Programming Articles - Page 920 of 3363

We are given integer variables, let's say, N and K. The task is to firstly calculate the permutation of N and then rearrange the permutation in such a manner that it will be K distance from every element.Let us see various input output scenarios for this −Input − int n = 20, int k = 2Output − Rearrangement of first N numbers to make them at K distance is: 3 4 1 2 7 8 5 6 11 12 9 10 15 16 13 14 19 20 17 18.Explanation − we are given integer variables ‘N’ i.e. 20 and ‘K’ i.e. 2. Now ... Read More

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that all the elements of an array are sorted using the inbuilt sort function of C++ STL as well as using recursive technique of coding and printing the result.Let us see various input output scenarios for this −Input − int arr[] = {4, 2, -1, -1, 6, -3, 0}Output − Rearrangement of positive and negative numbers with constant extra space is: -3 -1 -1 0 6 2 4.Explanation − we are given ... Read More

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that all the elements of an array are sorted using the inbuilt sort function of C++ STL as well as using recursive technique of coding and printing the result.Let us see various input output scenarios for this −Input − int arr[] = {4, 2, -1, -1, 6, -3, 0}Output − Rearrangement of positive and negative numbers using inbuilt sort function is: -3 -1 -1 0 2 4 6.Explanation − we are given ... Read More

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that all positive and negative numbers should be at alternate positions and if there are extra positive or negative elements then they will be placed in the end of an array.Let us see various input output scenarios for this −Input − int arr[] = {4, 2, -1, -1, 6, -3}Output − Rearrangement of positive and negative numbers in O(n) time and O(1) extra space is: 2 - 1 6 -1 4 ... Read More

To find the sum of values based on two groups if missing values are present, we can use group_by and summarise function of dplyr package.For example, if we have a data frame called df that contains a numerical column say Num and two grouping columns say Grp1 and Grp2 then, the sum of values in Num based on Grp1 and Grp2 if missing values are present in df can be found by using the below mentioned command −df%>%group_by(Grp1, Grp2)%>%summarise(Sum=sum(Num, na.rm=TRUE))Example 1Following snippet creates a sample data frame −grp1Read More

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that all the elements at an even position or index should be greater than the elements at an odd position or index and print the result.Let us see various input output scenarios for this −Input − int arr[] = {2, 1, 4, 3, 6, 5, 8, 7}Output − Array before Arrangement: 2 1 4 3 6 5 8 7 Rearrangement of an array such that even positioned are greater than odd ... Read More

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that all the elements at an even position or index should be less than the elements at an odd position or index and print the result.Let us see various input output scenarios for this −Input − int arr[] = {2, 1, 4, 3, 6, 5, 8, 7}Output − Array before Arrangement: 2 1 4 3 6 5 8 7 Rearrangement of an array such that even index elements are smaller and ... Read More

Trimmed mean is the mean that find the mean of values by excluding a small percentage of smallest and largest values. If we have a 5% trimmed mean that means 2.5% of smallest values and 2.5% of largest values are trimmed from the data and then the mean of the remaining data is calculated.In R, we can simply use trim argument inside mean function to find the trimmed mean. Check out the below Examples to understand how it can be done.Example 1Following snippet creates a sample data frame −x

We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that there will be a positive number that will be surrounded by negative numbers. If there are more positive and negative numbers, then they will be arranged at the end of an array.Let us see various input output scenarios for this −Input − int arr[] = {-1, -2, -3, 1, 2, 3}Output − Array before Arrangement: -1 -2 -3 1 2 3 Rearrangement of an array in alternating positive & negative ... Read More

We are given a positive integer type array, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that when we multiply an element with its alternative element and then add all the resultant elements then it should return the minimum sum.Let us see various input output scenarios for this −Input − int arr[] = {2, 5, 1, 7, 5, 0, 1, 0}Output − Rearrangement of an array to minimize sum i.e. 7 of product of consecutive pair elements is: 7 0 5 0 5 1 2 1Explanation − we are given an integer array ... Read More