# Looping Basic

``````mylist = list(10, 20)
for (e in mylist) print(e)
#> [1] 10
#> [1] 20``````
``````myvec = c(10, 20)
for (e in myvec) print (e)
#> [1] 10
#> [1] 20``````
``````myvec = c(10, 20)
for (i in seq_along(myvec)) print (myvec[i])
#> [1] 10
#> [1] 20``````
``````dfa = data.frame( a_id = 1:3, a_title = letters[1:3], b_id = c(10,10,11) )
for (i in 1:nrow(dfa))
print(dfa[i, ])
#>   a_id a_title b_id
#> 1    1       a   10
#>   a_id a_title b_id
#> 2    2       b   10
#>   a_id a_title b_id
#> 3    3       c   11``````
``````dfa = data.frame( a_id = 1:3, a_title = letters[1:3], b_id = c(10,10,11) )
rutils::applyr(dfa, print)
#>    a_id a_title    b_id
#>     "1"     "a"    "10"
#>    a_id a_title    b_id
#>     "2"     "b"    "10"
#>    a_id a_title    b_id
#>     "3"     "c"    "11"``````

# Looping over Data Frame Rows

Setup

``````library(dplyr, warn.conflicts = F)
dfa = data_frame( a_id = 1:3, a_title = letters[1:3], b_id = c(10,10,11) )
dfb = data_frame( b_id = 10:12, b_title = letters[10:12] )``````

# When Can We Not Use Loop Functions?

There are cases when we cannot use loop functions like `lapply`, `apply`, `Map`

1. When we loop over each distinct value of a field of a table. See: ex_sql_generation.Rmd

Tech    16 Dec, 2017

Mert Nuhoglu is a Trabzon-born programmer and data scientist.