categorical ploting using ggplot2

General
1

Hi, I'm trying to plot a categorical variable, the code works if i plot all categories and separate them by color. this is fine but it is not what I want. Instead, i want to isolate the categories such that the plot only shows points of a single category. i have set my aesthetics individualy because i want to have various plots from the same data on a single canvas so that i can do comparison. the code gives me an error as shown below.

ggplot(data) + geom_point(aes(x= A[gender == "male"],y = B [gender == "male"])) +
geom_smooth(aes (x= A[gender == "female"],y = B [gender == "female"]), method= 'lm' , se = F)

Error: Must subset columns with a valid subscript vector.
i Logical subscripts must match the size of the indexed input.
x Input has size 12 but subscript gender == "male" has size 1296.
Run rlang::last_error() to see where the error occurred

2

Hello and Welcome to the forum, I hope you will find us friendly and helpful.

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

3

say for example i'm using the iris data-set as you illustrated above. i want to plot the sepal.width vs sepal.length with respect to the species column. But instead of color coding each species on the plot, i want the plot to display only the data from the setosa species alone

for me to plot it by color it would be

ggplot(iris, aes(x=sepal.length, y= sepal.width), col= species )+ geom_point()

but in my case i want to draw a specific specie from the species column. what i have tried was:

ggplot(iris, aes(x=sepal.length[species=="setosa], y= sepal.width[species=="setosa]))+ geom_point()

after running the code, it produces the error:

Error: Must subset columns with a valid subscript vector.
i Logical subscripts must match the size of the indexed input.
x Input has size 12 but subscript gender == "male" has size 1296.
Run rlang::last_error() to see where the error occurred

in my case,"gender" and "male" represents the variable and subset category similar to"species" and "setosa" in the iris dataframe

4

Hi, you can set an entire plot, or even just one geom to use a subset of the data, but you would do it like this, with a formula and on the data portion, reserve the aes for only assigning variables to roles.

ggplot(iris) + geom_point(data=~filter(.x,
                                       Species=='setosa'),
                          aes(y=Petal.Length,x=Species))
1 Like
5

thank you. I have applied the data=~filter (.x, function and the code is now running as intended. the correct function I applied was:

ggplot(iris) + geom_point(data=~filter(.x,Species=='setosa'),
aes(y=sepal.width,x=sepal.length))

6

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Thanks

7

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