![]() Mtext("Top higher text", side = 3, line = 2. Mtext("Top-right text", side = 3, adj = 1) Mtext("Bottom-left text", side = 1, adj = 0) plot(x, y, main = "Main title", cex = 2, col = "blue") In the following code block some examples are shown for both functions. On the other, the text function allows you to add text or formulas inside the plot at some position setting the coordinates. You just need to change the side and adj to obtain the combination you need. Take your base R barplot to the next step: modify axis, label orientation, margins, and more. There are 12 combinations (3 on each side of the box, as left, center and right align). On the one hand, the mtext function in R allows you to add text to all sides of the plot box. Note that the dev.cur function counts the number of current available graphics devices. While (dev.cur() > 1) dev.off() # Equivalent Let’s assume that we want to modify our x-axis tick marks so that the currently shown numbers are replaced by upper case letters. You can also clear the plot window in R programmatically with dev.off function, to clear the current window and with graphics.off, to clear all the plots and restore the default graphic parameters. Example: Changing X-Axis Values to Letters. ![]() Note that in RStudio you can navigate through all the plots you created in your session in the plots pane. ![]() In addition to being able to open and set the size of the window, this functions are used to avoid overriding the plots you create, as when creating a new plot you will lose the previous. It should be noted that in RStudio the graph will be displayed in the pane layout but if you use the corresponding function, the graph will open in a new window, just like in R base. For that purpose, you can use of the height and width arguments of the following functions, depending on your system. However, you may need to customize the height and width of the window, that defaults to 7 inches (17.78 cm). When creating plots in R base they will be opened in a new window. Plot(fun, 0, 10, main = "Plot a function") Plot(my_dates, rnorm(50), main = "Time based plot") Plot(my_factor, rnorm(32), main = "Boxplot") We can modify them and change their appearance easily. If you execute the following code you will obtain the different plot examples. By default, R will use the variables provided in the Data Frame as the labels of the axis. Plot of the function between the lower and maximum value specified Function and argumentsīoxplot of the numeric vector and the levels of the factorĬorrelation plot of all dataframe columns (more than two columns) In the following table we summarize all the available possibilities for the base R plotting function. With the plot function you can create a wide range of graphs, depending on the inputs. ![]() You can create a plot of the previous data typing: # Plot the data We are going to simulate two random normal variables called x and y and use them in almost all the plot examples. Reading the ggplot book would be worthwhile for more complex graphs.The R plot function allows you to create a plot passing two vectors (of the same length), a dataframe, matrix or even other objects, depending on its class or the input type. There are some more breaks we can do as well as labeling techniques. We can even set the tick marks to be different words. We now change just the tick marks and scale of the y-axis. We can also force different axes to be on a discrete scale rather than continuous. We see that just like the axes above we now have three different legends with the tick marks and labels of them changed. This means if we are creating a continuous scale with a bar graph coloring or even a heat map we can change the tick marks on the legend as well. Finally the third plot changes the text at these tick marks.Īs it was state before ggplot2 considers axes and legends to be the same type. Then in the second plot we force the tick marks to show at 20. We can see that the above code creates a scatterplot called axs where originally the x and y axes are not labeled and R chooses the tick marks. The breaks argument controls what values appear as the tick marks on axes and keys. We not only like to be able to change the labels of scales but it can be helpful to choose the tick marks as well.
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