| triangle | R Documentation |
These functions provide information about the triangle
distribution on the interval from a to b with a maximum at
c. dtriangle gives the density, ptriangle gives the
distribution function, qtriangle gives the quantile function, and
rtriangle generates n random deviates.
dtriangle(x, a = 0, b = 1, c = (a + b)/2) ptriangle(q, a = 0, b = 1, c = (a + b)/2) qtriangle(p, a = 0, b = 1, c = (a + b)/2) rtriangle(n = 1, a = 0, b = 1, c = (a + b)/2)
x, q |
vector of quantiles. |
a |
lower limit of the distribution. |
b |
upper limit of the distribution. |
c |
mode of the distribution. |
p |
vector of probabilities. |
n |
number of observations. If |
All probabilities are lower tailed probabilities.
a, b, and c may be appropriate length vectors except in
the case of rtriangle. rtriangle is derived from a draw from
runif. The triangle distribution has density:
f(x) = 2(x-a) / [(b-a)(c-a)]
for a <= x < c.
f(x) = 2(b-x) / [(b-a)(b-c)]
for c <= x <= b. f(x) = 0 elsewhere. The mean and variance are:
E(x) = (a + b + c) / 3
V(x) = (a^2 + b^2 + c^2 - ab - ac - bc) / 18
dtriangle gives the density, ptriangle gives the
distribution function, qtriangle gives the quantile function, and
rtriangle generates random deviates. Invalid arguments will result
in return value NaN or NA.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
.Random.seed about random number generation,
runif, etc for other distributions.
## view the distribution tri <- rtriangle(100000, 1, 5, 3) hist(tri, breaks=100, main="Triangle Distribution", xlab="x") mean(tri) # 1/3*(1 + 5 + 3) = 3 var(tri) # 1/18*(1^2 + 3^2 + 5^2 - 1*5 - 1*3 - 5*3) = 0.666667 dtriangle(0.5, 0, 1, 0.5) # 2/(b-a) = 2 qtriangle(ptriangle(0.7)) # 0.7
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