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To find the row mean of columns having same name in R matrix, we can follow the below steps −First of all, create a matrix with some columns having same name.Then, use tapply along with colnames and mean function to find the row mean of columns having same name.ExampleCreate the matrixLet’s create a matrix as shown below −M
To find the row mean 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 mean function to find the row mean of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df
To find the sin of each value in columns if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the sin of each value in columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level
To convert values in alternate rows to negative R matrix, we can follow the below steps −First of all, create a matrix.Then, use vector multiplication with 1 and minus 1 to convert values in alternate rows to negative.ExampleCreate the matrixLet’s create a matrix as shown below −M
To convert values in alternate rows to negative in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use vector multiplication with 1 and minus 1 to convert values in alternate rows to negative.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) x
To remove hyphen at last position from every value in R data frame column, we can follow the below steps −First of all, create a data frame with a column having hyphen at last position in every value.Then, use gsub function to remove hyphen at last position from every value in the column.ExampleCreate the data frameLet’s create a data frame as shown below −x
To find the number of zeros in each column of a matrix in R, we can follow the below steps −First of all, create a matrix.Then, use colSums function to find the number of zeros in each column.Example 1Create the matrixLet’s create a matrix as shown below −M1
To find the number of zeros in each column of a data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use colSums function to find the number of zeros in each column.Example 1Create the data.table objectLet’s create a data.table as shown below −library(data.table) x1
To separate two values in single column in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use separate function from tidyr package to separate the values in single column.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) DT
To convert first letter into capital in single column data.table object in R, we can follow the below steps −First of all, create a data.table object with string column.Then, use capitalize function from R.utils package to convert first letter into capital in single columnExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) Students