A signal’s total energy is represented by the definite integral below. Solve and graph this.
\[\int_{0}^{\frac{\pi}{2}} \sin(3x) \cos(3x) dx\]
# install.packages("tidyverse")
library(tidyverse)
## Warning: package 'lubridate' was built under R version 4.5.2
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
f <- function(x) {
sin(3 * x) * cos(3 * x)
}
total_energy <- integrate(f,lower = 0,upper = pi / 2)$value
x_values <- seq(0,3 * pi / 5,length.out = 500)
y_values <- f(x_values)
q1_data <- data.frame(x = x_values,y = y_values)
ggplot(q1_data,aes(x = x,y = y)) +
geom_line(col = "black",lwd = 1.25) +
geom_ribbon(data = subset(q1_data,x >= 0 & x <= pi / 2),
aes(ymin = 0,ymax = y),
fill = "blue") +
labs(title = "Graph of f(x) = sin(3x) cos(3x)",
caption = paste("Total Energy:",round(total_energy,4)),
x = "x",
y = "y") +
theme_gray(base_size = 14)
Put \([2347,2374,3724,3247,4732,7432]\) in descending order.
# install.packages("tidyverse")
library(tidyverse)
q2_data <- data.frame(Numbers = c(2347,2374,3724,3247,4732,7432))
q2_data %>%
arrange(desc(Numbers)) # arrange(): ascending order, desc(): descending order
## Numbers
## 1 7432
## 2 4732
## 3 3724
## 4 3247
## 5 2374
## 6 2347
Construct the polygon with the following points in the data frame below.
# install.packages("tidyverse")
library(tidyverse)
q3_data <- data.frame(X = c(0,-3,-6,-6,-3,-3,-6,-6,2,2,-1,-1,2,2),
Y = c(1,1,1,4,4,7,7,10,10,7,7,4,4,1))
ggplot(q3_data,aes(x = X,y = Y)) +
geom_polygon(fill = "lightblue",alpha = 0.5,color = "black",lwd = 1.25) +
geom_point(size = 3) +
coord_equal() +
theme_gray()
Find the cube root of -836 correct to two decimal places.
# install.packages("pracma")
library(pracma)
##
## Attaching package: 'pracma'
## The following object is masked from 'package:purrr':
##
## cross
value <- nthroot(x = -836,n = 3)
cat("The cube root of -836 is:",round(value,2),"\n")
## The cube root of -836 is: -9.42
What is \(\int x(3x^2 - 2) dx\)?
# install.packages(c("ggformula","mosaicCalc"))
library(ggformula)
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## Loading required package: ggiraph
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##
## 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
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## Attaching package: 'mosaicCalc'
## The following object is masked from 'package:stats':
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## D
g <- makeFun(x * (3 * x^2 - 2) ~ x)
anti_g <- antiD(g(x) ~ x)
anti_g
## function (x, C = 0)
## (3 * x^4 - 4 * x^2)/4 + C