Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Programming Articles - Page 874 of 3363
584 Views
To find the percent of NAs in each row of an R data frame, we can follow the below steps −First of all, create a data frame.Then, use rowSums function and ncol function along with apply function to find the percent of NAs in each row of the data frameExampleCreate the data frameLet’s create a data frame as shown below −v1
316 Views
To find the row variance of columns having same name in R data frame, we can follow the below steps −First of all, create a data frame with some columns having same name.Then, use tapply along with colnames and var function to find the row variance of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df
361 Views
To change the sign of even number rows in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use vector multiplication with 1 and minus 1 to change the sign of even number rows.ExampleCreate the data frameLet’s create a data frame as shown below −x
137 Views
To find the percent of zeros in each row of a data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use rowSums function along with ncol function to find the percent of zeros in each row of the data.table object.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) v1
163 Views
To find the row standard deviation of columns having same name in R data frame, we can follow the below steps −First of all, create a data frame with some columns having same name.Then, use tapply along with colnames and sd function to find the row standard deviation of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df
2K+ Views
To multiply row values in a data frame having multiple rows with single row data frame in R, we can follow the below steps −First of all, create a data frame with multiple rows and a data frame with single row.Then, use mapply function to multiply row values in the data frame having multiple rows with single row data frame.ExampleCreate the first data frameLet’s create a data frame as shown below −x
176 Views
To find the row standard deviation of columns having same name in data.table object in R, we can follow the below steps −First of all, create a data.table object with some columns having same name.Then, use tapply along with colnames and sd function to find the row standard deviation of columns having same name.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) DT
1K+ Views
To find the percentage of zeros in each column of a data frame in R, we can follow the below steps −First of all, create a data frame.Then, use colSums function along with nrow function to find the percentage of zeros in each column.Example 1Create the data frameLet’s create a data frame as shown below −x
2K+ Views
To multiply corresponding values from two data frames in R, we can follow the below steps −First of all, create two data frames.Then, use mapply function to multiply corresponding values from those two data frames.ExampleCreate the first data frameLet’s create a data frame as shown below −df1
285 Views
To subset a matrix in R by ignoring a value in one of the columns, we can follow the below steps −First of all, create a matrix.Then, use single square brackets to subset the matrix by ignoring a value in one of the columns.ExampleCreate the matrixLet’s create a matrix as shown below −M