Condense Column Values of a Data Frame in R Programming – summarise() Function Last Updated : 19 Jun, 2020 Improve Improve Like Article Like Save Share Report summarise() function in R Language is used to condense various values of column of a data frame to one value. Syntax: summarise(x, expr) Parameters: x: Data Frame expr: Operation to condense data Example 1: # R program to condense data # of a data frame # Loading library library(dplyr) # Create a data frame d <- data.frame( name = c("Abhi", "Bhavesh", "Chaman", "Dimri"), age = c(7, 5, 9, 16), ht = c(46, NA, NA, 69), school = c("yes", "yes", "no", "no") ) # Calculating min age summarise(d, min_age = min(age)) # Calculating max age summarise(d, max_age = max(age)) Output: min_age 1 5 max_age 1 16 Example 2: # R program to condense data # of a data frame # Loading library library(dplyr) # Create a data frame d <- data.frame( name = c("Abhi", "Bhavesh", "Chaman", "Dimri"), age = c(7, 5, 9, 16), ht = c(46, NA, NA, 69), school = c("yes", "yes", "no", "no") ) # Calculating mean of age summarise(d, mean = mean(age)) # Calculating median of age summarise(d, med = median(age)) Output: mean 1 9.25 med 1 8 Like Article Suggest improvement Previous Compute Randomly Drawn Cauchy Density in R Programming - rcauchy() Function Next Take Random Samples from a Data Frame in R Programming - sample_n() Function Share your thoughts in the comments Add Your Comment Please Login to comment...