R Plot

The plot() function in R is a versatile function for creating a variety of plots.
Syntax plot(x, y, ...)

Example

x <- c(5,6,7,8,9)
y <- c(10,11,12,13,14)

plot(x,y)

Above example is based on two vector points.
We can also use 1 point in a plot() function.
and we can use numeric values instead of a vectors.

Example

plot(1)
If we need to plot from a sequence of numbers you can keep the values from start to end in this format x:y

Example

x <- 1
y <- 5
plot(x:y) # plot(1:5)

Attributes in a plot

There are various attributes in a plot() function to describe and apply the values given.

Attribute

Description

Example

Main Title (main)

Main title of the plot.

plot(x, y, main = "Scatter Plot")

Axis Labels (xlab and ylab)

  1. xlab - Label for the x-axis.
  2. ylab - Label for the y-axis.

plot(x, y, xlab = "X-axis", ylab = "Y-axis")

Plot Type (type)

Type of plot (e.g., "p" for points, "l" for lines).

plot(x, y, type = "p")

Point Characteristics (col, pch, cex, lty)

  1. col - Point color.
  2. pch - Point shape.
  3. cex - Point size.
  4. lty - Line type.

plot(x, y, col = "blue", pch = 16, cex = 1.5, lty = 2)

Plotting Multiple Sets of Data

Use additional arguments like points() or lines() to overlay multiple sets of data

plot(x1, y1, col = "red"); points(x2, y2, col = "blue", pch = 2)

Axes (xlim and ylim)

  1. xlim - Limits for the x-axis.
  2. ylim - Limits for the y-axis.

plot(x, y, xlim = c(0, 10), ylim = c(-2, 2))

Grid (grid)

Adds a grid to the plot.

plot(x, y, grid = TRUE)

Adding Lines (abline)

Adds lines to the plot.

plot(x, y); abline(h = 0, v = 0, col = "red", lty = 2)


Example

# Sample data
set.seed(123)
x <- rnorm(50)
y <- 2 * x + rnorm(50)

# Create a scatter plot with customization
plot(
  x, y,
  main = "Scatter Plot with Customization",
  xlab = "X-axis",
  ylab = "Y-axis",
  col = "blue",
  pch = 16,
  cex = 1.5,
  xlim = c(-2, 2),
  ylim = c(-4, 4),
  grid = TRUE
)

# Add a regression line
abline(lm(y ~ x), col = "red", lty = 2)

# Add points with different color and shape
points(x[25:30], y[25:30], col = "green", pch = 3)

# Add a legend
legend("topright", # Specify the position of the legend
legend = c("Data", "Regression Line", "Additional Points"), # Legend text
col = c("blue", "red", "green"), # Line colors corresponding to each distribution
pch = c(16, NA, 3), # Line colors corresponding to each distribution
lty = c(NA, 2, NA), # Line type
cex = 0.8 # Point size)

The legend function is used to add a legend to the plot.
Inside legend function we have
The position of the legend, legend text and col specifies the line colors.

Types of plot

There are different types of plot. Here are the list

Type Argument

Description

Example

p

Scatter Plot

plot(x, y, type = "p")

l

Line Plot

plot(x, y, type = "l")

b

Both Points and Lines

plot(x, y, type = "b")

s

Step Plot

plot(x, y, type = "s")

h

Histogram

plot(x, y, type = "h")

S

Staircase Plot

plot(x, y, type = "S")

e

Error Bars

plot(x, y, type = "e")

box

Box Plot

plot(x, type = "box")

contour

Contour Plot

plot(x, y, type = "contour")

heatmap

Heatmap (with matrix data)

plot(matrix_data, type = "h")


Learn more about them in detail in the tutorial.

Quick Recap - Topics Covered

R Plot
Attributes in a plot
Types of Plot

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