ASSIGNMENT 1:
Create 3 vector x,y,z and choose any random value for them , ensuring they are of equal length, bind them together. Create different 3 dimensional plots for the same.
Solution:
> ranvec<- rnorm(20,40,60)
> ranvec
> x<-sample(ranvec,15)
> y<-sample(ranvec,15)
> z<-sample(ranvec,15)
> A<-cbind(x,y,z)
> plot3d(A)
Create 3 vector x,y,z and choose any random value for them , ensuring they are of equal length, bind them together. Create different 3 dimensional plots for the same.
Solution:
> ranvec<- rnorm(20,40,60)
> ranvec
> x<-sample(ranvec,15)
> y<-sample(ranvec,15)
> z<-sample(ranvec,15)
> A<-cbind(x,y,z)
> plot3d(A)
>plot3d([,1:3],col=rainbow(1000))
>plot3d([,1:3],col=rainbow(1000), type='s')
>plot3d([,1:3],col=rainbow(1000), type='h')
>plot3d([,1:3],col=rainbow(1000), type='l')
ASSIGNMENT 2: Read the documentation of rnorm and pnorm choose 2 random variable and create 3 plots :
(a) X-Y
(b) X-Y|Z(Introducing a variable z and cbind it to z and y with diff categories)
(c) color code and draw the graph
(d) Smooth and best fit line
Data set creation for two random samples
> x<-rnorm(1000,50,20)
> y<-norm(1000,25,10)
> z1<-sample(letters,10)
> z2<-sample(z1,1000, replace= TRUE)
> z <-as.factors(z2)
> z
>qplot(x,y)
>qplot(x,z)
>qplot(x,z,alpha=I(2/10))
>qplot(x,y,color=z)
>qplot(log(x),log(y),color=z)
>qplot(x,y,geom=c("path","smooth"))
>qplot(x,y,geom=c("point","smooth"))
>qplot(x,y,geom=c("boxplot","jitter"))














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