mazUNI | R Documentation |
These functions provide the ability for generating probability density values, cumulative probability density values and moments about zero values for the Uniform Distribution bounded between [0,1].
mazUNI(r)
r |
vector of moments |
Setting a=0
and b=1
in the Uniform Distribution
a unit bounded Uniform Distribution can be obtained. The probability density function
and cumulative density function of a unit bounded Uniform Distribution with random
variable P are given by
g_{P}(p) = 1
0 \le p \le 1
G_{P}(p) = p
0 \le p \le 1
The mean and the variance are denoted as
E[P]= \frac{1}{a+b}= 0.5
var[P]= \frac{(b-a)^2}{12}= 0.0833
Moments about zero is denoted as
E[P^r]= \frac{e^{rb}-e^{ra}}{r(b-a)}= \frac{e^r-1}{r}
r = 1,2,3,...
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
The output of mazUNI
gives the moments about zero in vector form.
horsnell1957economicalfitODBOD \insertRefjohnson1995continuousfitODBOD
Uniform
or
https://stat.ethz.ch/R-manual/R-devel/library/stats/html/Uniform.html
#plotting the random variables and probability values
plot(seq(0,1,by=0.01),dUNI(seq(0,1,by=0.01))$pdf,type = "l",main="Probability density graph",
xlab="Random variable",ylab="Probability density values")
dUNI(seq(0,1,by=0.05))$pdf #extract the pdf values
dUNI(seq(0,1,by=0.01))$mean #extract the mean
dUNI(seq(0,1,by=0.01))$var #extract the variance
#plotting the random variables and cumulative probability values
plot(seq(0,1,by=0.01),pUNI(seq(0,1,by=0.01)),type = "l",main="Cumulative density graph",
xlab="Random variable",ylab="Cumulative density values")
pUNI(seq(0,1,by=0.05)) #acquiring the cumulative probability values
mazUNI(c(1,2,3)) #acquiring the moment about zero values
#only the integer value of moments is taken here because moments cannot be decimal
mazUNI(1.9)
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