Given \(B(x) = \sqrt{x} + \frac{1}{2}x\) is an antiderivative of \(b(x)\), find \(\int_{4}^{9} b(x) \space dx\).
# install.packages("Deriv")
library(Deriv)
B <- function(x) {
sqrt(x) + 0.5 * x
}
b <- Deriv(B)
answer <- integrate(f = b,lower = 4,upper = 9)$value
cat("The answer is:",answer,"\n")
## The answer is: 3.5
Put \([3768,3786,8736,7836,7638]\) in descending order.
# 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
q2_data <- data.frame(Value = c(3768,3786,8736,7836,7638))
q2_data %>%
arrange(desc(Value)) # arrange(): ascending order, desc(): descending order
## Value
## 1 8736
## 2 7836
## 3 7638
## 4 3786
## 5 3768
Plot the corresponding polygon with the given data below.
# install.packages("tidyverse")
library(tidyverse)
q3_data <- data.frame(X = c(-4,3,3,1,1,-4),
Y = c(3,3,-2,-2,-5,-5))
ggplot(q3_data,aes(x = X,y = Y)) +
geom_polygon(fill = "pink",col = "black",lwd = 1.25) +
geom_point(size = 3) +
coord_equal() +
theme_gray()
Find the cube root of 172 correct to 2 decimal places.
# install.packages("pracma")
library(pracma)
##
## Attaching package: 'pracma'
## The following object is masked from 'package:purrr':
##
## cross
result <- nthroot(x = 172,n = 3) # x = 172 (our value),n = 3 (cube root)
cat("The cube root of 172 correct to 2 decimal places is:",round(result,2),"\n")
## The cube root of 172 correct to 2 decimal places is: 5.56
What is \(\int \sqrt[3]{x} \space dx\)?
# install.packages(c("ggformula","mosaicCalc","pracma"))
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
## 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
library(pracma)
f <- makeFun(nthroot(x,3) ~ x)
anti_f <- antiD(f(x) ~ x)
anti_f
## function (x, C = 0)
## {
## F <- makeF(nthroot(x, 3))
## evalFun(F, x = x, .const = C)
## }
## <environment: 0x000002350f3c0f20>