R is very important to analysts because it has a wide range of techniques for graphically interpreting data. The main styles are: dot plot, density plot (can be classified as histograms and kernel), line graphs, bar graphs (stacked, grouped and simple), pie charts (3D,simple and expounded), line graphs(3D,simple and expounded), box-plots(simple, notched and violin plots), bag-plots and scatter-plots (simple with fit lines, scatter-plot matrices, high-density plots and 3-D plots). The foundational function for creating graphs: plot(). This includes how to build a graph, from adding lines and points to attaching a legend.
The plot() Function:
The plot () function forms many foundations for R's basic graphics operations and serves as a means for creating many different types of graphics. plot () is a placeholder for a generic function or function family. The actual function that is called depends on the class of the object that is called.
The basic syntax for plot() function is
*plot(v, type, col, xlab, ylab) *
v is a vector containing the numeric values.
type takes the value "p" to draw only the points, "l" to draw only the lines and "o" to draw both points and lines.
xlab is the label for x axis.
ylab is the label for y axis.
main is the Title for the chart.
col is used to give colors to both the points and lines.
Examples of plot function :
1.
# Define the cars vector with 5 values
cars <- c(1, 3, 6, 4, 9)
# Graph the cars vector with all defaults
plot(cars)
The default argument of type is points
2.
# Define the cars vector with 5 values
cars <- c(1, 3, 6, 4, 9)
# Graph cars using blue points with lines
plot(cars, type="o", col="blue")
# Create a title with a red, bold/italic font
title(main="Autos",col.main="red", font.main=4)
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