How do you color a regression line in R?

How do you color a regression line in R?

By default, the regression line is blue. To change the color we have to use the keyword color inside the geom_smooth( ) function.

How do I change the color of a scatter plot in R?

The different color systems available in R have been described in detail here. To change scatter plot color according to the group, you have to specify the name of the data column containing the groups using the argument groupName . Use the argument groupColors , to specify colors by hexadecimal code or by name .

How do you set a color in R?

In R, colors can be specified either by name (e.g col = “red”) or as a hexadecimal RGB triplet (such as col = “#FFCC00”). You can also use other color systems such as ones taken from the RColorBrewer package.

What is a Ggplot in R?

ggplot2 is a R package dedicated to data visualization. It can greatly improve the quality and aesthetics of your graphics, and will make you much more efficient in creating them. ggplot2 allows to build almost any type of chart.

How do I change the background in R?

Importing a Custom Theme

  1. In the menu bar, open the “Tools” menu.
  2. From the drop down menu, choose “Global Options”.
  3. In the pane on the left hand side of the options window, click “Appearance”.
  4. To import a theme, click on the “Add…” button.
  5. In the file browser, navigate to the location where you’ve saved your theme file.

How do I plot multiple variables in R?

You can create a scatter plot in R with multiple variables, known as pairwise scatter plot or scatterplot matrix, with the pairs function. In addition, in case your dataset contains a factor variable, you can specify the variable in the col argument as follows to plot the groups with different color.

How to plot colors, legends and lines in R?

Mastering R Plot – Part 1: colors, legends and lines 1 Data simulation 2 Adding colors. First plot adding colors for the different treatments, one way to do this is to pass a vector of colors to the col argument in the plot function. 3 Change plotting symbols. 4 Add a legend to the graph. 5 Add regression lines.

How to create a scatterplot with a regression line in R?

Often when we perform simple linear regression, we’re interested in creating a scatterplot to visualize the various combinations of x and y values. Fortunately, R makes it easy to create scatterplots using the plot () function. For example: It’s also easy to add a regression line to the scatterplot using the abline () function.

How to do step by step linear regression in R?

A step-by-step guide to linear regression in R. 1 Step 1: Load the data into R. Follow these four steps for each dataset: 2 Step 2: Make sure your data meet the assumptions. 3 Step 3: Perform the linear regression analysis. 4 Step 4: Check for homoscedasticity. 5 Step 5: Visualize the results with a graph.

How to make a cool graph in R?

This is the first post of a series that will look at how to create graphics in R using the plot function from the base package. There are of course other packages to make cool graphs in R (like ggplot2 or lattice ), but so far plot always gave me satisfaction.