lessR (version 2.3.1)

prob.norm: Compute and Plot Normal Curve Probabilities over an Interval

Description

Calculate the probability of an interval for a normal distribution with specified mean and standard deviation, providing both the numerical probability and a plot of the interval with the corresponding normal curve.

Usage

prob.norm(lo=NULL, hi=NULL, mu=0, sigma=1, col.nrm="black", 
         col.fill.nrm="grey91", col.fill.int="slategray3", 
         ylab="", y.axis=FALSE, z=TRUE, mag=.9, ...)

Arguments

lo

Lowest value in the interval for which to compute probability.

hi

Highest value in the interval for which to compute probability.

mu

Population mean of normal distribution.

sigma

Population standard deviation of normal distribution.

col.nrm

Color of the border of the normal curve.

col.fill.nrm

Fill color of the normal curve.

col.fill.int

Fill color of the interval for which the probability is computed.

ylab

Label for the optional vertical axis.

y.axis

If TRUE, then a vertical axis is included.

z

If TRUE, then include z-values on the horizontal-axis. Set to FALSE if mu=0 and sigma=1.

mag

Magnification factor for the axis labels, the value of cex.axis.

...

Other parameter values for graphics.

Details

Calculate the normal curve probability for the specified interval and normal curve. If there is no upper value of the interval provided, hi, then the upper tail probability is provided, that is, from the specified value until positive infinity. If there is no lower value, lo, then the lower tail probability is provided. The probability is calculated with pnorm.

See Also

pnorm, plot.

Examples

# Mu=0, Sigma=1: Standard normal prob, values between 0 and 2
prob.norm(0,2)

# Mu=0, Sigma=1: Standard normal prob, values lower than 2
prob.norm(hi=2)

# Mu=0, Sigma=1: Standard normal prob, values larger than 2
prob.norm(lo=2)

# Mu=100, Sigma=15: Change default fill color of plotted interval
prob.norm(lo=115, hi=125, mu=100, sigma=15, col.fill.int="plum")