Menu
What is the difference between using c() and append()? Is there any?
> c( rep(0,5), rep(3,2) ) [1] 0 0 0 0 0 3 3 > append( rep(0,5), rep(3,2) ) [1] 0 0 0 0 0 3 3 
360
The + operator creates a new list in python when 2 lists are combined using it, the original object is not modified. On the other hand, using methods like extend and append, we add the lists in place, ie, the original object is modified.
Adding elements in a vector in R programming – append() method. append() method in R programming is used to append the different types of integer values into a vector in the last. Return: Returns the new vector after appending given value.
append() function in R is used for merging vectors or adding more elements to a vector. Syntax: append(x, values) Parameters: x: represents a vector to which values has to be appended to. values: represents the values which has to be appended in the vector.
To append an element in the R List, use the append() function. You can use the concatenate approach to add components to a list. While concatenate does a great job of adding elements to the R list, the append() function operates faster.
The way you've used it doesn't show difference between c and append. append is different in the sense that it allows for values to be inserted into a vector after a certain position.
Example:
x <- c(10,8,20) c(x, 6) # always adds to the end # [1] 10 8 20 6 append(x, 6, after = 2) # [1] 10 8 6 20 If you type append in R terminal, you'll see that it uses c() to append values.
# append function function (x, values, after = length(x)) { lengx <- length(x) if (!after) c(values, x) # by default after = length(x) which just calls a c(x, values) else if (after >= lengx) c(x, values) else c(x[1L:after], values, x[(after + 1L):lengx]) } You can see (the commented part) that by default (if you don't set after= as in your example), it simply returns c(x, values). c is a more generic function that can concatenate values to vectors or lists.
118
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
