What are the performance differences between for-loops and the apply family of functions?

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Related Contents:

  1. Grouping functions (tapply, by, aggregate) and the *apply family
  2. Append an object to a list in R in amortized constant time, O(1)?
  3. Why use purrr::map instead of lapply?
  4. Access lapply index names inside FUN
  5. Fastest way to replace NAs in a large data.table
  6. Is the “*apply” family really not vectorized?
  7. passing several arguments to FUN of lapply (and others *apply)
  8. Read all files in a folder and apply a function to each data frame
  9. Split a large dataframe into a list of data frames based on common value in column
  10. Access and preserve list names in lapply function
  11. .EACHI in data.table?
  12. How to convert a huge list-of-vector to a matrix more efficiently?
  13. Does ifelse really calculate both of its vectors every time? Is it slow?
  14. Creating a named list from two vectors (names, values)
  15. Practical limits of R data frame
  16. Sort a data.table fast by Ascending/Descending order
  17. Here we go again: append an element to a list in R
  18. Faster way to read fixed-width files
  19. Fast vectorized merge of list of data.frames by row
  20. Faster weighted sampling without replacement
  21. How to tell lapply to ignore an error and process the next thing in the list?
  22. Read multiple CSV files into separate data frames
  23. How to optimize Read and Write to subsections of a matrix in R (possibly using data.table)
  24. Random sample of character vector, without elements prefixing one another
  25. lapply with “$” function
  26. The difference between bracket [ ] and double bracket [[ ]] for accessing the elements of a list or dataframe
  27. Formatting Decimal places in R
  28. How to make good reproducible pandas examples
  29. Remove space between plotted data and the axes
  30. How to use Greek symbols in ggplot2?
  31. Applying a function to every row of a table using dplyr?
  32. How to upgrade R in ubuntu? [closed]
  33. How to tell what is in one vector and not another?
  34. Converting two columns of a data frame to a named vector
  35. Applying group_by and summarise on data while keeping all the columns’ info
  36. Keeping trailing zeros
  37. Formatting dates with scale_x_date in ggplot2
  38. Aggregating by unique identifier and concatenating related values into a string [duplicate]
  39. Column alignment in DT datatable
  40. Moving files between folders
  41. How to deal with hdf5 files in R?
  42. How can I make consistent-width plots in ggplot (with legends)?
  43. Remove rows conditionally from a data.table in R
  44. Looping over variables in ggplot
  45. Sort matrix according to first column in R
  46. How can I resolve the “No Font Name” issue when importing fonts into R using extrafont?
  47. What evaluates to True/False in R?
  48. How to plot one variable in ggplot?
  49. R: Why is the [[ ]] approach for subsetting a list faster than using $?
  50. Conditionally change panel background with facet_grid?

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