tukeyMyerson | R Documentation |
Density function for Tukey-Myerson distribution (Myerson distribution with Tukey lambda base function).
qtukeyMyerson(
p,
q1,
q2,
q3,
alpha = 0.25,
tlambda = 0,
lower.tail = TRUE,
log.p = FALSE
)
ftukeyMyerson(
p,
q1,
q2,
q3,
alpha = 0.25,
tlambda = 0,
log = FALSE,
lower.tail = TRUE,
log.p = FALSE
)
dqtukeyMyerson(
p,
q1,
q2,
q3,
alpha = 0.25,
tlambda = 0,
log = FALSE,
lower.tail = TRUE,
log.p = FALSE
)
rtukeyMyerson(n, q1, q2, q3, alpha = 0.25, tlambda = 0)
ptukeyMyerson(
q,
...,
lower = 0,
upper = 1,
tol = 1e-06,
silent = TRUE,
trace = 0
)
p |
vector of probabilities |
q1 , q2 , q3 |
numeric values representing bottom quantile, middle quantile (50th percentile) and top quantile. Quantiles are assumed to be symmetrical. |
alpha |
numerical fixed proportion of distribution below the bottom quantile. Default value is 0.25 |
tlambda |
numerical Tukey lambda |
lower.tail |
logical; if TRUE (default), probabilities are |
log , log.p |
logical; if TRUE, probabilities p are given as log(p) |
n |
number of observations. If 'length(n)>1“, the length is taken to be the number required. |
q |
vector of quantiles. |
... |
used by method |
lower , upper |
the |
tol |
the |
silent |
the |
trace |
integer number passed to |
a vector of probabilities of length equal to length(x)
a vector of exceedance probabilities of length equal to length(x)
.
qtukeyMyerson(0.25, 10, 20, 40)
flogitMyerson(0.25, 10, 20, 40)
dqlogitMyerson(0.25, 10, 20, 40)
rlogitMyerson(1, 10, 20, 40)
ptukeyMyerson(0.25, 10, 20, 40)
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