Ggplot2 scale_shape_ handboek

Description. scale_*_steps creates a two colour binned gradient (low-high), scale_*_steps2 creates a diverging binned colour gradient (low-mid-high), and scale_*_stepsn creates a n-colour binned gradient. These scales are binned variants of the gradient scale family and works in the same way. fileslib. In order for scales to be combined, the breaks, labels, and title must all be the same. You had breaks and labels the same, but not the title. Alternatively, change the scale_shape_manual call to scale_shape_manual (values=vals). > thanks! -- Brian S. Diggs, PhD Senior Research Associate, Department of Surgery Oregon Health & Science University Start by creating a scatter plot using the cars data set: library (ggplot2) p <- ggplot (cars, aes (x = speed, y = dist)) + geom_point () 3 Key functions are available to set the axis limits and scales: Without clipping (preferred). Cartesian coordinates. The Cartesian coordinate system is the most common type of coordinate system. You can use scale_discrete_manual(). library( ggplot2 ) dat <- data.frame ( Type = c( ' A ' , ' B ' , ' C ' ), X = 1 : 3 , Y = 1 : 3 , stringsAsFactors = F ) ggplot( dat , aes( x = X , y = Y )) + geom_point( aes( shape = Type , stroke = Type ), size = 5 ) + scale_shape_manual( values = c( `A` = 3 , `B` = 19 , `C` = 4 ) ) + scale_discrete_manual( aesthetics = " stroke " , values = c( `A` = 2 , `B` = 1 , `C` = 2 ) )
Details. The functions scale_colour_manual (), scale_fill_manual (), scale_size_manual () , etc. work on the aesthetics specified in the scale name: colour, fill, size , etc. However, the functions scale_colour_manual () and scale_fill_manual () also have an optional aesthetics argument that can be used to define both colour and fill aesthetic
>>> >> >> add scale_colour_discrete("") to your call. In order for scales to be >> combined, the breaks, labels, and title must all be the same. You had >> breaks and labels the same, but not the title. Alternatively, change the >> scale_shape_manual call to scale_shape_manual(values=**vals). >> >> >> thanks!