geom_abline () is like saying y=ax+b, and you specify the slope and intercept. geom_line () plots a line fitting data. Check the docs.ggplot2.org site as @Dennis commented. So you have two options here. If your regression line is linear, use geom_abline () and specify your slope and intercept, or, if you want to plot predicted data, use geom Use the geom_area function to create an area chart in ggplot2. Learn how to change the level of transparency or the color of the area. Search for a graph. R CHARTS. And since {ggplot2} is capable of building all three of those things, so I decided to use it build a flowchart. This blog post illustrates the process of doing so. R packages required. I used four packages in creating the flowchart (technically more, since {tidyverse} is a collection of packages!). This tutorial uses both dplyr and ggplot2. If you are new to either of these R packages, we recommend the following NEON Data Skills tutorials before working through this one. Subset & Manipulate Time Series Data with dplyr tutorial. Plotting Time Series with ggplot in R tutorial. See Colors (ggplot2) and Shapes and line types for more information about colors and shapes. Handling overplotting. If you have many data points, or if your data scales are discrete, then the data points might overlap and it will be impossible to see if there are many points at the same location. . This was done using ggplot2 2.1.0. I think you can do exactly what the OP wished, just by switching the parenthesis so that they encompass the entire if statement.. Here is an example that add a horizontal line depending on if Swtich is T or F. When hjust=1, the box is moved half a box width left from centered, which puts the right edge on the reference point. If hjust=2, the right edge of the box is a box width left of the reference point (center is 2-0.5=1.5 box widths left of the reference point. For vertical, less is up and more is down. To achieve your desired result. Split your dataframe by group using e.g. split; Use lapply to loop over the list of splitted data frames to create your plots or if you want to add the group labels to the title you could loop over names(df_split). This particular example plots multiple lines in a single plot in ggplot2 using data from two different data frames. By specifying the data frame names at the geom() level, we’re able to include data from multiple data frames in a single plot. The following example shows how to use this syntax in practice. Example: Create Plot in ggplot2 Using By default, ggplot2 uses (I believe) a color palette based on evenly-spaced hue values. There are other functions built into the library that use either Brewer palettes or Viridis colorspaces. There are other functions built into the library that use either Brewer palettes or Viridis colorspaces.

how to use ggplot in r