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I wonder if it's possible to create a similar set of figures in ggplot2 and just change the data somehow. For instance, I can create a function to accomplish this task:
plot1 <- function(data) ggplot(data) + geom_line(aes(x,y)) + theme_bw()
plot1(data)
plot1(newdata)
But is it possible to save and reuse a set of components in some manner like this? (obviously this does not work):
g <- geom_line(aes(x,y)) + theme_bw()
ggplot(data) + g
ggplot(newdata) + g
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You may notice that we sometimes reference 'ggplot2' and sometimes 'ggplot'. To clarify, 'ggplot2' is the name of the most recent version of the package. However, any time we call the function itself, it's just called 'ggplot'.
geom_point.Rd. The point geom is used to create scatterplots. The scatterplot is most useful for displaying the relationship between two continuous variables.
ggplot2 is a R package dedicated to data visualization. It can greatly improve the quality and aesthetics of your graphics, and will make you much more efficient in creating them. ggplot2 allows to build almost any type of chart.
Using ggplot in Python allows you to build visualizations incrementally, first focusing on your data and then adding and tuning components to improve its graphical representation. In the next section, you'll learn how to use colors and how to export your visualizations.
There are the +.gg methods described here
These are
%+% and %+replace% which will update / replace elements in ggplots and themes
eg
p <- ggplot(mtcars, aes(x =wt, y = mpg,colour = hp)) + geom_point()
# change the variable mapped to y
p %+% aes(y = am)
# change the data set
p %+% mtcars[1:10,]
Or you can combine the elements as a list
eg
#
g <- list(geom_line(aes(x,y)),theme_bw())
ggplot(data) + g
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