Generate dataset for vignettes and simulation studies
generate_data()
tibble data frame
set.seed(23) df <- generate_data() str(df) #> tibble [16,000 × 12] (S3: tbl_df/tbl/data.frame) #> $ donor : int [1:16000] 1 1 1 1 1 1 1 1 1 1 ... #> $ condition: Factor w/ 2 levels "control","treatment": 2 2 2 2 2 2 2 2 2 2 ... #> $ m01 : int [1:16000] 2 0 1 6 18 1 24 1 2 2 ... #> $ m02 : int [1:16000] 127 96 14 20 30 17 178 83 24 39 ... #> $ m03 : int [1:16000] 116 54 52 34 15 38 10 16 48 13 ... #> $ m04 : int [1:16000] 17 29 182 21 139 151 8 59 13 4 ... #> $ m05 : int [1:16000] 17 169 26 42 22 14 498 85 27 36 ... #> $ m06 : int [1:16000] 17 32 12 3 4 5 21 2 17 28 ... #> $ m07 : int [1:16000] 56 39 7 30 10 26 26 11 51 39 ... #> $ m08 : int [1:16000] 60 11 6 19 5 29 33 28 194 104 ... #> $ m09 : int [1:16000] 7 19 37 7 32 26 8 11 28 1 ... #> $ m10 : int [1:16000] 78 55 274 68 19 83 26 28 225 60 ... df #> # A tibble: 16,000 × 12 #> donor condition m01 m02 m03 m04 m05 m06 m07 m08 m09 m10 #> <int> <fct> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> #> 1 1 treatment 2 127 116 17 17 17 56 60 7 78 #> 2 1 treatment 0 96 54 29 169 32 39 11 19 55 #> 3 1 treatment 1 14 52 182 26 12 7 6 37 274 #> 4 1 treatment 6 20 34 21 42 3 30 19 7 68 #> 5 1 treatment 18 30 15 139 22 4 10 5 32 19 #> 6 1 treatment 1 17 38 151 14 5 26 29 26 83 #> 7 1 treatment 24 178 10 8 498 21 26 33 8 26 #> 8 1 treatment 1 83 16 59 85 2 11 28 11 28 #> 9 1 treatment 2 24 48 13 27 17 51 194 28 225 #> 10 1 treatment 2 39 13 4 36 28 39 104 1 60 #> # … with 15,990 more rows