**stattler.com - R**, and kindly contributed to R-bloggers)

I am showing three examples that will help an average R user to create beautiful graphs. The interesting (may be useful) parts of these examples are the use of some very smart but tricky functions to, for example, add a Greek symbol on a plot, add a title to a plot with some mathematical symbols.

I am showing three examples that will help an average R user to create beautiful graphs. The interesting (may be useful) parts of these examples are the use of some very smart but tricky functions to, for example, add a Greek symbol on a plot, add a title to a plot with some mathematical symbols. In these examples I used `expression`

and paste

functions repeatedly. For more examples please see this site.

### EXAMPLE 1: Gamma density with scale parameter =1 and various shape parameter

x <- seq(0, 30, length=300)

hx <- dgamma(x, shape=1, scale=1)gshape <- c(2, 5, 10, 15)

colors <- c("red", "blue", "darkgreen", "gold")plot(x, hx, type=”n”, lty=2, lwd=2, xlab=”x”, ylab=expression(f(x)), main=expression(theta == 1), ylim=c(0,0.4), frame.plot=F)

for (i in 1:4){

lines(x, dgamma(x,shape=gshape[i], scale=1), lwd=2, col=colors[i])

}# Inserting mathematical expressions

text(3.5,.35 , expression(paste(alpha==2)))

text(6.5,.18 , expression(paste(alpha==5)))

text(11.5,.13 , expression(paste(alpha==10)))

text(23,.05 , expression(paste(alpha==15)))

### EXAMPLE 2: Barplot for Poisson distribution

# Generating Poisson random numbers with rates 1, 2, 3, and 4

# and drawing the histograms and arranging them on a 2 x 2 matrixpar(mfrow=c(2,2))

lambda <- 1:4

x <- 0:10for (i in lambda)

{

x1 <- dpois(x, lambda[i])

barplot(x1, names.arg=c(“0″, “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”, “9”, “10”), ylab=expression(P(x)), ylim=c(0,.4), col=”lightgreen”)

title(main = substitute(lambda == i,list(i=i)))

}

### EXAMPLE 3: Binomial probability plots (line diagram)

# Binomial probability plot with vertical lines

par(mfrow=c(2,2))

n <- 10

p <- c(0.1, 0.25, 0.5, 0.8)

x <- 0:10

for (i in 1:4)

{

x1 <- dbinom(x, n, p[i])

plot(x1, type=”h”, xlab=”x”, ylab=expression(P(x)),

ylim=c(0,.4),lwd=2, col=”red”)

j <- p[i]

title(main = substitute(p == j,list(j=j)))

}

### SUGGEST A GRAPH

If you have an idea of a complicated graph, please submit your code to me. I will add your contribution on this page.

If you find this page useful, please link this site from your blog/website or refer it in your report/thesis.

Thank you.

**leave a comment**for the author, please follow the link and comment on their blog:

**stattler.com - R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...