random_index <- floor(runif(10000, 1, 1e6+1))
random_cluster <- results[[6]]$cluster[random_index]
random_pred_matrix <- pred_matrix[random_index, ]
dates_subse_after_pred <- rdn_num[rm_na_pred_df]

random_res <- cbind(random_pred_matrix, random_cluster)
random_res <- t(random_res)
random_res <- cbind(c(dates_subse_after_pred, 1), random_res)

df_1 <- data.frame(random_res[1:250,c(TRUE, random_cluster==1)])
df_2 <- data.frame(random_res[1:250,c(TRUE, random_cluster==2)])
df_3 <- data.frame(random_res[1:250,c(TRUE, random_cluster==3)])
df_4 <- data.frame(random_res[1:250,c(TRUE, random_cluster==4)])
df_5 <- data.frame(random_res[1:250,c(TRUE, random_cluster==5)])
df_6 <- data.frame(random_res[1:250,c(TRUE, random_cluster==6)])


df_1.long <- melt(df_1, id.vars = 1)
df_1.long$X1 <- as.Date(df_1.long$X1)
df_2.long <- melt(df_2, id.vars = 1)
df_2.long$X1 <- as.Date(df_2.long$X1)
df_3.long <- melt(df_3, id.vars = 1)
df_3.long$X1 <- as.Date(df_3.long$X1)
df_4.long <- melt(df_4, id.vars = 1)
df_4.long$X1 <- as.Date(df_4.long$X1)
df_5.long <- melt(df_5, id.vars = 1)
df_5.long$X1 <- as.Date(df_5.long$X1)
df_6.long <- melt(df_6, id.vars = 1)
df_6.long$X1 <- as.Date(df_6.long$X1)


ggplot(df_1.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "lightblue")

ggplot(df_2.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "blue")

ggplot(df_3.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "lightgreen")

ggplot(df_4.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "green")

ggplot(df_5.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "pink")

ggplot(df_6.long) +
  geom_line( aes(x = X1, y= value, group = variable), color = "red")