library(ggplot2) customize categorical x axis ggplot(mpg, aes(x class)) +. This results in different appearances, as shown below. You can modify the default scales and labels with the functions below. With a coordinate transform, the transformation happens after the breaks and scale range are decided. With a scale transform, the data is transformed before properties such as breaks (the tick locations) and range of the axis are decided.
One is to use a scale transform, and the other is to use a coordinate transform. I am quite new to R and I am trying to create a spaghetti plot to compare in 4 groups the percentage of patients taking rescue medication, at different timepoints (1 hour after surgery, 4 hours, 8. The x and y parameters can be modified using these methods.
The scalexcontinuous () and scaleycontinuous () methods can be used to disable scientific notation and convert scientific labels to discrete form. There are two ways of transforming an axis. Formatting of axes labels is possible to convert the scientific notation to other formats. It is possible to transform the axes with log, power, roots, and so on. # The scale will show only the ones that are within range (3.50-6.25 in this case)īp + scale_y_continuous ( breaks = seq ( 1, 10, 1 / 4 )) # The breaks can be spaced unevenlyīp + scale_y_continuous ( breaks = c ( 4, 4.25, 4.5, 5, 6, 8 )) # Suppress ticks and gridlinesīp + scale_y_continuous ( breaks = NULL ) # Hide tick marks and labels (on Y axis), but keep the gridlinesīp + theme ( axis.ticks = element_blank (), = element_blank ())īy default, the axes are linearly scaled.
# This will show tick marks on every 0.25 from 1 to 10
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