Neutrosophic Uniform {ntsDists} | R Documentation |
Density, distribution function, quantile function and random
generation for the neutrosophic Uniform distribution of a continuous
variable X
with parameters a_N
and b_N
.
dnsUnif(x, min, max)
pnsUnif(q, min, max, lower.tail = TRUE)
qnsUnif(p, min, max)
rnsUnif(n, min, max)
x |
a vector or matrix of observations for which the pdf needs to be computed. |
min |
lower limits of the distribution. Must be finite. |
max |
upper limits of the distribution. Must be finite. |
q |
a vector or matrix of quantiles for which the cdf needs to be computed. |
lower.tail |
logical; if TRUE (default), probabilities are
|
p |
a vector or matrix of probabilities for which the quantile needs to be computed. |
n |
number of random values to be generated. |
The neutrosophic Uniform distribution with parameters
a_N
and b_N
has the density
f_N(x)=\frac{1}{b_N-a_N}
for a_N \in (a_L, a_U)
lower parameter interval, b_N \in (b_L,b_U)
,
upper parameter interval.
dnsUnif
gives the density function
pnsUnif
gives the distribution function
qnsUnif
gives the quantile function
rnsUnif
generates random variables from the neutrosophic Uniform Distribution.
Alhabib, R., Ranna, M. M., Farah, H., & Salama, A. A. (2018). Some neutrosophic probability distributions, Neutrosophic Sets and Systems, 22, 30-38.
dnsUnif(x = 1, min = c(0, 5), max = c(15, 20))
dnsUnif(x = c(6, 10), min = c(0, 5), max = c(15, 20))
punif(q = 1, min = c(0, 5), max = c(15, 20))
punif(q = c(6, 10), min = c(0, 5), max = c(15, 20))
qnsUnif(p = c(0.25, 0.5, 0.75), min = c(0, 5), max = c(15, 20))
rnsUnif(n = 10, min = c(0, 5), max = c(15, 20))