Perform Student's t-tests on the data.
Arguments
- dataSet
The 2d data set of data.
- ref
A string (default = NULL) specifying the reference condition for comparison. If NULL, all pairwise comparisons are performed.
- adjust.method
A string (default = "none") specifying the correction method for p-value adjustment:
"BH" or its alias "fdr": Benjamini and Hochberg (1995) .
"BY": Benjamini and Yekutieli (2001) .
"bonferroni": Bonferroni (1936) .
"hochberg": Hochberg (1988) .
"holm": Holm (1979) .
"hommel": Hommel (1988) .
"none": None
See
p.adjust
for more details.- paired
A boolean (default = FALSE) specifying whether or not to perform a paired test.
- pool.sd
A boolean (default = FALSE) specifying whether or not to use a pooled standard deviation.
Value
A list comprising data frames for each comparison, with each data frame containing the means of the two compared conditions for each protein, the difference in means, and the p-values. Additionally, a separate data frame called "total" summarizes the results of multiple comparisons.
References
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.
doi:10.1111/j.2517-6161.1995.tb02031.x
.
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.
doi:10.1214/aos/1013699998
.
Bonferroni CE (1936).
“Teoria Statistica Delle Classi e Calcolo Delle Probabilità.”
Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62.
Hochberg Y (1988).
“A Sharper Bonferroni Procedure for Multiple Tests of Significance.”
Biometrika, 75(4), 800–802.
doi:10.1093/biomet/75.4.800
.
Holm S (1979).
“A Simple Sequentially Rejective Multiple Test Procedure.”
Scandinavian Journal of Statistics, 6(2), 65–70.
https://www.jstor.org/stable/4615733.
Hommel G (1988).
“A Stagewise Rejective Multiple Test Procedure Based on a Modified Bonferroni Test.”
Biometrika, 75(2), 383–386.
doi:10.1093/biomet/75.2.383
.