Programming Articles - Page 908 of 3363

We are given 5 Integer variables Num, P1, P2, profit_P1, profit_P2 and the task is to maximize the profit and from all the natural numbers in the range of [1, Num]. The approach here is that if a positive number is divisible by P1 the profit increases by profit_P1 and similarly if if the number in the range is divisible by P2 the profit margin of profit_P2 increases. Also, the profit from a positive integer can be added at most once.Let us understand with example:-Input − int num = 4, P1 = 6, P2 = 2, profit_P1 = 8, profit_P2 = ... Read More

We are given a K number of linked lists of variable sizes which are sorted in their sequence and we have to merge the list into a resultant list in such a way that the resultant array is sorted in order and the resultant array is printed as the output to the user.Let us understand with example:-Input −int k = 3;list[0] = new Node(11);list[0].next = new Node(15);list[0].next.next = new Node(17);list[1] = new Node(2);list[1].next = new Node(3);list[1].next.next = new Node(26);list[1].next.next.next = new Node(39);list[2] = new Node(4);list[2].next = new Node(8);list[2].next.next = new Node(10);Output −The merged list is-->2>> 3>> 4>> 8>> 10>> 11>> 15>> 17>> ... Read More

The problem statement here is to kill the goons in the rooms of a building with minimum number of bombings. The rooms are labelled as 1 to n. The goons are injured by the first bombing attack and die in the second. When the rooms are bombed the goons rush to the nearest room in the building specially the neighboring room. We must calculate the number of bombing it is required to bomb the rooms in order to kill all the goons in the building.Let us understand with exampleInput − int number of rooms = 3Output −Total Bombings required42 1 3 2Explanation − ... Read More

We are given an ‘n’ number of arrays, let's say we take three arrays i.e. arr1[], arr2[] and arr3[] of integer type. The task is to merge all the given integer arrays in such a manner that the resultant array is sorted in the runtime only.Let us understand with exampleInput −Inta[]={21, 22, 23, 24};int b[ ] ={28, 31, 35}Output −int resultant[ ]={21, 22, 23, 24, 28, 31, 35}.Explanation − The array elements are compared before they are added and added according to their suitable position in the resultant array.Input −inta[]={1, 3, 5, 7, 9, 11, 13};int b[ ] ={14, 16, 18}int c[ ] ={19, ... Read More

To find the missing numbers in a sequence in R data frame column, we can use setdiff function.For Example, if we have a data frame called df that contains a column say X and we want to check which values between 1 to 20 are missing in this column then we can use the below command −setdiff(1:20,df$X)Example 1Following snippet creates a sample data frame −x

To extract columns from an R data frame having at least one non-duplicate, we can use Filter function.For Example, if we have a data frame called df that contains some columns having duplicate values and columns that do not contains at least one non-duplicate then we can extract columns having at least one non-duplicate by using the below command −Filter(var,df)Example 1Following snippet creates a sample data frame −x1

To create bar plot for grouped data in base R, we can create the table for both the columns and then use beside argument of barplot function to create the bar plot. To differentiate between the bars, we need to set legend argument to TRUE as well. To understand how it can be done check out the below Example.ExampleFollowing snippet creates a sample data frame −G

If we want to check a condition and the Output based on that condition needs to be a matrix then we can use if else function in R.For Example, if we have a value say V = 5 and we want to get matrix M1 if V is equal to 5 and matrix M2 if V is not equal to 5 then we can use the below command −if (V == 5) M1 else M2ExampleFollowing snippet creates a sample matrices −M1

To create normal probability plot in R with confidence interval bands, we can use qqPlot function of QTLRel package. We simply need to pass the vector name that contains normal distribution values inside qqPlot function or directly introduce the vector inside the function as shown in the below given examples.Example 1Use the following code to create normal probability plot −library("QTLRel") qqPlot(rnorm(10))OutputIf you execute the above given snippet, it generates the following Output −Example 2Add the following code to the above snippet to create normal probability plot −qqPlot(rnorm(500)) OutputIf you execute the above given snippet, it generates the following Output −Example ... Read More

If we have a categorical column in an R data frame then it can be used to create an ID column where each category will have its own ID defined on the basis of categories in the categorical column.For this purpose, we would need to read the categorical column with as.factor and as.numeric function as shown in the below examples.Example 1Following snippet creates a sample data frame −Group