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':
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## max, mean, min, prod, range, sample, sum
## Loading required package: mosaicCore
##
## Attaching package: 'mosaicCore'
## The following objects are masked from 'package:dplyr':
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## count, tally
##
## Attaching package: 'mosaicCalc'
## The following object is masked from 'package:stats':
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## D
Gunakan fungsi R/mosaik Iterate(). Argumen pertama adalah ekspresi gelombang yang mendefinisikan fungsi yang akan diiterasi. Yang kedua adalah tebakan awal. Yang ketiga adalah jumlah langkah iterasi. Contohnya:
better <- makeFun((guess + x/guess)/2 ~ guess)
Iterate(better(guess, x=55) ~ guess, x0=1, n=8)
## n guess
## 1 0 1.000000
## 2 1 28.000000
## 3 2 14.982143
## 4 3 9.326590
## 5 4 7.611854
## 6 5 7.418713
## 7 6 7.416199
## 8 7 7.416198
## 9 8 7.416198
Keluaran yang dihasilkan Iterate() berupa bingkai data. Tebakan awal ada pada baris dengan . Baris yang berurutan memberikan keluaran, langkah demi langkah, dengan setiap langkah iterasi baru.
Referensi: Kaplan, Daniel. 2022. MOSAIC Calculus. GitHub Pages. https://dtkaplan.github.io/MC2/