sba: Artificially generated data alike that of Suspension bead...

In MDimNormn: Multi-Dimensional MA Normalization for Plate Effect

Description

The data that has similarity to Suspension bead arrays data.

Usage

data(sba)

Format

A list that consists of "plate" which is a factor of plate number, "X" that contains measured values where columns are targets and rows are samples (or observations).

Examples

data(sba)

# plot to check difference of geometric mean of every target between plates
sba_gm <- by(sba$X, sba$plate, apply, 2, function(x) exp(mean(log(x))))	
par(mfrow= c(2, 3))
apply(combn(4, 2), 2, function(ea) {
	plot(sba_gm[[ea[1]]], sba_gm[[ea[2]]], xlab= names(sba_gm)[ea[1]], 
	     ylab= names(sba_gm)[ea[2]], log= "xy", asp= 1)
	abline(0, 1, col= "cadetblue")
})

# show first 10 observations in plate 1 and plate 2
print(sba$X[c(1:10, 97:106), 1:10])		

MDimNormn documentation built on May 1, 2019, 7:57 p.m.