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fungsi adalah transformasi dari input ke output. Fungsi digunakan untuk menyatakan hubungan antar besaran. Dalam mengevaluasi suatu fungsi , Anda menentukan apa inputnya dan fungsi menerjemahkannya ke dalam output.
Ada tiga fungsi grafik {mosaicCalc}yang memungkinkan Anda membuat grafik fungsi, dan melapisi plot tersebut dengan grafik fungsi atau data lain. Ini adalah:
slice_plot()untuk fungsi satu variabel. contour_plot()untuk fungsi dua variabel. interactive_plot()yang menghasilkan widget HTML untuk berinteraksi dengan fungsi dua variabel.
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
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
x <-10
slice_plot(A * x ^ 2 ~ A, domain(A = range(-2, 3)))
slice_plot( -4 * x - 7 ~ x, domain(x = range(0, 10) ))
slice_plot( cos(6 * x) ~ x, domain(x = range(-1, 3)))
slice_plot( cos(2 * t) ~ t, domain(t = range(0,5) ))
slice_plot( sqrt(t) * cos(5 * t) ~ t, domain(t = range(0, 5) ))
slice_plot(2*x - 3 ~ x, domain(x = range(0, 5)))
slice_plot(t^2 ~ t, domain(t = range(-2, 2)))
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plot.