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...fect size''' - difference between the means divided by the pooled standard deviation.

# Standard deviation 1.6966 1.0091 0.29225 0.13321 # Standard deviation 1.5749 0.9949 0.59713 0.41645

...tion, the intercept and slope from a linear fit, and the residual standard deviation for linear fits applied to each batch. # the batch-specific deviation from the overall mean

...">\scriptstyle s.e.(\hat\beta)</math> is the [[standard error (statistics)|standard error]] of the estimator <math style="vertical-align:-.3em">\scriptstyle\ha ...e square-root of a pooled variance estimator is known as a pooled standard deviation.

...ambda.1se''' (the most ''regularized'' model such that error is within one standard error of the minimum). For the tuning parameter <math>\lambda</math>, * Standard error/Confidence interval

...e.com/a/242818 How to interpret root mean squared error (RMSE) vs standard deviation?] 𝑅² value. ...-07-08-rob_stderr/ Dealing with heteroskedasticity; regression with robust standard errors using R]

** Record the maximum deviation from zero as the enrichment score [https://academic.oup.com/bib/article/22/1/545/5722384 Toward a gold standard for benchmarking gene set enrichment analysis] Geistlinger, 2021. [http://b

# log in as standard user and click the Go button for Manage Excel add-ins. Since BRB-ArrayTools === SOURCE at standard ===

...d error with an appropriate '''T distribution (for linear models)''' or '''standard normal distribution (for logistic or Cox regression)'''. * http://stackoverflow.com/questions/16134786/simulate-data-from-non-standard-density-function

cd C:\R\R-3.0.1\library\RInside\examples\standard ...quality. I'd recommend '''at least 1200 pixels''' on the longest side for standard printers.

...rd deviation (uncertainty) of these parameters, and therefore the standard deviation on the fold-change estimator. This can help to estimate the significance of # from the minimum value, and so the standard curve fitting techniques will not work.