Question 2: Reproduce Figure 2.4 using geom_histogram(aes(y = ..density..)) as shown below for Example 2.5. ggplot_build() extracts the computed values for the histogram. Use the extracted vales to confirm that the areas of all bars of the density histogram sum up to 1. h <- covid19_trial %>% ggplot (aes (age)) + geom_histogram ( aes (y = ..density..), binwidth = 2, color='black', fill = 'grey' ) densities <- ggplot_build (h) $data [[1]] Example 2.5 (COVID-19 Treatment Study). A 2020 National Institutes of Health (NIH) sponsored study to evaluate if a treatment for COVID-19 is effective planned to enroll 20 subjects and randomly assign 10 to the treatment and 10 to a fake treatment (placebo). Effectiveness was evaluated by the proportion of participants who died from any cause or were hospitalized during the 20-day period from and including the day of the first (confirmed) dose of study treatment [Clinicaltrial.gov, 2020]. 27 31 age 33 35 FIGURE 2.4: Distribution of Age-COVID-19 Study: Histogram 37
Question 2: Reproduce Figure 2.4 using geom_histogram(aes(y = ..density..)) as shown below for Example 2.5. ggplot_build() extracts the computed values for the histogram. Use the extracted vales to confirm that the areas of all bars of the density histogram sum up to 1. h <- covid19_trial %>% ggplot (aes (age)) + geom_histogram ( aes (y = ..density..), binwidth = 2, color='black', fill = 'grey' ) densities <- ggplot_build (h) $data [[1]] Example 2.5 (COVID-19 Treatment Study). A 2020 National Institutes of Health (NIH) sponsored study to evaluate if a treatment for COVID-19 is effective planned to enroll 20 subjects and randomly assign 10 to the treatment and 10 to a fake treatment (placebo). Effectiveness was evaluated by the proportion of participants who died from any cause or were hospitalized during the 20-day period from and including the day of the first (confirmed) dose of study treatment [Clinicaltrial.gov, 2020]. 27 31 age 33 35 FIGURE 2.4: Distribution of Age-COVID-19 Study: Histogram 37
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Question 2: Reproduce Figure 2.4 using geom_histogram(aes(y = ..density..)) as shown below for Example 2.5.
ggplot_build() extracts the computed values for the histogram. Use the extracted vales to confirm that the areas
of all bars of the density histogram sum up to 1.
h <- covid19_trial %>%
ggplot(aes (age)) +
geom_histogram (
aes (y = ..density..),
binwidth = 2,
color = 'black',
fill = 'grey'
)
densities <- ggplot_build (h)$data[[1]]
Example 2.5 (COVID-19 Treatment Study). A 2020 National Institutes of
Health (NIH) sponsored study to evaluate if a treatment for COVID-19 is
effective planned to enroll 20 subjects and randomly assign 10 to the treatment
and 10 to a fake treatment (placebo). Effectiveness was evaluated by the
proportion of participants who died from any cause or were hospitalized during
the 20-day period from and including the day of the first (confirmed) dose of
study treatment [Clinicaltrial.gov, 2020].
count
27
29
31
age
33
FIGURE 2.4: Distribution of Age COVID-19 Study: Histogram
39](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faf4d5614-e5fa-4399-aabc-c345eeef0588%2F24cadccd-8151-4cdc-8166-8fe8e9078772%2F5b3z269_processed.png&w=3840&q=75)
Transcribed Image Text:Question 2: Reproduce Figure 2.4 using geom_histogram(aes(y = ..density..)) as shown below for Example 2.5.
ggplot_build() extracts the computed values for the histogram. Use the extracted vales to confirm that the areas
of all bars of the density histogram sum up to 1.
h <- covid19_trial %>%
ggplot(aes (age)) +
geom_histogram (
aes (y = ..density..),
binwidth = 2,
color = 'black',
fill = 'grey'
)
densities <- ggplot_build (h)$data[[1]]
Example 2.5 (COVID-19 Treatment Study). A 2020 National Institutes of
Health (NIH) sponsored study to evaluate if a treatment for COVID-19 is
effective planned to enroll 20 subjects and randomly assign 10 to the treatment
and 10 to a fake treatment (placebo). Effectiveness was evaluated by the
proportion of participants who died from any cause or were hospitalized during
the 20-day period from and including the day of the first (confirmed) dose of
study treatment [Clinicaltrial.gov, 2020].
count
27
29
31
age
33
FIGURE 2.4: Distribution of Age COVID-19 Study: Histogram
39
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