To separate a specific text and the remaining text in data.table object column in R, we can follow the below steps −First of all, create a data.table object.Then, use str_split function from stringr package to separate first text value and the remaining text.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) Student_ID

To find the row total 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 sum function to find the row total of columns having same name.ExampleCreate the matrixLet’s create a matrix as shown below −M

To repeat a whole data frame in R, we can follow the below steps −First of all, create a data frame.Then, use rep function to repeat the data frame.ExampleCreate the data frameLet’s create a data frame as shown below −x

To remove rows that contain NAs in R matrix, we can follow the below steps −First of all, create a matrix.Then, use na.omit function to remove rows that contains NAs.ExampleCreate the matrixLet’s create a matrix as shown below −M

To display mean for each group in point chart using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, use geom_point and geom_summary functions and provide mean for fun argument with different size and shape of the point for mean display.ExampleCreate the data frameLet’s create a data frame as shown below −grp

To remove double inverted commas in R vector, we can follow the below steps −First of all, create a vector.Then, use print function along with quote argument.Example 1Create the vectorLet’s create a vector as shown below −x1

To find the percentage of values that lie within a range in column of a data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use sum function along with extreme values for range and length function to find the percentage of values that lie within that range.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) x

To convert alphabets to numbers in R data frame, we can follow the below steps −First of all, create a data frame.Then, use mutate_each function of dplyr package along with chartr function to convert alphabets to numbers.ExampleCreate the data frameLet’s create a data frame as shown below −x

To remove double inverted commas in R matrix, we can follow the below steps −First of all, create a matrix.Then, use print function along with quote argument.ExampleCreate the matrixLet’s create a matrix as shown below −M

To subset a data.table object by specifying columns that contains NA, we can follow the below steps −First of all, create a data.table object with some columns containing NAs.Then, use is.na along with subset function to subset the data.table object by specifying columns that contains NA.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) x1