Reproduce a dataframe using expand.grid() in r

Question

I wonder if it might be possible to reproduce my Data below perhaps using tidyr::expand_grid() ?

The variable mot can take any other values produced by round(runif(8,1,4),1) and is constant at each time value (just like task ).

Variable order shows the task order across time . For example, for id=1 at time=1 task is simple ( s ) at time=2 complex ( c ), thus order value is sc .

I tried the following without success:

library(tidyr)
expand_grid(class=1:2, id=1:4, oder=c("s-c","c-s"),time=1:2, 
            task=c("simple","complex"))

Data ="
class id   order time DV  task      mot
1     1    s-c   1    ac  simple    1.5
1     1    s-c   1    bc  simple    1.5
1     1    s-c   2    ac  complex   2.3
1     1    s-c   2    bc  complex   2.3

1     2    c-s   1    ac  complex   3.9
1     2    c-s   1    bc  complex   3.9
1     2    c-s   2    ac  simple    4.0
1     2    c-s   2    bc  simple    4.0

2     3    s-c   1    ac  simple    2.7
2     3    s-c   1    bc  simple    2.7
2     3    s-c   2    ac  complex   1.2
2     3    s-c   2    bc  complex   1.2

2     4    c-s   1    ac  complex   2.8
2     4    c-s   1    bc  complex   2.8
2     4    c-s   2    ac  simple    1.1
2     4    c-s   2    bc  simple    1.1
"

Answer 1

rep() with various combinations of each , and times makes:

library(tidyverse)
df <- tibble(class=rep(1:2, each=8), 
       id=rep(1:4, each=4),
       order=rep(c("s-c", "c-s"), each=4, times=2),
       time=rep(1:2, each=2, times=4),
       DV=rep(c("ac", "bc"), each=1, times=8),
       task=rep(c("simple", "complex", "complex", "simple"), each=2, times=2),

       mot=rep(round(runif(8,1,4),1), each=2))

 # A tibble: 16 × 7 class id order time DV task mot <int> <int> <chr> <int> <chr> <chr> <dbl> 1 1 1 sc 1 ac simple 3 2 1 1 sc 1 bc simple 3 3 1 1 sc 2 ac complex 1.4 4 1 1 sc 2 bc complex 1.4 5 1 2 cs 1 ac complex 1.6 6 1 2 cs 1 bc complex 1.6 7 1 2 cs 2 ac simple 1.6 8 1 2 cs 2 bc simple 1.6 9 2 3 sc 1 ac simple 2.1 10 2 3 sc 1 bc simple 2.1 11 2 3 sc 2 ac complex 2.3 12 2 3 sc 2 bc complex 2.3 13 2 4 cs 1 ac complex 3.7 14 2 4 cs 1 bc complex 3.7 15 2 4 cs 2 ac simple 2.4 16 2 4 cs 2 bc simple 2.4