To remove a column from matrix in R by using its name, we can follow the below steps −First of all, create a matrixThen, add names to columns of the matrix.After that, subset the matrix by deselecting the desired column with negation and single square brackets for subsetting.ExampleCreate the matrixLet’s ... Read More

To find the row total of columns having same name in data.table object in R, 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 sum function to find the row total of columns having same ... Read More

To extract the last n values of all elements of a list in R, we can follow the below steps −First of all, create a list.Then, use tail function with sapply function to extract the last n values of all elements in the list.Example 1Create the listLet’s create a list ... Read More

To apply two sample t test using a categorical column in R data frame, we can follow the below steps −First of all, create a data frame.Then, use t.test function with categorical column and numerical column linked with ~ sign.ExampleCreate the data frameLet’s create a data frame as shown below ... Read More

To create a column of product in data frames stored in R list, we can follow the below steps −First of all, create a list of data frames.Then, use lapply function to create a column of product in data frames stored in the list.ExampleCreate the list of data framesUsing data.frame ... Read More

To replace NAs with 0 in an R list that contains data.table objects, we can follow the below steps −First of all, create a list of data.table objects that contain some NAs.Then, use lapply function and is.na function to replace NAs with 0 in the list.ExampleCreate the listLet’s create a ... Read More

To remove hash 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 hash at last position in every value.Then, use gsub function to remove hash at last position from every value ... Read More

To find the percentage of each category in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use summarise function of dplyr package after grouping along with n and nrow.ExampleCreate the data frameLet’s create a data frame as shown below −GroupRead More

To find the number of columns where all row values are equal in R data frame, we can follow the below steps −First of all, create a data frame.Then, use sum function along with length and apply function to find the number of columns where all row values are equal.Example ... Read More

To create histogram with varying binwidth using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, use geom_histogram function with breaks argument having varying differences.ExampleCreate the data frameLet’s create a data frame as shown below −x