Write 917 in words.
# install.packages("english")
library(english)
## Warning: package 'english' was built under R version 4.5.2
words(917)
## [1] "nine hundred seventeen"
Write 8059 in words.
# install.packages("english")
library(english)
words(8059)
## [1] "eight thousand fifty-nine"
Given the \((x,y)\) data below, create the associated polygon.
# install.packages("tidyverse")
library(tidyverse)
## Warning: package 'lubridate' was built under R version 4.5.2
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.1 ✔ stringr 1.5.2
## ✔ ggplot2 4.0.0 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.1.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
q3_data <- data.frame(X = c(-5,-5,4,7,4),
Y = c(-2,6,6,3,-2))
ggplot(q3_data,aes(x = X,y = Y)) +
geom_polygon(fill = "steelblue",color = "black",lwd = 1.25) +
geom_point(size = 3) +
coord_equal() +
theme_gray()
Convert \(270^{\circ}\) to radians.
# install.packages("pracma")
library(pracma)
##
## Attaching package: 'pracma'
## The following object is masked from 'package:purrr':
##
## cross
value <- deg2rad(deg = 270)
cat("270 degrees =",value,"radians","\n")
## 270 degrees = 4.712389 radians
Twenty students in a class sat a math test. The results are recorded in groups as follows. Use the midpoints of the groups to estimate the mean mark.
# install.packages("tidyverse")
library(tidyverse)
q5_data <- data.frame(Mark = c("10-19","20-29","30-39","40-49","50-59","60-69","70-79","80-89"),
Number = c(1,3,2,5,2,4,2,1))
mean_mark <- q5_data %>%
separate(Mark,into = c("Lower","Upper"),sep = "-",convert = T) %>%
mutate(Midpoint = (Lower + Upper) / 2) %>%
summarise(EstMean = sum(Midpoint * Number) / sum(Number)) %>%
pull(EstMean)
cat("The mean mark is:",mean_mark,"\n")
## The mean mark is: 49
Find the coordinates of the point of intersection of the straight line \(f(x) = 5x - 3\) and the parabola \(g(x) = x^2 + 3x - 2\).
# install.packages("tidyverse")
library(tidyverse)
f <- function(x) {
5 * x - 3
}
g <- function(x) {
x^2 + 3 * x - 2
}
x_values <- seq(-10,10,length.out = 500)
f_values <- f(x_values)
g_values <- g(x_values)
q6_data <- data.frame(x = x_values,f = f_values,g = g_values)
intersection <- q6_data %>%
mutate(Difference = abs(f - g)) %>%
slice_min(Difference,n = 1)
ggplot(q6_data,aes(x = x)) +
geom_line(aes(y = f,col = "f(x) = 5x - 3"),lwd = 1.25) +
geom_line(aes(y = g,col = "g(x) = x^2 + 3x - 2"),lwd = 1.25) +
scale_color_manual(values = c("f(x) = 5x - 3" = "blue",
"g(x) = x^2 + 3x - 2" = "red")) +
labs(title = "Graph of f(x) and g(x)",
caption = paste("The intersection is:",round(intersection,4)),
x = "x",
y = "y",
color = "Functions") +
theme_gray()
What is \(\int 3x^2 \cos(x^3) dx\)?
# install.packages(c("ggformula","mosaicCalc"))
library(ggformula)
## Warning: package 'ggformula' was built under R version 4.5.2
## Loading required package: scales
##
## Attaching package: 'scales'
## The following object is masked from 'package:purrr':
##
## discard
## The following object is masked from 'package:readr':
##
## col_factor
## The following object is masked from 'package:english':
##
## ordinal
## Loading required package: ggiraph
## Warning: package 'ggiraph' was built under R version 4.5.2
## Loading required package: ggridges
## Warning: package 'ggridges' was built under R version 4.5.2
##
## New to ggformula? Try the tutorials:
## learnr::run_tutorial("introduction", package = "ggformula")
## learnr::run_tutorial("refining", package = "ggformula")
library(mosaicCalc)
## Warning: package 'mosaicCalc' was built under R version 4.5.2
## Registered S3 method overwritten by 'mosaic':
## method from
## fortify.SpatialPolygonsDataFrame ggplot2
##
## Attaching package: 'mosaicCalc'
## The following object is masked from 'package:stats':
##
## D
h <- makeFun(3 * x^2 * cos(x^3) ~ x)
anti_h <- antiD(h(x) ~ x)
anti_h
## function (x, C = 0)
## {
## F <- makeF(3 * x^2 * cos(x^3))
## evalFun(F, x = x, .const = C)
## }
## <environment: 0x00000202ee0aa120>