Author: Team BioSakshat
Last update: June 2017
Copyright © 2017 BioSakshat, Inc. All rights reserved.
Syntax:
if (expr_1)
{
expr_2
……
……
}else{
expr_3
……
……
}
x=sample(1:50,10);
sum(x);
## [1] 286
if(sum(x)>500)
{
print("Sum of x is greater than 500");
}else{
print("Sum of x is less than 500");
}
## [1] "Sum of x is less than 500"
for(i in 5:10)
{
print(i);
}
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10
for(i in c(10,15,17,16,25))
{
print(i);
}
## [1] 10
## [1] 15
## [1] 17
## [1] 16
## [1] 25
x=c(10,15,17,16,25);
for(i in x)
{
print(i);
}
## [1] 10
## [1] 15
## [1] 17
## [1] 16
## [1] 25
x=c(10,15,17,16,25);
for(i in 1:length(x))
{
print(c(i,x[i]));
}
## [1] 1 10
## [1] 2 15
## [1] 3 17
## [1] 4 16
## [1] 5 25
Store squares of values of above vector in separate vector s using for loop
s = NULL;
for(i in 1:length(x))
{
s[i] = x[i] ^ 2;
}
x;
## [1] 10 15 17 16 25
s;
## [1] 100 225 289 256 625
Note: Usually we don’t need to use for loop to perform operations on a single vector. The vector s created using above for loop can simply be created using command, s<- x^2. But for loop is very useful to perform operations on multiple columns and rows of a matrix or data frame.
Create a matrix of 5 rows for values 1 to 50. Calculate the means of all rows in a matrix and store them in a vector m.
mat=matrix(sample(1:50, 50, replace = TRUE), nrow=10);
mat;
## [,1] [,2] [,3] [,4] [,5]
## [1,] 33 48 30 38 47
## [2,] 34 25 47 16 11
## [3,] 23 48 9 26 31
## [4,] 22 50 15 20 34
## [5,] 12 21 32 1 30
## [6,] 24 50 42 12 28
## [7,] 47 1 9 20 45
## [8,] 48 29 49 19 24
## [9,] 34 43 6 12 12
## [10,] 22 22 44 50 2
m=NULL;
for(i in 1:nrow(mat))
{
m[i] = mean(mat[i,]);
}
m;
## [1] 39.2 26.6 27.4 28.2 19.2 31.2 24.4 33.8 21.4 28.0