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I would like to plot a time series that look like this:
what I plot with:
qplot(Jahr, Wert, data=tu, group = Geschlecht, color = Altersgr) + facet_grid(Geschlecht ~ Land) My data looks like this:
Land Altersgr Geschlecht Jahr Wert 1 DE < 20 J. m 2000 13.0 2 DE 20-<65 J. m 2000 25.7 3 DE 65+ J. m 2000 70.1 4 DE 65-<80 J. m 2000 44.2 5 DE 80+ J. m 2000 213.5 6 BB < 20 J. m 2000 26.8 Everything is fine so far. But I have to connect the corresponding points (same color) with a line. I couldn't figure out how to do that. If I use geom_line() I got this result:
Which is not what I want... I just have the feeling I overlook something...
Any suggestions? Thanks for y'all help.
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segment() function in R Language is used to draw a line segment between to particular points. Parameters: x, y: coordinates to draw a line segment between provided points. Here, x0 & y0 are starting points of the line segment and x1 & y1 are ending points of line segment .
To create a vertical line using ggplot2, we can use geom_vline function of ggplot2 package and if we want to have a wide vertical line with different color then lwd and colour argument will be used. The lwd argument will increase the width of the line and obviously colour argument will change the color.
The function geom_point() adds a layer of points to your plot, which creates a scatterplot.
geom_line() connects them in order of the variable on the x axis. geom_step() creates a stairstep plot, highlighting exactly when changes occur. The group aesthetic determines which cases are connected together.
You may find that using the `group' aes will help you get the result you want. For example:
tu <- expand.grid(Land = gl(2, 1, labels = c("DE", "BB")), Altersgr = gl(5, 1, labels = letters[1:5]), Geschlecht = gl(2, 1, labels = c('m', 'w')), Jahr = 2000:2009) set.seed(42) tu$Wert <- unclass(tu$Altersgr) * 200 + rnorm(200, 0, 10) ggplot(tu, aes(x = Jahr, y = Wert, color = Altersgr, group = Altersgr)) + geom_point() + geom_line() + facet_grid(Geschlecht ~ Land) Which produces the plot found here:
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