Iterasi 3

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

## The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
## which was just loaded, will retire in October 2023.
## Please refer to R-spatial evolution reports for details, especially
## https://r-spatial.org/r/2023/05/15/evolution4.html.
## It may be desirable to make the sf package available;
## package maintainers should consider adding sf to Suggests:.
## The sp package is now running under evolution status 2
##      (status 2 uses the sf package in place of rgdal)

## 
## Attaching package: 'mosaicCalc'

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

Penggunaan Iterasi dalam Kalkulus

Iterasi adalah alat penting dalam kalkulus yang memungkinkan kita untuk mendekati solusi masalah matematika yang sulit atau bahkan tidak memiliki solusi tertutup. Dengan menggunakan iterasi, kita dapat menghitung nilai-nilai yang sangat akurat dalam berbagai konteks matematika. contohnya:

# Memasukkan paket ggplot2
library(ggplot2)

# Membuat data frame untuk Slice Plot
data <- data.frame(
  x = seq(-2, 2, by = 0.01),     # Range nilai x
  y = sapply(seq(-4, 4, by = 0.02), function(x) x^2)  # Fungsi f(x) = x^2
)

# Membuat Slice Plot
plot <- ggplot(data, aes(x, y)) +
  geom_line() +
  labs(title = "Slice Plot: f(x) = x^2", x = "x", y = "f(x)")

# Menampilkan grafik Slice Plot
print(plot)