diff --git a/test.R b/test.R
index b5daf5facb0fba44fbad430bd706d3ee162bbf39..6c04f08fc74b7f09f7117aabffb84fdd3532aea0 100644
--- a/test.R
+++ b/test.R
@@ -68,3 +68,44 @@ library("dplyr")
   example_2d_df <- as_tibble(example_3d_cube)
 #}
 #)
+  
+  
+  
+  #params
+  N_gene = 6000
+  
+  
+  
+  ## function generator
+  rnbinom_generator <- function(n_gene, mu_simul, alpha){
+    
+    my_counts <- rnbinom(n = n_gene, mu = mu_simul, size = alpha)
+    return(my_counts)
+    
+  }
+  
+  
+  
+  ## build my lib counts
+  env1_A <- rnbinom_generator(N_gene, 50, 5)
+  env1_B <- rnbinom_generator(N_gene, 50, 5)
+  
+  env2_A <- rnbinom_generator(N_gene, 100, 5)
+  env2_B <- rnbinom_generator(N_gene, 100, 5)
+  
+  
+  
+  ## export my lib count
+  names(env1_A) <- sprintf("gene%d", 1:N_gene)
+  names(env1_B) <- sprintf("gene%d", 1:N_gene)
+  
+  names(env2_A) <- sprintf("gene%d", 1:N_gene)
+  names(env2_B) <- sprintf("gene%d", 1:N_gene)
+  
+  env1_A %>% data.frame(.) %>% fwrite(., "~/mydatalocal/counts_simulation/results/env1_A.tsv", row.names = T, col.names = F, sep = "\t")
+  env2_A %>% data.frame(.) %>% fwrite(., "~/mydatalocal/counts_simulation/results/env2_A.tsv", row.names = T, col.names = F, sep = "\t")
+  env1_B %>% data.frame(.) %>% fwrite(., "~/mydatalocal/counts_simulation/results/env1_B.tsv", row.names = T, col.names = F, sep = "\t")
+  env2_B %>% data.frame(.) %>% fwrite(., "~/mydatalocal/counts_simulation/results/env2_B.tsv", row.names = T, col.names = F, sep = "\t")
+  
+  
+