R ggplot2 Line Plot

The R ggplot2 line Plot or chart connects the dots in order of the variable present on the x-axis. Let us see how to Create a ggplot line plot in R, Format its colors, add points to it with an example. For this line chart, we use the economics data set provided by the R.

Syntax

The syntax to draw a ggplot2 line plot in R Programming is

geom_line(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", inherit.aes = TRUE, na.rm = FALSE, show.legend = NA,...)

Create a basic R ggplot2 Line Plot

In this example, we create a basic line plot using the ggplot2 package. For this, we are going to use the economics data set provided by the R Studio.

TIP: ggplot2 package not installed by default. Please refer Install Packages article to install the required package.

library(ggplot2)

ggplot(economics, aes(date, pop)) + 
  geom_line()

NOTE: If you require is to import data from external files, then please refer Read CSV article in R Programming to import the CSV file.

Change Colors of a Line Plot in R

In this example, we show how to change the color using the color argument

library(ggplot2)

ggplot(economics, aes(date, pop)) + 
  geom_line(color = "midnightblue")

arrow argument in an R ggplot2 Line Plot

Use the arrow function to add the arrow at the end of it.

library(ggplot2)

ggplot(economics, aes(date, pop)) + 
  geom_line(color = "midnightblue", arrow = arrow())

In this example, we show how to change the array type to both sides using the ends, and type argument

library(ggplot2)

ggplot(economics, aes(date, pop)) + 
  geom_line(color = "midnightblue", 
            arrow = arrow(ends = "both", type = "closed"))

Change Type of a ggplot2 Line plot

In this example, we show you how to change the type of it.

library(ggplot2)

ggplot(economics, aes(date, pop)) + 
  geom_line(color = "midnightblue",
            linetype = 5,
            arrow = arrow(ends = "both", type = "closed"))

TIP: In R programming, 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash. So, you can use numbers or string as the linetype value

Creating R ggplot2 Line plot

In this example, we are using different data to create this, so that we can explore more arguments present in the geom_line() function

library(ggplot2)

ggplot(economics, aes(date, unemploy)) + 
  geom_line(color = "midnightblue")

Change Line Plot Color using Column Data

In this example. we show you how to add groups and change the colors using column data

library(ggplot2)

ggplot(economics, aes(date, unemploy, group = psavert)) + 
  geom_line(aes(colour = psavert))

Alter Legend position of a R ggplot2 Line plot

By default, ggplot positions the legend on the right side of it. In this example, we change the legend position from right to top. Remember, You can use a legend.position = “none” to altogether remove the legend.

library(ggplot2)

ggplot(economics, aes(date, unemploy, group = psavert)) + 
  geom_line(aes(colour = psavert)) +
  theme(legend.position = "top")

Assigning names

We assign names to the chart, X-Axis, and Y-Axis using labs function.

library(ggplot2)

ggplot(economics, aes(date, unemploy)) + 
  geom_line(colour = "midnightblue") + 
  labs(title="R GGPLOT LINE PLOT", x="Years", y="Unemployed People")

Add points to the Line plot

In this R ggplot line chart, we add the data points using the geom_point() function.

library(ggplot2)

ggplot(economics, aes(date, unemploy)) + 
  geom_line(colour = "midnightblue") + 
  geom_point(color = "seagreen") +
  labs(title="R GGPLOT LINE PLOT", x="Years", y="Unemployed People")

Change Theme

How to change the default theme of a ggplot2 line plot?

• theme_dark(): We use this function to change the default theme to dark. If you type theme_, then R Studio intelligence shows the list of available options. For example, theme_grey()

# Importing the ggplot2 library
library(ggplot2)

# Creating basic
ggplot(economics, aes(date, unemploy)) + 
  geom_line(colour = "midnightblue") + 
  labs(title="R GGPLOT LINE PLOT", x="Years", y="Unemployed People") +
  theme_dark()