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antagomir edited this page Apr 5, 2015 · 25 revisions

Miscellaneous preprocessing functions

Retrieve and preprocess data from the MySQL database

Preprocessing array data ('profiling script')
Preprocessing HITChip atlas collection

Probe-level operations

Probe-level preprocessing

Split data into training and test samples

library(microbiome)
data.directory <- system.file("extdata", package = "microbiome")
metadata.example.file <- paste(data.directory, "/metadata.tab", sep = "")
metadata.simulated <- read.csv(metadata.example.file, sep = "\t", as.is = TRUE)
splitted.data <- pick.training.samples(metadata.simulated, 
	      	 			training.fraction = 0.80, rseed = 1463)
## Error in eval(expr, envir, enclos): could not find function "pick.training.samples"

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