Description Usage Arguments Value Author(s) References Examples
This function computes fold changes, t statistics, p-values, and adjusted p-values for each metabolite given a series of replicates and two biological conditions.
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inputdata |
A log transformed data frame in the input data format. See |
alternative |
A character string specifying the alternative hypothesis for the t tests. This should be one of " |
paired |
A logical indicating whether the t-test should be paired
or not. The default is set to " |
padjmethod |
A character string specifying p-value adjustment method for multiple comparisons. Must be one of " |
saveoutput |
A logical indicating whether the output should be saved. If TRUE the output will be saved as a .csv file. |
outputname |
The name of the output file if the output has to be saved. |
... |
Further arguments to be passed to or from methods. |
The result is an object of class "results
".
output |
A matrix with t statistics, p-values, adjusted p-values, fold changes, and standard errors. |
Alysha M De Livera, Jairus B Bowne
Benjamini, Y., Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological) 57(1): 289-300.
Benjamini, Y., Yekutieli, D. (2001) The Control of the False Discovery Rate in Multiple Testing under Dependency. The Annals of Statistics 29(4): 1165-1188.
Hochberg, Y. (1988) A sharper Bonferroni procedure for multiple tests of significance. Biometrika 75(4): 800-802.
Holm, S. (1979) A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics 6(2): 65-70.
Hommel, G. (1988) A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika 75(2): 383-386.
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