get.mat.diff.sign | R Documentation |
p-value for pairwise comparisons.
get.mat.diff.sign(x = x, y = y, n.x = n.x, n.y = n.x, test.type = "f")
x |
citations for product x |
y |
citations for product y |
n.x |
total observations for x |
n.y |
total observations for y |
test.type |
So far only Fisher's exact test is implemented ( |
Castura, J.C., AntĂșnez, L., GimĂ©nez, A., Ares, G. (2016). Temporal check-all-that-apply (TCATA): A novel temporal sensory method for characterizing products. Food Quality and Preference, 47, 79-90. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.foodqual.2015.06.017")}
fisher.test
# Toy TCATA citations data for two samples: s1, s2
s1 <- t(data.frame(sweet = c(10, 23, 25, 26, 26, 43, 44),
bitter = c( 4, 18, 19, 27, 36, 43, 54),
sour = c(40, 53, 85, 70, 46, 33, 24)))
s2 <- t(data.frame(sweet = c(11, 33, 45, 46, 56, 43, 44),
bitter = c( 0, 11, 11, 14, 25, 35, 34),
sour = c(30, 33, 35, 20, 26, 23, 24)))
colnames(s1) <- colnames(s2) <- paste0("time_", seq(5, 35, by = 5), "s")
n <- 90
signif <- get.mat.diff.sign(s1, s2, n, n)
signif
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