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INFO [2024-07-31 12:36:39] Transforming matrix to data.table
INFO [2024-07-31 12:36:40] Calculate the batch effects for 4 batches
Error in vecseq(f__, len__, if (allow.cartesian || notjoin || !anyDuplicated(f__, :
Join results in 3511053 rows; more than 3331022 = nrow(x)+nrow(i). Check for duplicate key values in i each of which join to the same group in x over and over again. If that's ok, try by=.EACHI to run j for each group to avoid the large allocation. If you are sure you wish to proceed, rerun with allow.cartesian=TRUE. Otherwise, please search for this error message in the FAQ, Wiki, Stack Overflow and data.table issue tracker for advice.
In addition: Warning message:
In as.data.table.list(x, keep.rownames = keep.rownames, check.names = check.names, :
Item 1 has 0 rows but longest item has 30009; filled with NA
This is what I Commanded:
INFO [2024-07-31 12:36:39] Transforming matrix to data.table
INFO [2024-07-31 12:36:40] Calculate the batch effects for 4 batches
Error in vecseq(f__, len__, if (allow.cartesian || notjoin || !anyDuplicated(f__, :
Join results in 3511053 rows; more than 3331022 = nrow(x)+nrow(i). Check for duplicate key values in i each of which join to the same group in x over and over again. If that's ok, try by=.EACHI to run j for each group to avoid the large allocation. If you are sure you wish to proceed, rerun with allow.cartesian=TRUE. Otherwise, please search for this error message in the FAQ, Wiki, Stack Overflow and data.table issue tracker for advice.
In addition: Warning message:
In as.data.table.list(x, keep.rownames = keep.rownames, check.names = check.names, :
Item 1 has 0 rows but longest item has 30009; filled with NA
this is my data:
dim(df_formatted)
[1] 30009 111
Can you help me to understand bug?
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