![]() ![]() In addition to the x, y (and z) values, an additional data dimension can be represented by a color variable (argument colvar). Plot3D, from Karline Soetaert, is an R package containing many functions for 2D and 3D plotting: scatter3D, points3D, lines3D, text3D, ribbon3d, hist3D, etc. To close the discussion about 3D, in this tutorial I’ll describe the impressive plot3D package and its extension plot3Drgl package. In my previous articles, I already described how to make 3D graphs in R using the package below: 3D fancy Scatter plot with small dots on basal plane.Add points and text to an existing plot.Change the type of the box around the plot.Functions for scatter plots and texts in 2D and 3D.Let us consider the following matrix which is derived from our Titanic dataset. Each column of the matrix will be represented by a stacked bar. If the input is a matrix, a stacked bar is plotted. ![]() Now that we have our data in the required format, we can plot survival for example, as barplot(margin.table(Titanic,4)) or plot male vs female count as barplot(margin.table(Titanic,2)).Īs mentioned before, barplot() function can take in vectors as well as matrices. # gives total count if index is not provided This function sums up the table entries according to the given index. In this case we can use the margin.table() function. Suppose we wanted to bar plot the count of males and females. We can see that this data has 4 dimensions, class, sex, age and survival. "This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner 'Titanic', summarized according to economic status (class), sex, age and survival."-R documentation. For example, let us take the built-in Titanic dataset. Sometimes the data is in the form of a contingency table. Note below, that we define the argument density to shade the bars. Now plotting this data will give our required bar plot. This count can be quickly found using the table() function, as shown below. But we want to know the number of students in each age category. It will plot 10 bars with height equal to the student's age. Simply doing barplot(age) will not give us the required plot. For example, here is a vector of age of 10 college freshmen. ![]() Sometimes we have to plot the count of each item as bar plots from categorical data. We can also plot bars horizontally by providing the argument horiz = TRUE. Some of the frequently used ones are, main to give the title, xlab and ylab to provide labels for the axes, names.arg for naming each bar, col to define color etc. You can read about them in the help section ?barplot. ![]() This function can take a lot of arguments to control the way our data is plotted. Now we can make a bar plot out of this data. Let us suppose, we have a vector of maximum temperatures (in degree Celsius) for seven days as follows. If we supply a vector, the plot will have bars with their heights equal to the elements in the vector. We can supply a vector or matrix to this function. Bar plots can be created in R using the barplot() function. ![]()
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