Nothing
###function to compute adjusted p-values
pvaluef <- function(data, mod) {
u.gene = unique(data$Gene)
u.gene = u.gene[order(u.gene)]
coeftrt = pvalue = result = array(0, c(1, length(u.gene)))
for (i in 1:length(u.gene)) {
dat = data[data$Gene == u.gene[i], ]
lm.dat = lm(mod, data = dat)
coeftrt[i] = coefficients(summary(lm.dat))[2, 1]
pvalue[i] = coefficients(summary(lm.dat))[2, 4]
}
result = p.adjust(pvalue, method = "fdr", n = length(pvalue))
list(result = result, pvalue = pvalue, coef = coeftrt)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.