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Programming Articles
Page 1181 of 2547
How to create combinations of 0 and 1 with fixed number of 1s in each row in an R data frame?
To create the combinations of 0 and 1 data frame, we can use expand.grid function along with the rep function. If we want to create combination of 0 and 1 with fixed number of 1’s in each row then rowSums functions can be used with the appropriate sum value. For example, to have rows containing less than three 1’s, the rowSums will be extracted from grid for the same.Example1First
Read MoreWrite a Golang program to calculate the sum of elements in a given array
ExamplesInput arr = [1, 3, 4, 5, 6] => 1+3+4+5+6 = 19Input arr = [5, 7, 8, 9, 1, 0, 6] => 5+7+8+9+1+0+6 = 36Approach to solve this problemStep 1: Define a function that accepts an array.Step 2: Declare a variable, res = 0.Step 3: Iterate the array and add elements to res.Step 4: Return res.Programpackage main import "fmt" func findArraySum(arr []int) int{ res := 0 for i:=0; i
Read MoreHow to add a new value to each element of list in R?
Suppose we have a list that contain two elements and we get a new value for both of these elements then the problem of adding those values to the original list arises. This can be done with the help of mapply function. We can append the new values in the original easily but a vector of the new values needs to be created first.Example1List1
Read MoreWrite a Golang program to convert a binary number to its decimal form
ExamplesInput binary_num = 1010111 => decimal number = 64+0+16+4+2+1 = 87Input binary_num = 10101 => decimal number = 21Approach to solve this problemStep 1: Define a function that accepts a binary number, binary_num, declare decimalNum = 0, index = 0Step 2: Start for loop until binary_num becomes 0.Step 3: Find the remainder of binary_num and divide by 10.Step 4: Calculate the decimal number using decimalNum and remainder*pow(2, index).Step 5: Return decimalNum.Programpackage main import ( "fmt" "math" ) func binaryToDecimal(num int) int { var remainder int index := 0 decimalNum := 0 for num != ...
Read MoreHow to create a large vector with repetitive elements of varying size in R?
To create a large vector of repetitive elements of varying size we can use the rep function along with the logical vector as an index. The logical vector that contains TRUE or FALSE will define the selection or omission of the values in the vector created with the help of rep function as shown in the below examples. If the vector created by using rep is larger than the logical vector then the logical vector will be recycled.Example1x1
Read MoreHow to remove rows for categorical columns that has three or less combination of duplicates in an R data frame?
In Data Analysis, we sometimes decide the size of the data or sample size based on our thoughts and this might result in removing some part of the data. One such thing could be removing three or less duplicate combinations of categorical columns and it can be done with the help of filter function of dplyr package by grouping with group_by function.Example1y1
Read MoreHow to find the percentage of missing values in an R data frame?
To find the percentage of missing values in an R data frame, we can use sum function with the prod function. For example, if we have a data frame called df that contains some missing values then the percentage of missing values can be calculated by using the command: (sum(is.na(df))/prod(dim(df)))*100Example1y1
Read MoreCounting elements in two arrays using C++
Let us assume that we have given two unsorted arrays arr1[] and arr2[]. The task is to count the total number of elements in arr2[] for which each element of arr1[] are less than or equal to the elements present in arr2[]. However, the element in both the array may contain duplicates too.For example, Input-1 −N = 6 M = 7 arr1[N] = {1, 2, 5, 0, 6, 3} arr2[M] = {0, 0, 1, 2, 1, 3, 4, 6, 8}Output −4 5 7 2 8 6The approach used to solve this problemTo count every element of arr1[] and check if ...
Read MoreHow to replace the outliers with 5th and 95th percentile values in R?
There are many ways to define an outlying value and it can be manually set by the researchers as well as technicians. Also, we can use 5th percentile for the lower outlier and the 95th percentile for the upper outlier. For this purpose, we can use squish function of scales package as shown in the below examples.Example1library(scales) x1
Read MoreDelete a tail node from the given singly Linked List using C++
A Linked List is a linear Data Structure that contains nodes and each node has two fields; one is the value or data to be inserted and the other field stores the address of the next node.Our task here is to delete a node from the end of a Linked List. The last node is known as the tail node. If there is no node in the Linked List, then return NULL.For example −Input 1 − 1 → 2 → 3 → 4 → 5Output − 1 → 2 → 3 → 4 →Explanation − In the given singly linked ...
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