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I have been working with this for some time and can't find any reasonable explanation for why the names of my x and y axis are the correct color, but not the title.
p <- ggplot(movies, aes(x=budget, y=rating))+
geom_point(shape=1) +
theme(axis.title.x = element_text(colour = "#7F3D17"),
axis.title.y = element_text(colour = "#7F3D17"),
axis.title = element_text(colour = "#7F3D17"),
panel.background = element_rect(fill='#FFD197'),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank()) +
labs(x="Budget (in millions)", y="Rating", title="Scatterplot of budget vs movies")
p
The scatterplot looks like this (notice that the title is still black):
If anyone could help I would greatly appreciate it.
413
Change colors manually A custom color palettes can be specified using the functions : scale_fill_manual() for box plot, bar plot, violin plot, etc. scale_color_manual() for lines and points.
We can change the appearance text elements of a plot made with ggplot2 using theme element element_text() function. To make both x and y-axis's title text in bold font, we will use axis. title argument to theme() function with element_text(face=”bold”). Note now both x and y axis's title text are in bold font.
Default ggplot gradient colorsThe default ggplot2 setting for gradient colors is a continuous blue color. In the following example, we color points according to the variable: Sepal. Length . sp2 <- ggplot(iris, aes(Sepal.Length, Sepal.Width))+ geom_point(aes(color = Sepal.Length))
To set labels for X and Y axes in R plot, call plot() function and along with the data to be plot, pass required string values for the X and Y axes labels to the “xlab” and “ylab” parameters respectively. By default X-axis label is set to “x”, and Y-axis label is set to “y”.
You are using axis.title = element_text(colour = "#7F3D17") to get the right color for the title. But you should be using plot.title = element_text(colour = "#7F3D17").
With axis.title you define the setting for both axis, whereas with axis.title.x or axis.title.y you define the setting for the x-axis title or y-axis title specifically.
Because you are using the same color for all the titles, you can also use title = element_text(colour = "#7F3D17") which should set the color of the plot title, axis titles and legend title to the same color.
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