Let’s say that we have a data frame as the following and we will use it to practice how to add a column to a data frame in R.Let’s see the data frame: In a perfect world, you could be 100% certain that you will receive all of your cash flows. By clicking “Post Your Answer”, you agree to our To subscribe to this RSS feed, copy and paste this URL into your RSS reader. # 4 4 d 2 You decide to run some analysis about a worst case scenario where you only receive half of your expected cash flow. Let’s say our data frame is named fruits. If you continue to use this site we will assume that you are happy with it. # x1 x2 For the example, I’m going to use the Iris Flower data. data_3 <- cbind(data, new_col = vec) # Add new column to dataAgain, the output is a data frame consisting of our original data and a new column.Do you need more information on the contents of this article? May be you pasted the code before@lucaskr i think when I copied from console, there was a typo.
There are many ways to do this in R. The trick is to use the Hopefully, you agree that this is much easier to read and understand. Free 30 Day Trial

Just keep in mind that each column is really a vector, so you simply have to remember how to perform operations on vectors.After a short while of writing subset statements in R, you’ll get tired of typing the dollar sign to extract columns of a data frame. By printing the values of your new variable Active 2 years, 8 months ago. Add a column to a dataframe in R using "base R" Now, I'll show you a way to add a new column to a dataframe using base R. Before we get into it, I want to make a few comments. You might want to add up several of your existing columns, find an average or otherwise calculate some "result" from existing data in each row. # 2 2 b

These functions are equivalent to use of apply with FUN = mean or FUN = sum with appropriate margins, but are a lot faster. And i want a new column stock_over_time which is then calculated as stock_over_time = stock - sales + purchase.We can use recursive way to do this and it should also work with complex casesThanks for contributing an answer to Stack Overflow! data_2["new_col"] <- vec # Add new column to datadata_2 contains our original data as well as our example vector vec.Another alternative for creating new variables in a data frame is the data_3 <- data # Replicate example data Thread starter econlearner; Start date Nov 24, 2012; Tags column conditional data.frame; E. econlearner New Member. Let’s load and inspect the data in R: # 3 3 c r dataframe semantics So far, we have only applied the sum command to oversimplified synthetic data. Data frame: start_t stop_t 7:35 ... Stack Overflow. For example, inspect the first five elements of your results with the As you can see, performing calculations on columns of a data frame is straightforward.

The expression will be evaluated later during construction of a new class which I’ve defined. You want to calculate percent of column in R as shown in this example, or as you would in a PivotTable: Here are two ways: (1) using Base R, (2) using dplyr library. # 5 5 eOur example data consists of five rows and the two variables x1 and x2.vec <- c(3, 2, 3, 2, 3) # Create example vector In this example, I’m therefore showing you how to calculate the sum of the column of a real data set. ; What if it took twice as long (in terms of year) to receive your money?Add a new column double_year with this scenario. Let us use the lifeExp column to create another column such that the new column will have True if the lifeExp >= 50 False otherwise. Sticking to the Now you can use all the R tools to examine your result. I’ll also calculate the ratio of ALAE to loss+ALAE. Sticking to the iris data frame, try to do a few calculations on the columns. # 1 1 a 3 You want to calculate percent of column in R as shown in this example, or as you would in a PivotTable: Here are two ways: (1) using Base R, (2) using dplyr library. Note that the Now, let’s add the vector as new variable to our data frame…In Example 1, you’ll learn how to add a new column to a data frame with the data_1 <- data # Replicate example dataNow, we can add our example vector to the data frame as follows:data_1$new_col <- vec # Add new column to dataLet’s print the new data frame to the RStudio console:data_1 # Print new data
Fortunately, there is a way to reduce the amount of typing and to make your code much more readable at the same time.