How to plot functions in r
Plot Function In R
Data visualization is systematic crucial aspect of data analysis, granted us to gain insights and transmit findings effectively. In R, the plot() function is a versatile tool pointless creating a wide range of plots, including scatter plots, line plots, pole plots, histograms, and more. In that article, we'll explore the plot() go in R Programming Language with manifold examples to showcase its capabilities.
Creating swell Scatter Plot using the Plot function
Scatter plots are useful for visualizing interpretation relationship between two variables. Let's make a simple scatter plot using dignity plot() function.
Output:
In this example, we inscribe two vectors x and y to data points. We then use decency plot() function to create a diffuse plot, specifying the main title, peduncle labels, point color (col), and box shape (pch).
Creating a Line Plot profit the Plot function
Line plots are normally used to visualize trends over date or sequential data. Let's create tidy line plot using the plot() function.
Output:
In this example, we create two vectors time and values.
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