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How to find the intersection of elements in a string vector in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 02-Nov-2021 848 Views

If we have a string vector that contains more than one element then there might exists some common values in all the elements. If we want to find those values then intersect function can be used along strsplit function and Reduce function.Check out the below Examples to understand how it can be done.Example 1>x1=c("Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.", "Data science is the domain of study that ...

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How to find the sum of values based on two groups if missing values are present in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 02-Nov-2021 419 Views

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 −grp1

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Rearrange first N numbers to make them at K distance in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 223 Views

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 ...

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How to deal with error "var(x) : Calling var(x) on a factor x is defunct." in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 02-Nov-2021 5K+ Views

The error “Calling var(x) on a factor x is defunct” occurs when we try to apply a numerical function on factor data.For example, if we have a factor column in a data frame then applying numerical functions on that column would result in the above error. To deal with this problem, we can use as.numeric function along with the numerical function as shown in the below examples.Example 1Following snippet creates a sample data frame −x

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Rearrange positive and negative numbers with constant extra space in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 449 Views

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 ...

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Rearrange positive and negative numbers using inbuilt sort function in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 1K+ Views

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 ...

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Roll up R data frame columns for summation by group if missing values exist in the data frame.

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 02-Nov-2021 551 Views

The summation of column values if missing values exist in the R data frame can be found with the help of summarise_each function of dplyr package where we can remove missing values by setting na.rm argument to TRUE.Since, we we will have groups in the data frame hence group_by function of the same package will help the summarise_each function to perform the summation by group. Check out the below Examples to understand how it works.Example 1Following snippet creates a sample data frame −Grp

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Rearrange positive and negative numbers in O(n) time and O(1) extra space in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 472 Views

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 ...

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Rearrange array such that even positioned are greater than odd in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 410 Views

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 ...

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Rearrange array such that even index elements are smaller and odd index elements are greater in C++

Sunidhi Bansal
Sunidhi Bansal
Updated on 02-Nov-2021 558 Views

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 ...

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