3.5.3.5 Inverse of Cumulative Distribution Functions

Name Brief Example
Chi2inv Computes the inverse of the \chi^2 cdf for the corresponding probabilities in X with parameters specified by \nu.
Ftable The F distribution function with m and n degrees of freedom. Example
Finv Computes the inverse of F cdf at  x, with parameters \nu_1 and \nu_2 .
Gaminv Computes the inverse of Gamma cdf at g_p , with parameters a and b.
IncF The incomplete F-table function.
InvF The inverse F distribution function with m and n degrees of freedom. Example
InvErf Computes inverse error function fnction at x.
Invprob The Inverse Probability Density function. Example
Invt The inverse t distribution function with n degrees of freedom. Example
Logninv Computes the deviate,x_p, associated with the given lower tail probability,p, of the Lognormal distribution using the parameters \mu and \sigma.
Norminv Computes the deviate,x_p, associated with the given lower tail probability,p, of the standardized normal distribution.
Srangeinv Computes the deviate, x_p, associated with the lower tail probability of the distribution of the Studentized range statistic.
Ttable The Student's t distribution with n degrees of freedom. Example
Tinv Computes the deviate associated with the lower tail probability of Student's t-distribution with real degrees of freedom.
Wblinv Computes the inverse Weibull cumulative distribution function for the given probability using the parameters a and b.
Betainv Returns the inverse of the cumulative distribution function for a specified beta distribution. Example