q <- stats::qlogis(p = c(0.025, 0.5, 0.975), location = 0, scale = 1)
old.par <- graphics::par(mfrow = c(2, 3))
get.logis.par(q = q)
get.logis.par(q = q, scaleX = c(0.5, 0.5))
get.logis.par(q = q, fit.weights = c(100, 1, 100))
get.logis.par(q = q, fit.weights = c(10, 1, 10))
get.logis.par(q = q, fit.weights = c(1, 100, 1))
get.logis.par(q = q, fit.weights = c(1, 10, 1))
graphics::par(old.par)
q <- stats::qlogis(p = c(0.025, 0.5, 0.975), location = 0, scale = 3)
old.par <- graphics::par(mfrow = c(2, 3))
get.logis.par(q = q)
get.logis.par(q = q, fit.weights = c(100, 1, 100))
get.logis.par(q = q, fit.weights = c(10, 1, 10))
get.logis.par(q = q, fit.weights = c(1, 100, 1))
get.logis.par(q = q, fit.weights = c(1, 10, 1))
graphics::par(old.par)
## example with only two quantiles
q <- stats::qlogis(p = c(0.025, 0.975), location = 0, scale = 3)
old.par <- graphics::par(mfrow = c(1, 3))
get.logis.par(p = c(0.025, 0.975), q = q)
get.logis.par(p = c(0.025, 0.975), q = q, fit.weights = c(100, 1))
get.logis.par(p = c(0.025, 0.975), q = q, fit.weights = c(10, 1))
graphics::par(old.par)
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