R: Multilevel Functions

# Multilevel Functions

## Documentation for package ‘multilevel’ version 2.8

- DESCRIPTION file

## Help Pages

ad.m | Average deviation around mean or median
ad.m.sim | Simulate significance of average deviation around mean or median
awg | Brown and Hauenstein (2005) awg agreement index
banddat | Longitudinal Engagement Data from a University Band from Patrick Flynn
bh1996 | Data from Bliese and Halverson (1996)
bhr2000 | Data from Bliese, Halverson and Rothberg (2000)
boot.icc | Bootstrap ICC values in 2-level data
chen2005 | Data from Chen (2005)
cohesion | Small nested cohesion data frame
cordif | Estimate whether two independent correlations differ
cordif.dep | Estimate whether two dependent correlations differ
correct.gcor | Correct group-level correlations for group-mean reliability
cronbach | Estimate Cronbach's Alpha
dgm.code | Create Coding Matrix for Discontinuous Growth Model
gmeanrel | Group Mean Reliability from an lme model (nlme package)
graph.ran.mean | Graph Random Group versus Actual Group distributions
ICC1 | Estimate Intraclass Correlation Coefficient 1 or ICC(1) from an aov model
ICC2 | Intraclass Correlation Coefficient 2 or ICC(2) from an aov model
item.total | Item-total correlations
klein2000 | Data from Klein, Bliese, Kozlowski et al., (2000)
lq2002 | Data used in special issue of Leadership Quarterly, Vol. 13, 2002
make.univ | Convert data from multivariate to univariate form
mix.data | Randomly mix grouped data
mult.icc | Multiple ICCs from a dataset
mult.make.univ | Convert two or more variables from multivariate to univariate form
paneldat | Firm-Level Panel Data from Donald J. (DJ) Schepker
quantile.agree.sim | S3 method for class 'agree.sim'
quantile.disagree.sim | S3 method for class 'disagree.sim'
quantile.rgr.waba | S3 method for class 'rgr.waba'
ran.group | Randomly mix grouped data and return function results
rgr.agree | Random Group Resampling for Within-group Agreement
rgr.ols | Random Group Resampling OLS Regression
rgr.waba | Random Group Resampling of Covariance Theorem Decomposition
rmv.blanks | Remove blanks spaces from non-numeric variables imported from SPSS dataframes
rtoz | Conducts an r to z transformation
rwg | James et al., (1984) agreement index for single item measures
rwg.j | James et al., (1984) agreement index for multi-item scales
rwg.j.lindell | Lindell et al. r*wg(j) agreement index for multi-item scales
rwg.j.sim | Simulate rwg(j) values from a random null distribution
rwg.sim | Simulate rwg values from a random null distribution
sam.cor | Generate a Sample that Correlates a Given Vector
sherifdat | Sherif (1935) group data from 3 person teams
sim.icc | Simulate 2-level ICC(1) values with and without level-1 correlation
sim.mlcor | Simulate a multilevel correlation
simbias | Simulate Standard Error Bias in Non-Independent Data
sobel | Estimate Sobel's (1982) Test for Mediation
summary.agree.sim | S3 method for class 'agree.sim'
summary.disagree.sim | S3 method for class 'disagree.sim'
summary.rgr.agree | S3 method for class 'rgr.agree'
summary.rgr.waba | S3 method for class 'rgr.waba'
tankdat | Tank data from Bliese and Lang (2016)
univbct | Data from Bliese and Ployhart (2002)
waba | Covariance Theoreom Decomposition of Bivariate Two-Level Correlation