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In this section, use Tufte’s principles of graphical excellence to guide the creation of ggplot2 figures that help the reader understand the variability in the data. Ensure your plots have meaningful titles and axis labels.

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Modify the following code to create a plot that shows the variability in subject weight.

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ggplot(data = Theoph, aes(x = [[0]], y = [[1]]))+

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geom_[[2]]()+ #adding a suitable geometry

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[[3]]+ #adding a theme

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[[4]] #adding axis labels using labs() command. Make sure to specify x then y.

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\n

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Modify the following code to create a plot that shows the variability in dose across all subjects.

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ggplot(data = Theoph, aes(x = [[0]], y = [[1]]))+

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geom_[[2]]()+ #adding a suitable geometry

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[[3]]+ #adding a theme

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[[4]] #adding axis labels using labs() command. Make sure to specify x then y.

\n

\n

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Modify the following code to create a plot that shows the variability in concentration in each subject

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ggplot(data = Theoph, aes(x = [[0]], y = [[1]]))+

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geom_[[2]]()+ #adding a suitable geometry

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[[3]]+ #adding a theme

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[[4]] #adding axis labels using labs() command. Make sure to specify x then y.

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\n

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Modify the following code to create a plot that shows how concentration in the blood stream varies with time

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ggplot(data = Theoph, aes(x = [[0]], y = [[1]]))+

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geom_[[2]]()+ #adding a suitable geometry

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[[3]]+ #adding a theme

\n

[[4]] #adding axis labels using labs() command. Make sure to specify x then y.

\n

\n

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Modify the following code to create a plot that shows how concentration in the blood stream varies with time and subject.

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ggplot(data = Theoph, aes(x = [[0]], y = [[1]]))+

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geom_[[2]]()+ #adding a suitable geometry

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[[3]]+ #adding a theme

\n

[[4]]+ #adding a wrap

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[[5]] #adding axis labels using labs() command. Make sure to specify x then y.

\n

\n

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