Nama mhs : “Achmad Fairuz” Nim : “220605110071” Kelas : “C” Mata kuliah : “kalkulus” Dosen pengampuh : “Prof.Dr. Muhhamad Suhartono, M.Kom” Jurusan : “Teknik Informatika” Universitas : ” UIN Maulana Malik Ibrahim Malang ”

Chapter 3 Parameters and functions

RANGKUMAN BAB 3

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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':
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## The following objects are masked from 'package:stats':
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##     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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## Loading required package: mosaicCore
## 
## Attaching package: 'mosaicCore'
## The following objects are masked from 'package:dplyr':
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## Attaching package: 'mosaicCalc'
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library(mosaic)
gf_point(height ~ age, data=datasets::Loblolly)

Beberapa pinus berusia tiga tahun dengan tinggi yang sangat mirip diukur dan dilacak dari waktu ke waktu: usia lima tahun, usia sepuluh tahun, dan seterusnya. Pohon-pohon berbeda satu sama lain, tetapi semuanya sangat mirip dan menunjukkan pola sederhana: pertumbuhan linier pada awalnya yang tampaknya menurun seiring waktu. Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

Definisi fungsi-fungsi ini mungkin tampak aneh pada awalnya — mereka sepenuhnya ditentukan oleh data: tidak ada parameter! Meskipun demikian, mereka adalah fungsi asli dan dapat bekerja dengan seperti fungsi lainnya.

library(mosaicCalc)
Cherry <- datasets::trees
gf_point(Volume ~ Girth, data = Cherry)

library(mosaicCalc)
g1 = spliner(Volume ~ Girth, data = Cherry)
## Warning in regularize.values(x, y, ties, missing(ties)): collapsing to unique
## 'x' values
g2 = connector(Volume ~ Girth, data = Cherry)
## Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm):
## collapsing to unique 'x' values
slice_plot(g1(x) ~ x, domain(x = 8:18)) %>%
  slice_plot(g2(x) ~ x, color ="red") %>%
  gf_point(Volume ~ Girth, data = Cherry) %>%
  gf_labs(x = "Girth (inches)")

melewati setiap titik data. (Satu-satunya pengecualian adalah dua titik dengan keliling 13 inci. Tidak ada fungsi yang dapat melewati kedua titik dengan keliling 13, jadi fungsi membagi selisih dan melewati rata-rata dari dua titik.)

g4 <- smoother(Volume ~ Girth, data=Cherry, span=1.0)
gf_point(Volume~Girth, data = Cherry) %>%
  slice_plot(g4(Girth) ~ Girth) %>%
  gf_labs(x = "Girth (inches)", y = "Wood volume")

mereka membangun fungsi smooth yang mendekati data. Anda memiliki kendali atas seberapa mulus fungsi tersebut. Parameter hiper spanmengatur ini

library(devtools)
## Loading required package: usethis
g5 <- smoother(Volume ~ Girth+Height, 
               data = Cherry, span = 1.0)
gf_point(Height ~ Girth, data = Cherry) %>%
  contour_plot(g5(Girth, Height) ~ Girth + Height) %>%
  gf_labs(x = "Girth (inches)", 
          y = "Height (ft)", 
          title = "Volume (ft^3)")

Daftar Pustaka

https://dtkaplan.github.io/RforCalculus/parameters-and-functions.html