Server Side Programming Articles

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Maximum sum possible for a sub-sequence such that no two elements appear at a distance < K in the array in C++

Ayush Gupta
Ayush Gupta
Updated on 11-Mar-2026 176 Views

In this tutorial, we will be discussing a program to find maximum sum possible for a sub-sequence such that no two elements appear at a distance < K in the array.For this we will be provided with an array containing N intergers and a value K. Our task is to find the maximum sum of the subsequence including elements not nearer than K.Example#include using namespace std; //returning maximum sum int maxSum(int* arr, int k, int n) {    if (n == 0)       return 0;    if (n == 1)       return arr[0];    if ...

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How to find the quantiles in R without quantile name?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 1K+ Views

The calculation of quantiles in R is very simple, we just need to use quantile function and it returns all the quantiles that are 0%, 25%, 50%, 75% and 100%. If we want to avoid the printing the name of these quantiles then we can use names=FALSE with the quantile function. For example, if we have a vector called x then the quantiles without names can be found as quantile(x,names=FALSE).Examplex1

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How to get row index based on a value of an R data frame column?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 5K+ Views

A row of an R data frame can have multiple ways in columns and these values can be numerical, logical, string etc. It is easy to find the values based on row numbers but finding the row numbers based on a value is different. If we want to find the row number for a particular value in a specific column then we can extract the whole row which seems to be a better way and it can be done by using single square brackets to take the subset of the row.ExampleConsider the below data frame −x1

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How to avoid the warning "Cannot compute exact p-value with ties" while perform correlation test for Spearman's correlation in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 23K+ Views

When the variables are not continuous but could be ranked then we do not use pearson correlation coefficient to find the linear relationship, in this case spearman correlation coefficient comes into the scene. Since the spearman correlation coefficient considers the rank of values, the correlation test ignores the same ranks to find the p-values as a result we get the warning “Cannot compute exact p-value with ties”. This can be avoided by using exact = FALSE inside the cor.test function.ExampleConsider the below vectors and perform spearman correlation test to check the relationship between them −x1

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Maximum sum subarray such that start and end values are same in C++

Ayush Gupta
Ayush Gupta
Updated on 11-Mar-2026 254 Views

In this tutorial, we will be discussing a program to find maximum sum subarray such that start and end values are same.For this we will be provided with an array containing integers. Our task is to find the subarray with the maximum sum such that the elements are both its ends are equal.Example#include using namespace std; //finding the maximum sum int maxValue(int a[], int n) {    unordered_map first, last;    int pr[n];    pr[0] = a[0];    for (int i = 1; i < n; i++) {       pr[i] = pr[i - 1] + a[i];   ...

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How to find the raise to the power of all values in an R vector?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 1K+ Views

Often, we need to find the power of a value or the power of all values in an R vector, especially in cases when we are dealing with polynomial models. This can be done by using ^ sign as we do in Excel. For example, if we have a vector x then the square of all values in x can be found as x^2.Examplex1

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How to create a column with binary variable based on a condition of other variable in an R data frame?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 9K+ Views

Sometimes we need to create extra variable to add more information about the present data because it adds value. This is especially used while we do feature engineering. If we come to know about something that may affect our response then we prefer to use it as a variable in our data, hence we make up that with the data we have. For example, creating another variable applying conditions on other variable such as creating a binary variable for goodness if the frequency matches a certain criterion.ExampleConsider the below data frame −set.seed(100) Group

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How to determine the row that have min and max values in an R data frame column?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 2K+ Views

In data analysis, often we require to determine the minimum and maximum values because these values help us to understand the limits of a column or variable under consideration. This can be done by using which.max for maximum and which.min for minimum with single square brackets to extract the rows.ExampleConsider the below data frame −x1

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Maximum sum subsequence with at-least k distant elements in C++

Ayush Gupta
Ayush Gupta
Updated on 11-Mar-2026 230 Views

In this tutorial, we will be discussing a program to find maximum sum subsequence with at-least k distant elements.For this we will be provided with an array containing integers and a value K. Our task is to find the subsequence having maximum sum such that all the elements are at least K elements apart.Example#include using namespace std; //finding maximum sum subsequence int maxSum(int arr[], int N, int k) {    int MS[N];    MS[N - 1] = arr[N - 1];    for (int i = N - 2; i >= 0; i--) {       if (i + ...

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How to save the summary statistics into a data frame in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 6K+ Views

When we find the summary statistics of a data frame then the output is returned as a table and each of the column records the minimum, first quartile, median, median, third quartile, and maximum with their names. If we want to save this summary as a data frame then it is better to calculate it with apply function and store it as data.frame.ExampleConsider the below data frame −x1

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