Error in data.frame(barcodes = barcodes, cell_type = celltype) : arguments imply differing number of rows: 0, 1 Calls: scImmuCC_Layered -> scImmuCC_main -> data.frame

[6Lillian]

你好，我用了一个行为基因列为细胞名的矩阵counts作为输入数据，遇到了报错，输出目录的已存在很多文件，和示例数据运行的结果比较，输出的文件好像也是正常的，想问下这个报错对结果有影响吗？
counts = read.csv('data.csv',row.names = 1)
counts <- as.matrix(counts) # Convert test data to matrix
test <- scImmuCC_Layered(count = counts ,Non_Immune = FALSE)
报错内容如下：
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
15:37:14 Optimization finished
Warning: Scaling data with a low number of groups may produce misleading results
Error in data.frame(barcodes = barcodes, cell_type = celltype) :
arguments imply differing number of rows: 0, 1
Calls: scImmuCC_Layered -> scImmuCC_main -> data.frame
In addition: There were 29 warnings (use warnings() to see them)
Execution halted