Expected.R2             Expected value of the squared multiple
                        correlation coefficient
Gardner.LD              The Gardner learning data, which was used by
                        L.R. Tucker
HS.data                 Complete Data Set of Holzinger and Swineford's
                        (1939) Study
MBESS                   Methods for the Behavioral, Educational, and
                        Social Sciences
Rsquare2F               Conversion functions from noncentral noncentral
                        values to their corresponding and vice versa,
                        for those related to the F-test and R Square.
Variance.R2             Variance of squared multiple correlation
                        coefficient
ci.R                    Confidence interval for the multiple
                        correlation coefficient
ci.R2                   Confidence intervals for the squared multiple
                        correlation coefficient
ci.c                    Confidence interval for a contrast in a fixed
                        effets ANOVA
ci.c.ancova             Confidence Interval for an (unstandardized)
                        contrast in ANCOVA with one covariate
ci.cv                   Confidence interval for the coefficient of
                        variation
ci.pvaf                 Confidennce Interval for the Proportion of
                        Variance Accounted for (in the dependent
                        variable by knowing the levels of the factor)
ci.rc                   Confidence Interval for a Regression
                        Coefficient
ci.reg.coef             confidence interval for a regression
                        coefficient
ci.sc                   Confidence Interval for a Standardized Contrast
                        in a Fixed Effets ANOVA
ci.sc.ancova            Confidence interval for a standardized contrast
                        in ANCOVA with one covariate
ci.sm                   Confidence Interval for the Standardized Mean
ci.smd                  Confidence limits for the standardized mean
                        difference.
ci.smd.c                Confidence limits for the standardized mean
                        difference using the control group standard
                        deviation as the divisor.
ci.snr                  Confidence Interval for the Signal-To-Noise
                        Ratio
ci.src                  Confidence Interval for a Standardized
                        Regression Coefficient
ci.srsnr                Confidence Interval for the Square Root of the
                        Signal-To-Noise Ratio
conf.limits.nc.chisq    Confidence limits for noncentral chi square
                        parameters
conf.limits.ncf         Confidence limits for noncentral F parameters
conf.limits.nct         Confidence limits for a noncentrality parameter
                        from a t-distribution
conf.limits.nct.M1      Confidence limits for a noncentrality parameter
                        from a t-distribution (Method 1 of 3)
conf.limits.nct.M2      Confidence limits for a noncentrality parameter
                        from a t-distribution (Method 2 of 3)
conf.limits.nct.M3      Confidence limits for a noncentrality parameter
                        from a t-distribution (Method 3 of 3)
cor2cov                 Correlation Matrix to Covariance Matrix
                        Conversion
cv                      Function to calculate the regular (and biased)
                        estimate of the coefficient of variation or the
                        unbiased estimate of the coefficient of
                        variation.
delta2lambda            Conversion functions for noncentral
                        t-distribution
intr.plot               Regression Surface Containing Interaction
intr.plot.2d            Plotting Conditional Regression Lines with
                        Interactions in Two Dimensions
prof.salary             Cohen et. al. (2003)'s professor salary data
                        set
s.u                     Unbiased estiamte for the standard deviation
signal.to.noise.R2      Signal to noise using squared multiple
                        correlation coefficient
smd                     Standardized mean difference
smd.c                   Standardized mean difference using the control
                        group as the basis of standardization
ss.aipe.R2              Sample Size Planning for Accuracy in Parameter
                        Estimation for the multiple correlation
                        coefficient.
ss.aipe.R2.sensitivity
                        Sensitivity analysis for sample size planning
                        with the goal of Accuracy in Parameter
                        Estimation (i.e., a narrow observed confidence
                        interval)
ss.aipe.c               Sample size planning for an ANOVA contrast from
                        the Accuracy in Parameter Estimation (AIPE)
                        perspective
ss.aipe.c.ancova        Sample size planning for a contrast in
                        randomized ANCOVA from the Accuracy in
                        Parameter Estimation (AIPE) perspective
ss.aipe.c.sensitivity.ancova
                        Sensitivity analysis for sample size planning
                        for the (unstandardized) contrast in randomized
                        ANCOVA from the Accuracy in Parameter
                        Estimation (AIPE) Perspective
ss.aipe.cv              Sample size planning for the coefficient of
                        variation given the goal of Accuracy in
                        Parameter Estimation approach to sample size
                        planning.
ss.aipe.cv.sensitivity
                        Sensitivity analysis for sample size planning
                        given the Accuracy in Parameter Estimation
                        approach for the coefficient of variation.
ss.aipe.rc              sample size necessary for the accuracy in
                        parameter estimation approach for an
                        unstandardized regression coefficient of
                        interest
ss.aipe.rc.sensitivity
                        Sensitivity analysis for sample size planing
                        from the Accuracy in Parameter Estimation
                        Perspective for the unstandardized regression
                        coefficient
ss.aipe.reg.coef        sample size necessary for the accuracy in
                        parameter estimation approach for a regression
                        coefficient of interest
ss.aipe.reg.coef.sensitivity
                        Sensitivity analysis for sample size planing
                        from the Accuracy in Parameter Estimation
                        Perspective for the (standardized and
                        unstandardized) regression coefficient
ss.aipe.sc              Sample size planning for Accuracy in Parameter
                        Estimation (AIPE) of the standardized contrast
                        in ANOVA
ss.aipe.sc.sensitivity
                        Sensitivity analysis for sample size planning
                        for the standardized ANOVA contrast from the
                        Accuracy in Parameter Estimation (AIPE)
                        Perspective
ss.aipe.sm              Sample size planning for Accuracy in Parameter
                        Estimation (AIPE) of the standardized mean
ss.aipe.sm.sensitivity
                        Sensitivity analysis for sample size planning
                        for the standardized mean from the Accuracy in
                        Parameter Estimation (AIPE) Perspective
ss.aipe.smd             Sample size planning for the standardized mean
                        difference from the Accuracy in Parameter
                        Estimation (AIPE) perspective
ss.aipe.smd.lower       Sample size planning for the standardized mean
                        different from the accuracy in parameter
                        estimation approach
ss.aipe.smd.sensitivity
                        Sensitivity analysis for sample size given the
                        Accuracy in Parameter Estimation approach for
                        the standardized mean difference.
ss.aipe.src             sample size necessary for the accuracy in
                        parameter estimation approach for a
                        standardized regression coefficient of interest
ss.aipe.src.sensitivity
                        Sensitivity analysis for sample size planing
                        from the Accuracy in Parameter Estimation
                        Perspective for the standardized regression
                        coefficient
ss.power.R2             Function to plan sample size so that the test
                        of the squred multiple correlation coefficient
                        is sufficiently powerful.
ss.power.rc             sample size for a targeted regression
                        coefficient
ss.power.reg.coef       sample size for a targeted regression
                        coefficient
verify.ss.aipe.R2       Internal MBESS function for verifying the
                        sample size in ss.aipe.R2
vit                     Visualize individual trajectories
vit.fitted              Visualize individual trajectories with fitted
                        curve and quality of fit
