![]() ![]() This technique can be applied in other ways too. These refer to the top and bottom (or left and right) limits of the plot. That said, there is one special thing to note in this code: the use of -Inf and Inf as positions. Notice that there is little new here: for the most part, annotating plots in ggplot2 is a straightforward manipulation of existing geoms. Presidential economics $date) ggplot(economics) + geom_rect( aes( xmin = start, xmax = end, fill = party), ymin = - Inf, ymax = Inf, alpha = 0.2, data = presidential ) + geom_vline( aes( xintercept = as.numeric(start)), data = presidential, colour = "grey50", alpha = 0.5 ) + geom_text( aes( x = start, y = 2500, label = name), data = presidential, size = 3, vjust = 0, hjust = 0, nudge_x = 50 ) + geom_line( aes(date, unemploy)) + scale_fill_manual( values = c( "blue", "red")) + xlab( "date") + ylab( "unemployment") To illustrate how ggplot2 tools can be used to annotate plots we’ll start with a time series plotting US unemployment over time: With the default background, a thick white line makes a useful reference: it’s easy to see but it doesn’t jump out at you. Other text properties can be specified, as shown. Typically, you can either put annotations in the foreground (using alpha if needed so you can still see the data), or in the background. The annotate() function can be used to add any type of geometric object. Reference lines (sometimes called rules), that span the full range of the Geom_vline(), geom_hline() and geom_abline() allow you to add Create arrowheads with arrow(), which has These geoms have an arrow parameter, which allows you to place an arrowhead Geom_line(), geom_path() and geom_segment() to add lines. Geom_rect() has aesthetics xmin, xmax, ymin and ymax. ![]() Geom_rect() to highlight interesting rectangular regions of the plot. Geom_text() and geom_label() to add text, as illustrated earlier. The ggplot2 package provides several other tools to annotate plots using the same geoms you would use to display data. ![]() Labelling individual points with text is an important kind of annotation, but it is not the only useful technique. 18.4.1 Indirectly referring to variables.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.2.6.5 Time series with line and path plots.To plot facet in R programming language, we use the facetgrid () function from the ggplot2 library. 2.6.3 Histograms and frequency polygons In this article, we will discuss how to annotate a text on the Individual facet in ggplot2 in R Programming Language.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. ![]()
0 Comments
Leave a Reply. |