trying to reproduce nFeature_RNA and nCount_RNA by my self.

[nmolanog]

I am following the Seurat - Guided Clustering Tutorial and I am trying to reproduce results obtained from nFeature_RNA and nCount_RNA by my self. Next I provide the code I am working on

library(dplyr)
library(Seurat)
library(patchwork)

# Load the PBMC dataset
pbmc.data <- Read10X(data.dir = "hg19")

##cols are cells, rows genes
pbmc.data %>% dim()
#converting to usual matrix
z0<-pbmc.data %>% as.matrix() 
#seurat object
pbmc <- CreateSeuratObject(counts = pbmc.data, project = "pbmc3k", min.cells = 3, min.features = 200)

#counting number of molecules
# working with cell AAACATACAACCAC-1 to reproduce values
# first row of this is data for cell AAACATACAACCAC-1
pbmc[["nCount_RNA"]] %>% head
# my attempt to reproduce the value
z0[,"AAACATACAACCAC-1"] %>% sum

#counting number of features
pbmc[["nFeature_RNA"]] %>% head
# my attempt to reproduce the value
z0[,"AAACATACAACCAC-1"] %>% {.[.>0]} %>% length

So as stated here for example, nFeature_RNA is just the number of features expressed in a given cell and nCount_RNA is the number of molecules expressed in a given cell. That would be just counting the number of genes with values above zero and the sum of values over all genes for a given set. That is the calculations I am doing but numbers do not match with those stored in seurat object. Am I missing something?

[nmolanog]

I got the answer, just use
pbmc <- CreateSeuratObject(counts = pbmc.data, project = "pbmc3k", min.cells = 0, min.features = 0)
And results are the same as those I get by my self.