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...y above, I am thinking a change of mindset might be necessary, although I am not certain if the same issue that affects NR will propagate to other root finding algorithms. Now, to use uniroot, my understanding is that I need to start with two guesses for a lower and upper limit of a such that: f(x_l)*f(x_u) < 0 Where f(x_l) and f(x_u) are the lower and upper limits, respectively. With this, I can try: f <- function(R,a,c,q) sum((1 - (1-R)^a)^(1/a)) - c * q uniroot(f, c(.5,2), R = c(.2,.4), c = .5, q=2) Which gives the same root as my NR function. Now, the issue I am running into is th...

Hola, Estoy intentando averiguar cómo contar el número de categorías situadas después de ciertos valores. Por ejemplo, en el siguiente vector: x <- c(3, "A", "B", 5, "A", 4, 5, "A", "A", 3) el resultado que quisiera obtener es: Valor -> Resultado 3 -> 1 A y 1 B 4 -> 0 A y 0 B 5 -> 3 A y 0 B ¿Alguien tiene alguna

Le 31/05/2017 ? 17:30, Serguei Sokol a ?crit : > > More thorough reading revealed that I have overlooked this phrase in the > line's doc: "left and right /thirds/ of the data" (emphasis is mine). Oops. I have read the first ref returned by google and it happened to be tibco's doc, not the R's one. The layout is very similar hence my mistake. The latter does not

...physical libraries anymore; In this case, interestingly, you need one of those I think - almost everything I found online did not have the exact details. Peter Dalgaard definitely was right that Tukey did not use quantiles at all, and notably did *not* define the three groups via {i; x_i <= x_L} and {i; x_i >= X_R} which (as I think you noticed) may make the groups quite unbalanced in case of duplicated x's. But then, for now I had decided to fix the bug (namely computing the x-medians wrongly as you diagnosed correctly(!) -- but your first 2 patches only fixed partly) *and* go...