Note: All the line graphs plotted above were through the function plot(). However, there are other libraries/functions also available which help us draw the line graph. One such library is “ggplot2”. GGplot2 Library below is the ggplot2 library which helps to draw line graph in R are ...
So far, we have only used functions of the base installation of the R programming language. However, there are many packages available that provide functions for the drawing of line charts. One of the most powerful packages for the creation of graphics is theggplot2 package. We can install a...
So far, we have created all barplots with the base installation of the R programming language. However, there are multiple packages available that also provide functions for the drawing of barcharts. In this example you’ll learn how to make a basic Barplot with theggplot2 package. First, w...
With theDiagrammeRpackage you can create, modify, analyze, and visualize network graph diagrams. A collection of functions are available for working specifically with graph objects. The output can be viewed in theRStudioViewer, incorporated inRMarkdown, integrated intoShinyweb apps, converted into ot...
showtext provides a set of functions that make it easy to use various types of fonts in R plots ragg provides graphic devices based on the AGG library, which gives direct access to all system fonts, making the usage of custom fonts painless and easy. The following two fonts are going ...
An additional benefit in using the helper functions (for the node/edge aesthetic attributes especially) is that RStudio can provide inline help on attribute names and definitions when typing node_aes( or edge_aes( and pressing the TAB key....
Note that the graphs do not work in the RStudio viewer, and thus open in your default browser. library(sigmajs)# generate datanodes <-sg_make_nodes(25)# 20 nodesedges <-sg_make_edges(nodes,50)# 50 edgessigmajs()%>%# initialisesg_nodes(nodes, id, label, size)%>%# add nodessg_...
Decision Trees in R setwd("D:/RStudio/gganimate/") Let’s create basic ggplot graph and store it in graph 1. graph1 = gapminder %>% ggplot(aes(x=gdpPercap, y=lifeExp, color=continent, size=pop)) + geom_point(alpha = 0.7, stroke = 0) + ...
A correlation matrix can be generated using the cor function which is contained in the stats package. There are a variety of functions for various types of correlation analysis. The cor function provides a fast method to calculate Pearson’s r with a large dataset such...
Have a look at the following video of my YouTube channel. In the video, I illustrate the topics of the present tutorial in RStudio.In addition to the video, you may want to read the other articles on this homepage. Some tutorials are shown below....