In R, graphs are typically created interactively. # Creating a Graph attach(mtcars) plot(wt, mpg) abline(lm(mpg~wt)) title("Regression of MPG on Weight") Powered By The plot( ) function opens a graph window and plots weight vs. miles per gallon.The next line of code adds a regress...
Creating Graphs with RSarkar, Deepayan
The R base functionplot() can be used to create graphs. plot(x = my_data$wt, y = my_data$mpg, pch = 16, frame = FALSE, xlab = "wt", ylab = "mpg", col = "#2E9FDF") Saving graphs If you are working with RStudio, the plot can be exported from menu in plot panel (lowe...
Creating graphs with maps In this recipe, you will learn how to plot data on maps. Getting ready In order to plot maps in R, we need to install the maps library. Here's how to do it: install.packages("maps") When you run the preceding command, you will most likely be prompted by...
Polar Contour thea(x)r(y) Yes Yes No Polar Contour r(x)thea(y) Ternary Contour Yes No No The (Plot Details) Color Map/Contours and Label tabs provide controls for editing your contour graphs. Note that a contour plot in Origin can be created from matrix data, worksheet data, or...
In this chapter, you will learn to further enhance your shinydashboard by inserting interactive elements. These will include graphs, geospatial maps, and tables that dashboard users can interact with in real-time. Ver detalles Interactive plots with plotly50 XP Creating your own plotly plots100 ...
Creating line graphs Line graphs are generally used to look at trends in data over time, so the x variable is usually time expressed as time of day, date, month, year, and so on. In this recipe, we will see how we can quickly plot such data using the same plot() function that was...
Running total is available on all graphs except Scorecard. This function can be combined with the “To Current Date Comparison” to compare sales to date with the same period in a previous year. Grouping in charts where fields contain multiple values ...
Heat maps are colorful images that are very useful to summarize a large amount of data by highlighting hotspots or key trends in the data. How to do it... There are a few different ways to make heat maps in R. The simplest is to use theheatmap()function in the base library: ...
R codes for creating metamapp graphs and files. Contribute to barupal/metamapp development by creating an account on GitHub.