Function reference

Nonparametric Bootstrap

NB()

Generate the Sampling Distribution of Sample Covariances Using Nonparametric Bootstrapping

Standardized Regression Coefficients

BetaNB()

Estimate Standardized Regression Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Multiple Correlation

RSqNB()

Estimate Multiple Correlation Coefficients (R-Squared and Adjusted R-Squared) and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Semipartial Correlation

SCorNB()

Estimate Semipartial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Improvement in R-Squared

DeltaRSqNB()

Estimate Improvement in R-Squared and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Squared Partial Correlation

PCorNB()

Estimate Squared Partial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Differences of Standardized Regression Coefficients

DiffBetaNB()

Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping

Methods

coef(<betanb>)

Estimated Parameter Method for an Object of Class betanb

confint(<betanb>)

Confidence Intervals Method for an Object of Class betanb

print(<betanb>)

Print Method for an Object of Class betanb

print(<nb>)

Print Method for an Object of Class nb

summary(<betanb>)

Summary Method for an Object of Class betanb

vcov(<betanb>)

Sampling Variance-Covariance Matrix Method for an Object of Class betanb

Data

nas1982

1982 National Academy of Sciences Doctoral Programs Data