

Kelas : C

Mata Kuliah : Kalkulus

Dosen Pengampuh : Prof.Dr.Suhartono,M.Kom

Jurusan : Teknik Informatika

Universitas : UIN Maulana Malik Ibrahim Malang

Anda telah melihat operator kalkulus dasar, diferensiasi, yang diimplementasikan oleh fungsi R/mosaicCalc D(). Operator diferensiasi mengambil sebagai input fungsi dan variabel “sehubungan dengan”. Outputnya adalah fungsi lain yang memiliki variabel “sehubungan dengan” sebagai argumen, dan kemungkinan argumen lain juga.

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
f1 <- makeFun(sin(x ^ 2) ~ x)
f2 <- makeFun(sin(x ^ 2)  +  3 ~ x)
f3 <- makeFun(sin(x ^ 2)  -  100 ~ x)
f1(1)
## [1] 0.841471
f2(1)
## [1] 3.841471
f3(1)
## [1] -99.15853
df1 = D(f1(x) ~ x)
df2 = D(f2(x) ~ x)
df3 = D(f3(x) ~ x)
df1(1)
## [1] 1.080605
df2(1)
## [1] 1.080605
df3(1)
## [1] 1.080605
gaussian <- 
  makeFun((1/sqrt(2*pi*sigma^2)) * 
            exp( -(x-mean)^2/(2*sigma^2)) ~ x,
          mean=2, sigma=2.5)
slice_plot(gaussian(x) ~ x, domain(x = -5:10)) %>%
  slice_plot(gaussian(x, mean=0, sigma=1) ~ x, color="red")

https://dtkaplan.github.io/RforCalculus/index.html?fbclid=IwAR1d_WcAeawvUaBnLKlkRoO2sV4b-6nRX0eNR3DT457DKN7NJV8NV0giSLo