How to Make a Line Plot in R

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DataDaft

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53,300

Published on November 6, 2019 4:56:06 PM ● Video Link: https://www.youtube.com/watch?v=Fgdna3Eikak

Category:

Tutorial

Duration: 2:16

15,707 views

128

Line plots are a common type of data visualization used to show changes in numeric variables over time.

Code used in this code clip:

library(tidyverse)

data ＜- data.frame(year=c(1960:2019),
values1 = runif(60, -1, 1) * 10 + 1:60,
values2 = runif(60, -1, 1) * 5 + (1:60) * 0.5,
values3 = runif(60, -1, 1) * 7 + 30 - (1:60)/3)

# Line plot in base R
plot(x = data$year, y = data$values1, type='l')

# Add points to plot
points(x = data$year, y = data$values1)

# Line plot in ggplot2
data %＞% ggplot(aes(x = year, y = values1)) +
geom_line()

# Line plot in ggplot2 with groups
data %＞% gather(key = "group", value = "values", -year) %＞%
ggplot(aes(x = year, y = values, color = group)) +
geom_line(lwd = 1.5) +
geom_smooth(method = 'lm') +
scale_color_manual(values = c("tomato3","goldenrod","skyblue2"))



Code Clips are basic code explanations in 3 minutes or less. They are intended to be short reference guides that provide quick breakdowns and copy/paste access to code needed to accomplish common data science tasks. Think Stack Overflow with a video explanation.


* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above may not be exactly the same as the code shown in the video! For R that means I may use = for assignment and the special Unicode large ＜ and ＞ symbols in place of the standard sized ones for dplyr pipes and comparisons. These special symbols should work as expected for R code on Windows, but may need to be replaced with standard greater than and less than symbols for other operating systems.