samples_memi {MatrixQCvis} | R Documentation |
'samples_memi' returns a 'tbl' with the number of measured/missing features of samples. The function will take as input a 'SummarizedExperiment' object and will access its 'assay()' slot
samples_memi(se)
se |
'SummarizedExperiment' object |
'tbl' with number of measured/missing features per sample
## create se a <- matrix(1:100, nrow = 10, ncol = 10, dimnames = list(1:10, paste("sample", 1:10))) a[c(1, 5, 8), 1:5] <- NA set.seed(1) a <- a + rnorm(100) sample <- data.frame(name = colnames(a), type = c(rep("1", 5), rep("2", 5))) featData <- data.frame(spectra = rownames(a)) se <- SummarizedExperiment::SummarizedExperiment(assay = a, rowData = featData, colData = sample) ## create the data.frame with information on number of measured/missing ## values samples_memi(se)