featurePlot {MatrixQCvis} | R Documentation |
The function 'featurePlot' creates a plot of (count/intensity) values for different data processing steps (referring to columns in the 'data.frame') over the different samples (referring to rows in the 'data.frame').
featurePlot(df)
df |
'data.frame' |
Internal usage in 'shinyQC'.
'gg' object from 'ggplot2'
set.seed(1) x1 <- matrix(rnorm(100), ncol = 10, nrow = 10, dimnames = list(paste("feature", 1:10), paste("sample", 1:10))) x2 <- x1 + 5 x3 <- x2 + 10 l <- list(x1 = x1, x2 = x2, x3 = x3) df <- createDfFeature(l, "feature 1") featurePlot(df)