How to create line chart and scatterplot in R Programming
Line Chart
A line chart is a graph that connects a series of points by
drawing line segments between them. These points are ordered in one of their
coordinate (usually the x-coordinate) value. Line charts are usually used in
identifying the trends in data.
The plot() function in R is used to create
the line graph.
Syntax
The basic syntax to create a line chart in R is −
plot(v,type,col,xlab,ylab)
Following is the description of the parameters used −
·
v is a vector containing the numeric values.
·
type takes the value "p" to draw only the points,
"l" to draw only the lines and "o" to draw both points and
lines.
·
xlab is the label for x axis.
·
ylab is the label for y axis.
·
main is the Title of the chart.
·
col is used to give colors to both the points and lines.
Example
A simple line chart is created using the input vector and
the type parameter as "O". The below script will create and save a
line chart in the current R working directory.
# Create the data for the chart.
v <- c(7,12,28,3,41)
# Plot the bar chart.
plot(v,type = "o")
Line Chart Title, Color and
Labels
The features of the line chart can be expanded by
using additional parameters. We add color to the points and lines, give a title
to the chart and add labels to the axes.
Example
# Create the data for the chart.
v <- c(7,12,28,3,41)
# Plot the bar chart.
plot(v,type = "o", col = "red", xlab = "Month", ylab = "Rain fall",
main = "Rain fall chart")
Multiple Lines in a Line Chart
More than one line can be drawn on the same chart by
using the lines()function.
After the first line is plotted, the lines() function
can use an additional vector as input to draw the second line in the chart,
# Create the data for the chart.
v <- c(7,12,28,3,41)
t <- c(14,7,6,19,3)
# Give the chart file a name.png(file = "line_chart_2_lines.jpg")
# Plot the bar chart.
plot(v,type = "o",col = "red", xlab = "Month", ylab = "Rain fall",
main = "Rain fall chart")
lines(t, type = "o", col = "blue")
Scatterplot
Scatterplots show many points plotted in the
Cartesian plane. Each point represents the values of two variables. One
variable is chosen in the horizontal axis and another in the vertical axis.
The simple scatterplot is created using the plot() function.
Syntax
The basic syntax for creating scatterplot in R is −
plot(x, y, main, xlab, ylab, xlim, ylim, axes)
Following is the description of the parameters used −
·
x is the data set whose values are
the horizontal coordinates.
·
y is the data set whose values are
the vertical coordinates.
·
main is the tile of the graph.
·
xlab is the label in the horizontal
axis.
·
ylab is the label in the vertical
axis.
·
xlim is the limits of the values of
x used for plotting.
·
ylim is the limits of the values of
y used for plotting.
·
axes indicates whether both axes
should be drawn on the plot.
Example
We use the data set "mtcars" available
in the R environment to create a basic scatterplot. Let's use the columns
"wt" and "mpg" in mtcars.
input <- mtcars[,c('wt','mpg')]
print(head(input))
When we execute the above code, it produces the following
result −
wt mpg
Mazda RX4 2.620 21.0
Mazda RX4 Wag 2.875 21.0
Datsun 710 2.320 22.8
Hornet 4 Drive 3.215 21.4
Hornet Sportabout 3.440 18.7
Valiant 3.460 18.1
Creating the Scatterplot
The below script will create a scatterplot graph for
the relation between wt(weight) and mpg(miles per gallon).
# Get the input values.
input <- mtcars[,c('wt','mpg')]
# Give the chart file a name.
png(file = "scatterplot.png")
# Plot the chart for cars with weight between 2.5 to 5 and mileage between 15 and 30.
plot(x = input$wt,y = input$mpg,
xlab = "Weight",
ylab = "Milage",
xlim = c(2.5,5),
ylim = c(15,30),
main = "Weight vs Milage"
)
Scatterplot Matrices
When we have more than two variables and we want to
find the correlation between one variable versus the remaining ones we use
scatterplot matrix. We use pairs() function to create matrices
of scatterplots.
Syntax
The basic syntax for creating scatterplot matrices in
R is −
pairs(formula, data)
Following is the description of the parameters used −
·
formula represents the series of
variables used in pairs.
·
data represents the data set from
which the variables will be taken.
Example
Each variable is paired up with each of the remaining
variable. A scatterplot is plotted for each pair.
# Give the chart file a name.
png(file = "scatterplot_matrices.png")
# Plot the matrices between 4 variables giving 12 plots.
# One variable with 3 others and total 4 variables.
pairs(~wt+mpg+disp+cyl,data = mtcars,
main = "Scatterplot Matrix")
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