From what I understand about apply, it unpacks a list and turns the elements into arguments for a function.
I\'m trying to invoke addEventListener() using apply() method. The code is like: function rewrite(old){
I would like to apply my function to only element开发者_StackOverflows that are deeper in the list structure.
This question already has answers here: Replacing NAs with latest non-NA value (21 answers) Closed 4 years ago.
I have a data frame where some of the columns contain NA values. How can I remove columns wher开发者_高级运维e all rows contain NA values?Try this:
What if one wants to apply a functon i.e. to each row of a matrix, but also wants to use as an argument for this function the number of that row. As an example, suppose you wanted to get the n-th root
I want to convert variables into factors using apply(): a <- data.frame(x1 = rnorm(100), x2 = sample(c(\"a\",\"b\"), 100, replace = T),
This may seem as a typical plyr problem, but I have something different in mind. Here\'s the function that I want to optimize (skip the for loop).
...regarding execution time and / or memory. If this is not true, prove it with a code snippet. Note that speedup by vectorization does not count. The 开发者_Go百科speedup must come from apply (tappl
I have a 114 row by 16 column data frame where the rows are individuals, and the columns are either their names or NA. For example, the first 3 rows looks like this:
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