You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am not a native English speaker, so please point out if there are any problems with my description and let me try to describe it in detail again. And thank you for your work to help me on the archetypes analysis in my scRNA-seq at first!
Now, I am trying to use the fit_pch() function to construct the model. My input data is the results of principal component (PC) analysis, which is contain 5 PCs data of thousands of cells, and present as PCs in row and cells in column. I ran the following code:
fit_pch(data, noc = as.integer(4), delta = 0)
The output result contains the XS, S, C (0 for all C) ... t-ratio, with the var_vert and total_var are NA.
Now I need the data of total_var to demonstrate the robustness of the model. Is there any other setting I need to perform to obtain it?
Looking forward to your reply and appreciate your possible help!
The text was updated successfully, but these errors were encountered:
I am not a native English speaker, so please point out if there are any problems with my description and let me try to describe it in detail again. And thank you for your work to help me on the archetypes analysis in my scRNA-seq at first!
Now, I am trying to use the fit_pch() function to construct the model. My input data is the results of principal component (PC) analysis, which is contain 5 PCs data of thousands of cells, and present as PCs in row and cells in column. I ran the following code:
fit_pch(data, noc = as.integer(4), delta = 0)
The output result contains the XS, S, C (0 for all C) ... t-ratio, with the var_vert and total_var are NA.
Now I need the data of total_var to demonstrate the robustness of the model. Is there any other setting I need to perform to obtain it?
Looking forward to your reply and appreciate your possible help!
The text was updated successfully, but these errors were encountered: