Mfrow combines plots filled by rows i.e it takes two arguments, the number of rows and number of columns and then starts filling the plots by row. Let us combine plots using both the above parameters. These two parameters create a matrix of plots filled by rows and columns respectively.
For combining multiple plots, we can use the graphical parameters mfrow and mfcol. attach (iris) caret::featurePlot (x iris. I could extract them from the full matrix returned by 'pairs ()', but the other plots are not useful in my case.Changing layout to c (1,) wouldn't fit the whole plot properly in a single row when the number of variables is high. Par() allows us to customize the graphical parameters(title, axis, font, color, size) for a particular session. I want to get a 1D array of scatterplots, all against a single variable. layout() serves the same purpose but offers more flexibility by allowing us to modify the height and width of rows and columns. par() can be used to set graphical parameters regarding plot layout using the mfcol and mfrow arguments. The Graphics package offers two methods to combine multiple plots. Often, it is useful to have multiple plots in the same frame as it allows us to get a comprehensive view of a particular variable or compare among different variables. In this post, we will learn how to combine multiple plots.
In the previous post, we learnt how to add text annotations to plots. This is the tenth post in the series Data Visualization With R.
