Call cowplot functions without attaching the package. You can do this with one line of code: theme_set(theme_gray())ģ. Revert the default theme back to the ggplot2 default. If you specify a particular theme, the default theme doesn't matter.Ģ. I think it's good practice to always specify a particular theme for each plot, just like I did with + theme_bw() in the example above. If this causes problems, you can use one of the following three approaches to work around them:ġ. The package behaves that way because it was originally written for internal lab uses, and we never use the default theme.
One frequent point of confusion is that the cowplot package changes the default ggplot2 theme.
#Subplot in r how to#
There is also a vignette explaining how to make plots with a shared legend. (The ncol = 2 argument tells save_plot() that there are two plots side-by-side, and save_plot() makes the saved image twice as wide.)įor a more in-depth description of how to arrange plots in a grid see this vignette. The object that plot_grid() returns is another ggplot2 object, and you can save it with ggsave() as usual: p <- plot_grid(iris1, iris2, labels = "AUTO")Īlternatively, you can use the cowplot function save_plot(), which is a thin wrapper around ggsave() that makes it easy to get the correct dimensions for combined plots, e.g.: p <- plot_grid(iris1, iris2, labels = "AUTO") Iris2 <- ggplot(iris, aes(x = Sepal.Length, fill = Species)) + Iris1 <- ggplot(iris, aes(x = Species, y = Sepal.Length)) + I wrote the cowplot package to solve this (and a few other) issues, specifically the function plot_grid(): library(cowplot) One downside of the solutions based on grid.arrange is that they make it difficult to label the plots with letters (A, B, etc.), as most journals require. See the answer by below and this vignette for an equivalent approach but the function allows finer controls on plot location and size, based on this vignette. The plot_grid function in the cowplot is worth checking out as an alternative to grid.arrange. This is pointed out below in many answers below, but I want to highlight this approach with examples equivalent to the above plots.
This not only saves time arranging data, it is necessary when you want two dissimilar plots.įacets are helpful for making similar plots for different groups. This is the equivalent of making two distinct plots using par(mfrow = c(1,2)). Or, use arrangeGrob() in combination with ggsave(), ggsave("foo.pdf", arrangeGrob(plot1, plot2))
#Subplot in r driver#
To print the side effect to a file, specify a device driver (such as pdf, png, etc), e.g. This will plot the output as a side effect. This is useful when the two plots are not based on the same data, for example if you want to plot different variables without using reshape(). The function grid.arrange() in the gridExtra package will combine multiple plots this is how you put two side by side. Reset to what they were before calling the function (so you canĬontinue to augment the original plot).Any ggplots side-by-side (or n plots on a grid) Mfrow, etc.) may cause unexpected results).Īfter the function completes the graphical parameters will have been If type is 'fig' then theĪny graphical parameter settings that you would like to be in placeīefore fun is evaluated can be specified in the parsĪrgument (warning: specifying layout parameters here ( plt, The rectangle defined by x, y, size, vadj,Īnd hadj will be used as the plotting area of the new plot.Īny tick marks, axis labels, main and sub titles will be outside of Hadj/ vadj are not specified, they will be set appropriately. Means inset 10% of the width/height of the plotting distance. The inset argument is in proportion of the plot units, so 0.1
Position of the subplot to be specified as 'topleft' or 'bottom', etc. That dimension) using also the inset argument. Strings "left", "right", "top", and "bottom" and x and y will be setĪppropriately (anything not specified will be set at the center in If x is a character string, then it will be parsed for the Vadj and hadj to (0,0) will position the lower Is to center a 1 inch by 1 inch plot at x,y. Relative to the point and the size of the plot will be determined by If x and y are given as scalars then the plot position If vectors of length 2 then they determine the oppositeĬorners of the rectangle for the embedded plot (and the parameters The coordinates x and y can be scalars or vectors of Passing this list to par willĮnable you to augment the embedded plot. A list of parameters to be passed to par beforeĪn invisible list with the graphical parameters that were in effect
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