This is not possible. All columns of a data.frame must have same length, and yours don't satisfy that.
However, you can have them as list, like this:
set.seed(seed = 90817)
df_1 <- data.frame(id = 1:10,
value_1 = rnorm(n = 10))
df_1
#> id value_1
#> 1 1 1.45874119
#> 2 2 -1.16087650
#> 3 3 0.16325825
#> 4 4 -0.06675832
#> 5 5 -0.21079529
#> 6 6 -0.67318643
#> 7 7 0.37096651
#> 8 8 -0.74248500
#> 9 9 -1.49711876
#> 10 10 0.46215221
df_2 <- data.frame(id = 1:20,
value_1 = rcauchy(n = 20),
value_2 = letters[1:20])
df_2
#> id value_1 value_2
#> 1 1 -1.8873751 a
#> 2 2 -0.2772311 b
#> 3 3 1.3125260 c
#> 4 4 -0.3020285 d
#> 5 5 0.1662961 e
#> 6 6 -0.3818564 f
#> 7 7 2.1266469 g
#> 8 8 -0.1790849 h
#> 9 9 2.6220484 i
#> 10 10 1.7493416 j
#> 11 11 1.6981932 k
#> 12 12 1.8397568 l
#> 13 13 -0.2220664 m
#> 14 14 -0.1896089 n
#> 15 15 -1.7893051 o
#> 16 16 1.4450793 p
#> 17 17 -2.1501575 q
#> 18 18 -1.2609383 r
#> 19 19 -60.0072147 s
#> 20 20 0.6446582 t
df_3 <- data.frame(id = 1:15,
value_1 = runif(n = 15, min = -3, max = +3),
value_3 = LETTERS[1:15])
df_3
#> id value_1 value_3
#> 1 1 -2.46586008 A
#> 2 2 -0.90194937 B
#> 3 3 1.14309540 C
#> 4 4 -0.63166010 D
#> 5 5 -1.02306584 E
#> 6 6 2.30751447 F
#> 7 7 -2.33689969 G
#> 8 8 2.60292534 H
#> 9 9 0.02698792 I
#> 10 10 -0.37338495 J
#> 11 11 -1.14270701 K
#> 12 12 -0.53858458 L
#> 13 13 1.36386300 M
#> 14 14 -0.38468699 N
#> 15 15 -1.54976627 O
df_4 <- data.frame(id = 1:5,
value_1 = rlogis(n = 5))
df_4
#> id value_1
#> 1 1 0.2690863
#> 2 2 1.5720866
#> 3 3 -0.1345794
#> 4 4 -0.1538287
#> 5 5 -1.6383762
results <- lapply(X = list(df_1, df_2, df_3, df_4),
FUN = `[[`,
"value_1")
results
#> [[1]]
#> [1] 1.45874119 -1.16087650 0.16325825 -0.06675832 -0.21079529 -0.67318643
#> [7] 0.37096651 -0.74248500 -1.49711876 0.46215221
#>
#> [[2]]
#> [1] -1.8873751 -0.2772311 1.3125260 -0.3020285 0.1662961 -0.3818564
#> [7] 2.1266469 -0.1790849 2.6220484 1.7493416 1.6981932 1.8397568
#> [13] -0.2220664 -0.1896089 -1.7893051 1.4450793 -2.1501575 -1.2609383
#> [19] -60.0072147 0.6446582
#>
#> [[3]]
#> [1] -2.46586008 -0.90194937 1.14309540 -0.63166010 -1.02306584 2.30751447
#> [7] -2.33689969 2.60292534 0.02698792 -0.37338495 -1.14270701 -0.53858458
#> [13] 1.36386300 -0.38468699 -1.54976627
#>
#> [[4]]
#> [1] 0.2690863 1.5720866 -0.1345794 -0.1538287 -1.6383762
Created on 2020-12-14 by the reprex package (v0.3.0)
Hope this helps.