srusfert.blogg.se - Ggplot2 scatter plot continuous palette

#GGPLOT2 SCATTER PLOT CONTINUOUS PALETTE SERIES#

By default, the colours are presumed to be equally spaced along the scale, but if you prefer you can specify a vector of values that correspond to each of the reference colours. The third method is to use scale_fill_gradientn() which takes a vector of reference colours as its argument, and constructs a scale that linearly interpolates between the specified values. Note that the mid argument specifies the colour to be shown at the intermediate point, and midpoint is the value in the data at which this colour is used (the default is midpoint = 0). The second plot has the same endpoints but uses scale_fill_gradient2() to interpolate first from grey to white ( #ffffff) and then from white to brown. The first plot uses a scale that linearly interpolates from grey (hex code: "#bebebe") at the low end of the scale limits to brown ( "#a52a2a") at the high end. The use of gradient scales is illustrated below. scale_fill_gradientn() produces an n-colour gradient.scale_fill_gradient2() produces a three-colour gradient with specified midpoint.

scale_fill_gradient() produces a two-colour gradient.

There are three functions that you can use for this purpose: All you need to do is specify two or more reference colours, and ggplot2 will interpolate linearly between them. Gradient scales provide a robust method for creating any colour scheme you like.

18.4.1 Indirectly referring to variablesĮrupt erupt + scale_fill_continuous() erupt + scale_fill_gradient().

15.2.3 Map projections with coord_map().

15.2.2 Polar coordinates with coord_polar().

15.2.1 Transformations with coord_trans().

15.1.2 Flipping the axes with coord_flip().

15.1.1 Zooming into a plot with coord_cartesian().

13.4.1 Specifying the aesthetics in the plot vs. in the layers.

10.7.4 guide_coloursteps() / guide_colorsteps().

10.7.3 guide_colourbar() / guide_colorbar().

8.2 Arranging plots on top of each other.

4.4 Matching aesthetics to graphic objects.

4.2 Different groups on different layers.

#GGPLOT2 SCATTER PLOT CONTINUOUS PALETTE SERIES#

2.6.5 Time series with line and path plots.2.6.3 Histograms and frequency polygons.2.4 Colour, size, shape and other aesthetic attributes.1.3 How does ggplot2 fit in with other R graphics?.ggplot2: elegant graphics for data analysis.