conf.limits.nc.chisq {psychmeta} | R Documentation |
Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3)
Function to determine the noncentral parameter that leads to the observed Chi.Square
-value,
so that a confidence interval for the population noncentral chi-square value can be formed.
Description
Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3)
Function to determine the noncentral parameter that leads to the observed Chi.Square
-value,
so that a confidence interval for the population noncentral chi-square value can be formed.
Usage
conf.limits.nc.chisq(
Chi.Square = NULL,
conf.level = 0.95,
df = NULL,
alpha.lower = NULL,
alpha.upper = NULL,
tol = 1e-09,
Jumping.Prop = 0.1
)
Arguments
Chi.Square |
the observed chi-square value |
conf.level |
the desired degree of confidence for the interval |
df |
the degrees of freedom |
alpha.lower |
Type I error for the lower confidence limit |
alpha.upper |
Type I error for the upper confidence limit |
tol |
tolerance for iterative convergence |
Jumping.Prop |
Value used in the iterative scheme to determine the noncentral parameters necessary for confidence interval construction using noncentral chi square-distributions ( |
Details
If the function fails (or if a function relying upon this function fails), adjust the Jumping.Prop
(to a smaller value).
Value
Lower.Limit
: Value of the distribution withLower.Limit
noncentral value that has at its specified quantileChi.Square
Prob.Less.Lower
: Proportion of cases falling belowLower.Limit
Upper.Limit
: Value of the distribution withUpper.Limit
noncentral value that has at its specified quantileChi.Square
Prob.Greater.Upper
: Proportion of cases falling aboveUpper.Limit
Author(s)
Ken Kelley (University of Notre Dame; KKelley@ND.edu), Keke Lai (University of California–Merced)