IT & BA LAB Session 10: 26/03/2013
Assignment 1: Create 3 vectors, x, y, z and choose any random values for them, ensuring they are of equal length,
T<- cbind(x,y,z)
Create 3 dimensional plot of the same (of all the 3 types as taught)
Commands :
> Random1<-rnorm(30,mean=0,sd=1)
> Random1
> x<-Random1[1:10]
> x
> y<-Random1[11:20]
> y
> z<-Random1[21:30]
> z
> T<-cbind(x,y,z)
> T
> plot3d(T[,1:3])
> plot3d(T[,1:3],col=rainbow(64))
Screenshots:
> qplot(x,z,alpha=I(2/10))
> qplot(x,z)
> plot3d(T[,1:3],col=rainbow(64),type= 's')
Assignment no 2:
Read the documentation of rnorm and pnorm,
Create 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) Hint: ?factor
3. Color code and draw the graph
4. Smooth and best fit line for the curve
Commands :
> x<-rnorm(200,mean=5,sd=1)
> y<-rnorm(200,mean=3,sd=1)
> z1<-sample(letters,5)
> z2<-sample(z1,200,replace=TRUE)
> z<-as.factor(z2)
> t<-cbind(x,y,z)
> qplot(x,y)
Read the documentation of rnorm and pnorm,
Create 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) Hint: ?factor
3. Color code and draw the graph
4. Smooth and best fit line for the curve
Commands :
> x<-rnorm(200,mean=5,sd=1)
> y<-rnorm(200,mean=3,sd=1)
> z1<-sample(letters,5)
> z2<-sample(z1,200,replace=TRUE)
> z<-as.factor(z2)
> t<-cbind(x,y,z)
> qplot(x,y)
> qplot(x,y,geom=c("point","smooth"))
> qplot(x,y,colour=z)
> qplot(log(x),log(y),colour=z)
Screenshots
