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
We’ll use {mosaicCalc} graphing function to enable the graph function and to layer those plots with graphs of other functions or data.
In this case, we’ll use graphing function called slice_plot().
slice_plot() is a function of one variable.
Here’s examples of plotting out functions:
m = 10
b = 5
slice_plot(m * x + b ~ x, domain(x = range(-2, 5)), color="maroon")
A = 200
slice_plot(A * x ^ 2 ~ x, domain(x = range(-2, 3)), color="red")
slice_plot(cos(t) ~ t, domain(t = range(0,4 * pi)), color="blue")