Assignment 1
Create 3 vectors, x, y, z and choose any random values for them, ensuring they are of equal length, bind them together.Create 3 dimensional plots of the same.
Solution:
First creating a random data set of 50 items with mean =30 and standard deviation =10
> data <- rnorm(50,mean=30,sd=10)
> data
Taking sample data of length 10 from the created data set in three different vectors x,y,z
> x <- sample(data,10)
> x
> y <- sample(data,10)
> y
> z <- sample(data,10)
> z
Binding the three vectors x,y,z into a vector T using cbind
> T <- cbind(x,y,z)
> T
Plotting 3d graph
Command:
> plot3d(T[,1:3])
Plotting of graph with labels for axes and color
Command
> plot3d(T[,1:3], xlab="X Axis" , ylab="Y Axis" , zlab="Z Axis", col=rainbow(500))
Plotting of graph with labels for axes, color and type = spheres
Command
> plot3d(T[,1:3], xlab="X Axis" , ylab="Y Axis" , zlab="Z Axis", col=rainbow(5000), type='s')
Plotting of graph with labels for axes, color and type = points
Command
> plot3d(T[,1:3], xlab="X Axis" , ylab="Y Axis" , zlab="Z Axis", col=rainbow(5000), type='p')
Plotting of graph with labels for axes, color and type = lines
Command
> plot3d(T[,1:3], xlab="X Axis" , ylab="Y Axis" , zlab="Z Axis", col=rainbow(5000), type='l')
Assignment 2
Choose 2 random variables
Create 3 plots:
1. X-Y
2. X-Y|Z (introducing a variable z and cbind it to z and y with 5 diff categories)
3. Color code and draw the graph
4. Smooth and best fit line for the curve
Solution
Creating a data set for two random variables and then introducing third variable z
Command:
> x <- rnorm(5000, mean= 20 , sd=10)
> y <- rnorm(5000, mean= 10, sd=10)
> z1 <- sample(letters, 5)
> z2 <- sample(z1, 5000, replace=TRUE)
> z <- as.factor(z2)
> z
Creating Quick Plots
Command:
>qplot(x,y)
>qplot(x,z)
For semi-transparent plot
> qplot(x,z, alpha=I(2/10))
For coloured plot
> qplot(x,y, color=z)
For Logarithmic coloured plot
> qplot(log(x),log(y), color=z)
Best Fit and Smooth curve using "geom"
Command:
> qplot(x,y,geom=c("path","smooth"))
> qplot(x,y,geom=c("point","smooth"))
> qplot(x,y,geom=c("boxplot","jitter"))
