Add different colors to the points based on their group.Create a scatter plot for Sales and Gross Margin and group the points by OrderMethod.Use the summary() function to explore the data.We will illustrate this using the hsb2 data file. Download and load the Sales_Products dataset in your R environment R makes it very easy to create a scatterplot and regression line using an lm object created by lm function.The legend function can also create legends for colors, fills, and line widths.The legend() function takes many arguments and you can learn more about it using help by typing ?legend. > legend("topleft", c("Camping Equipment","Golf Equipment","Mountaineering Equipment", "Outdoor Protection", "Personal Accessories"), pch=1:5) In our case, we are creating legend for points, so we will provide the forth argument pch which is also a vector indicating that we are labeling the points by their type. You can create legends for points, lines, and colors. You also need to specify a fourth argument that varies depending on what you're labeling. The third argument "legend" is a vector of the character strings to appear in the legend. Alternatively you need to specify the y-coordinate for the top-left corner of the legend. If you choose option 1 for specifying x, then y can be skipped. 2) Use an x-coordinate for the top-left corner of the legend. There are two ways to specify x: 1) Specify the position by using "topleft", "topright", etc. X, y are the coordinates for the legend box. We can do so by calling the legend function after the plot function. Now that we have different symbols being used for different groups, we can make the graph even more convenient by adding a legend to it. If you plot the chart again, the numbers would display correctly. Changing Themes (Look and Feel) in ggplot2 in Rĭownloads > setwd("C:/r-programming/data").Facets for ggplot2 Charts in R (Faceting Layer).stat_summary for Statistical Summary in ggplot2 R.Add a Statistical Layer on Line Chart in ggplot2.ggplot2 - Chart Aesthetics and Position Adjustments in R.Create ggplot Graph with German Credit Data in R.Data Import and Basic Manipulation in R - German Credit Dataset.
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