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Grid and Lattice Packages in R Programming
  • Last Updated : 10 May, 2020

Every programming language has packages to implement different functions. Many functions are bundled together in a package. To use those functions, installation and loading of these packages are required. In R programming, there are 10, 000 packages in the CRAN repository. Grid and Lattice are one of the packages in R which implements graphical functions to develop some graphical outputs such as rectangle, circle, histogram, barplot, etc.

Grid Package

Grid package in R has been removed from CRAN repository as it is now available as the base package. This package is a basis for all other higher graphical functions used in other packages such as lattice, ggplot2, etc. Also, it can manipulate the lattice outputs. Being a base package, there is no requirement to install it. It is automatically installed when R is installed.
To load the grid package, use below command in console and select “grid” when menu appears-

local({pkg <- select.list(sort(.packages(all.available = TRUE)), graphics=TRUE) + if(nchar(pkg)) library(pkg, character.only=TRUE)})

grid package uses functions circleGrob, linesGrob, polygonGrob, rasterGrob, rectGrob, segmentsGrob, legendGrob, xaxisGrob, and yaxisGrob to create graphical objects (grobs).
To see the list of all the functions in grid package, use below command-

library(help = "grid")

Below is an implementation of some functions on grid package-
Example:






library(grid)
  
# Saving output as png file
png(file ="grid-gfg.png")
  
# Create circle grob
cir <- circleGrob(name = "cir", x = 0.3, y = 0.3, r = 0.2,
gp = gpar(col = "black", lty = 3))
  
# Draw grob
grid.draw(cir)
  
# Create rectangular grob
rect <- rectGrob(name = "rect", x = 0.5, y = 0.5,
width = 0.5, height = 0.3)
  
# Draw grob
grid.draw(rect)
  
# Saving the file
dev.off()

Output:

Lattice Package

The lattice package uses grid package to provide better relationships between the data. It is an add-on package for implementation of Trellis graphics (graphics that shows relationships between variables conditioned together).
To install this package-

install.packages("lattice")

There are so many graphs present in the package such as barchart, counterplot, densityplot, histogram, etc. A simple format to use is-

graph_type(formula, data)

where,
graph_type
represents the type of graph to represent
formula specifies the variables or conditioned variables

To know about all functions of package-

library(help = "lattice")

Below is an implementation of some of the graphical functions in lattice package-

Example 1:




library(lattice)
  
attach(mtcars)
  
# Output to be present as PNG file
png("DensityPlotLatticeGFG.png")
  
# Create Density Plot for HP
densityplot(~hp, main ="Density plot of HP", xlab ="HP")
  
# Saving the file
dev.off()

Output:

Example 2:




library(ToothGrowth)
  
# Output to be present as PNG file
png("HistogramLatticeGFG.png")
  
# Using ToothGrowth dataset
# To Create Histogram of length
histogram(~len, data = ToothGrowth,
main = "Histogram of Length")
  
# Saving the file
dev.off()

Output:

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