3. Use a "for" loop to iterate over the elements of a vector x, and increment a counter nodd when the element of x is odd. Then print the number of even and odd elements of x.

Recall that an integer y is odd if y%%2==1, and otherwise y is even.

Use the R commands below to generate a vector "x" of length 100.

```{r} set.seed(10) x=sample(1:10,100,replace=T) ```

Then modify the following code. ```{r} nodd=0 #initialize the counter nodd, which counts the number of odd elements of x # for ( ) {increment nodd in the loop when the associated element of x is odd} #neven= calculate neven using the length of x and nodd. paste("number of odd elements = ",nodd) #paste("number of even elements = ",neven) ``` For this vector x, the number of odd elements should be 56.

(*5 points*)

4. generate a random 5x5 matrix whose entries are the numbers 1,2, ... 25, but in random positions, using the following code: ```{r} set.seed(27) #set the seed for the random number generator x=matrix(sample(1:25), byrow=T,ncol=5) # x ```

On my system, I get the following input matrix:

 [,1] [,2] [,3] [,4] [,5] [1,] 5 18 22 9 8
 
[2,] 19 16 1 24 23
 
[3,] 17 25 3 11 21
 
[4,] 15 10 6 7 4
 
[5,] 13 20 14 12 2 

If you have a different matrix, this is probably because you use a different version of R and a different random number generator. In that case, just use the following code to generate the matrix x:

```{r} xv <- c(5,18,22,9,8,19,16,1,24,23,17,25,3,11,21,15,10,6,7,4,13,20,14,12,2) x=matrix(xv, byrow=T,ncol=5) # x ```

Then, using a pair of nested for loops, loop over the positions in the matrix x, and if the associated element of x is odd, replace the element by its negative.

```{r} #for loop involving i { # for loop involving j { # x[i,j]=ifelse(x[i,j]%%2==1, -x[i,j], something here for odd # elements ) #}} #print(x) ```

Your answer should be equivalent to the following answer (which is valid for the input matrix shown above)

 -5 18 22 -9 8 -19 16 -1 24 -23 -17 -25 -3 -11 -21 -15 10 6 -7 4 -13 20 14 12 2
 

(*5 points*)