The dist() function in R computes the distance between the given rows of an input data matrix. It returns a distance matrix computed by any of the specified methods for measuring distance.
dist(vect, method = ” “, diag = TRUE or FALSE, upper = TRUE or FALSE)
The dist() function takes the following parameter values:
vect: This is a numeric matrix, data frame, or dist object.method: This is the method to be used for measuring the distance. The method can be "canberra", "binary", "euclidean", "maximum", "manhattan", or "minkowski". This parameter must take any of the listed methods.diag: This takes a logical value (TRUE or FALSE), specifying if the diagonal of the output matrix should be returned by print.dist or not.upper: This takes a logical value (TRUE or FALSE) specifying if the upper triangle of the output distance matrix should be returned by print.dist or not.The dist() function returns an object of class dist.
# Creating the vector obectsa = c(3, 1, 2)b = c(4, 0, 3)c = c(5, 4, 3)# Using the rbind() function to row bind the vectors into a single matrixmymatrix <- rbind(a, b, c)# Implementing the dist() function to calculate the manhattan distance between the rows of the matrixdist(mymatrix, method = "manhattan", diag=TRUE, upper=TRUE)