I have data (depth over time) that I want to display with a line plot. For clarity, I want to zoom in on a section but still show the user that the data continues outside the bounds of the plot. So I want the lines to stop at the plot's edge, rather than at the last point. This is straightforward enough in base graphics but I can't make it work in ggplot. Here's an example with base:
d <- data.frame(x = 1:10, y = 1:10)
plot(d$x, d$y, xlim = c(2,9))
lines(d$x, d$y)
A similar approach with ggplot doesn't work; the lines stop at the last point. Example:
d <- data.frame(x = 1:10, y = 1:10)
ggplot(d, aes(x, y)) + geom_point() + geom_line() + xlim(2,9)
Is there a way to get lines to run to the plot's edge in ggplot? Thanks.
%>% is a pipe operator reexported from the magrittr package. Start by reading the vignette. Introducing magrittr. Adding things to a ggplot changes the object that gets created. The print method of ggplot draws an appropriate plot depending upon the contents of the variable.
We can plot a smooth line using the “loess” method of the geom_smooth() function. The only difference, in this case, is that we have passed method=loess, unlike lm in the previous case. Here, “loess” stands for “local regression fitting“. This method plots a smooth local regression line.
A scatter plot can be created using the function plot(x, y). The function lm() will be used to fit linear models between y and x. A regression line will be added on the plot using the function abline(), which takes the output of lm() as an argument. You can also add a smoothing line using the function loess().
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.
try this
d <- data.frame(x = 1:10, y = 1:10)
ggplot(d, aes(x, y)) + geom_point() + geom_line() + coord_cartesian(xlim = c(0,9))
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