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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 convert first letter of multiple string columns into capital in R data frame, we can follow the below steps −First of all, create a data frame with string columns.Then, use sub function along with mutate_each function of dplyr package to convert first letter into capital in string columns.ExampleCreate the data frameLet’s create a data frame as shown below −Names
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
To find the index of values in an R data frame column if they occur once, we can follow the below steps −First of all, create a data frame.Then, use which function along with duplicated function and single square brackets for subsetting to find the index of values in a column if they occur once.ExampleCreate the data frameLet’s create a data frame as shown below −x
To create a column with column name for maximum value in each row of an R data frame, we can follow the below steps −First of all, create a data frame.Then, use mutate function of dplyr package along with max.col function to create a column with column name for maximum value in each row of an R data frame.ExampleCreate the data frameLet’s create a data frame as shown below −x
To find the row variance 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 var function to find the row variance of columns having same name.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) DT
To find the row mean of columns having same name in R data.table, we can follow the below steps −First of all, create a data.table 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.tableLet’s create a data.table as shown below −library(data.table) DT
To find the row standard deviation 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 sd function to find the row standard deviation of columns having same name.ExampleCreate the matrixLet’s create a matrix as shown below −M