Maldi.test | R Documentation |
This data is from an article in Chemometrics and Intelligent Laboratory Systems about quantitative whole spectrum analysis with MALDI-TOF MS on skimmed milk from cow, goat and ewe. MALDI-TOF is a mass spectrometry technique used for identifying ionizable components, such as proteins and peptides in samples. This is the data from MALDI-TOF mass spectrometry (MS) on cow milk for 45 milk mixtures.
Maldi.test
A data frame with 45 observations (rows) and 6180 variables (columns).
Columns | Data type | Description | Values | |
[,1] | Percent_milk | numeric | The percentage of cow milk | (0 - 0.9871) |
[,2:6180] | MSdata1...MSdata6179 | numeric | MS data for the milk samples | (-1.030459 - 8.63314) |
The variables with mass spectrometry data, Maldi.test.small[, 2:6180]
,
are a quantification of molecule “size” and “charge” in a sample.
For simplicity we may say that the size of molecules increases from variable
2 to variable 6180.The measurements are then the amounts of molecules of
different sizes. The method is used to separate proteins, peptides and other
ionizable compunds.
The Maldi data was split into training data, which can be used to fit a model, and this test data that can be used to evaluate the model.
Liland, K. H., Mevik, B., Rukke, E., Almøy, T., Skaugen, M., Isaksson, T. (2009) Quantitative whole spectrum analysis with MALDI-TOF MS, Part I: Measurement optimisation. Chemometrics and Intelligent Laboratory Systems, 96, 210 - 218.
Maldi.train
, Maldi.test.small
and Maldi.train.small
# Summary of some of the variables
summary(Maldi.test[, 1:6])
# Plot one of the spectra
plot(Maldi.test[, 2], type = "l")
# Plot several spectra
matplot(Maldi.test[, 2:6], type = "l", lty = 1)
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