I just found the FindSubCluster tool within Seurat, and am super excited to use it. Just not sure exactly how!

The usage is here:

```
FindSubCluster(
  object,
  cluster,
  graph.name,
  subcluster.name = "sub.cluster",
  resolution = 0.5,
  algorithm = 1
)
```

I receive an error when using it.


    > test <- FindSubCluster(scfp, 7, scfp, subcluster.name = "test",  resolution = 3, algorithm = 1)
    Error in match(x, table, nomatch = 0L) : 
      'match' requires vector arguments
    > test <- FindSubCluster(scfp, 7, scfjjd, subcluster.name = "test",  resolution = 3, algorithm = 1)
    Error in `[[.Seurat`(object, graph.name) : object 'scfjjd' not found
    > test <- FindSubCluster(scfp, 7, RNA, subcluster.name = "test",  resolution = 3, algorithm = 1)
    Error in `[[.Seurat`(object, graph.name) : object 'RNA' not found


My object name is scfp. I have done FindClusters already. The cluster I wish to subcluster is 7.

### I think my trouble is with the **graph.name** argument.

I tried this:


    > test <- FindSubCluster(scfp, "7", "scfp", subcluster.name = "test",  resolution = 3, algorithm = 1)
    Error: Cannot find 'scfp' in this Seurat object

Still no success yet...

Any help would really be appreciated!
Okay so I got it... I think.
I explored the Seurat object a litle bit more and found that the cluster assignments *were* saved.
I was able to visualize using the `group.by` argument so here is the process:

    scfp <- FindNeighbors(scfp, graph.name = "test", dims = 1:100)
    scfp <- FindClusters(scfp, graph.name = "test", resolution = 2, algorithm = 1, verbose = TRUE)
    scfp <- RunTSNE(scfp, dims = 1:100)
    DimPlot(scfp, reduction = "tsne", label = TRUE, label.size = 6 )

![enter image description here][1]
And then after doing this:

    scfp <- FindSubCluster(scfp, "6", "test", subcluster.name = "blood",  resolution = 2, algorithm = 1)
    DimPlot(scfp, reduction = "tsne", group.by = "blood", label = TRUE, label.size = 6)

This is the resulting tSNE:

![enter image description here][2]


  [1]: https://i.ibb.co/W3NXrNp/before.png
  [2]: https://i.ibb.co/S683P2W/after.png

Of course going to play around to optimize cluster numbers...

Thank you @fracarb8. You got me going!