View source: R/summary.qe.mean.sd.R
summary.qe.mean.sd | R Documentation |
Summary method for objects of class "qe.mean.sd".
## S3 method for class 'qe.mean.sd' summary(object, digits = 5, ...)
object |
object of class "qe.mean.sd". |
digits |
integer specifying the number of decimal places. |
... |
other arguments. |
A 5 x 3 matrix with columns for the estimated sample mean, estimated standard deviation, and sum of squares (of the objective function used in qe.fit
) under each candidate distribution.
qe.mean.sd
## Generate S2 summary data set.seed(1) n <- 100 x <- stats::rlnorm(n, 2.5, 1) quants <- stats::quantile(x, probs = c(0.25, 0.5, 0.75)) obs.mean <- mean(x) obs.sd <- stats::sd(x) ## Estimate the sample mean and standard deviation using the BC method res <- qe.mean.sd(q1.val = quants[1], med.val = quants[2], q3.val = quants[3], n = n) summary(res)
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