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multilevel (version 2.5)

Multilevel Functions

Description

The functions in this package are designed to be used in the analysis of multilevel data by applied psychologists. The package includes functions for estimating common within-group agreement and reliability indices. The package also contains basic data manipulation functions that facilitate the analysis of multilevel and longitudinal data.

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Version

Install

install.packages('multilevel')

Monthly Downloads

4,129

Version

2.5

License

GPL (>= 2)

Maintainer

Paul Bliese

Last Published

April 10th, 2013

Functions in multilevel (2.5)

awg

Brown and Hauenstein (2005) awg agreement index
ad.m

Average deviation around mean or median
graph.ran.mean

Graph Random Group versus Actual Group distributions
item.total

Item-total correlations
make.univ

Convert data from multivariate to univariate form
ICC2

Function to Estimate Intraclass Correlation Coefficient 2 or ICC(2) from an aov model
sam.cor

Generate a Sample that Correlates with a Fixed Set of Observations
ran.group

Randomly mix grouped data and return function results
rgr.OLS

Random Group Resampling OLS Regression
mix.data

Randomly mix grouped data
mult.icc

Multiple ICCs from a dataset
simple.predict

A simple variant of the generic predict command useful for S4 lmer models
summary.rgr.waba

S3 method for class 'rgr.waba'
summary.rgr.agree

S3 method for class 'rgr.agree'
lq2002

Data used in special issue of Leadership Quarterly, Vol. 13, 2002
rmv.blanks

Remove blanks spaces from non-numeric variables imported from SPSS dataframes
simbias

Simulate Standard Error Bias in Non-Independent Data
quantile.agree.sim

S3 method for class 'agree.sim'
bhr2000

Data from Bliese, Halverson and Rothberg (2000)
mult.make.univ

Convert two or more variables from multivariate to univariate form
ad.m.sim

Simulate significance of average deviation around mean or median
cohesion

Five cohesion ratings from 11 individuals nested in 4 platoons in 2 larger units
waba

Covariance Theoreom Decomposition of Bivariate Two-Level Correlation
GmeanRel

Group Mean Reliability from an lme model (nlme package)
chen2005

Data from Chen (2005)
quantile.rgr.waba

S3 method for class 'rgr.waba'
rwg

James et al., (1984) agreement index for single item measures
rwg.j

James et al., (1984) agreement index for multi-item scales
sobel

Estimate Sobel's (1982) Test for Mediation
rwg.j.sim

Simulate rwg(j) values from a random null distribution
summary.agree.sim

S3 method for class 'agree.sim'
summary.disagree.sim

S3 method for class 'disagree.sim'
rgr.waba

Random Group Resampling of Covariance Theorem Decomposition
univbct

Data from Bliese and Ployhart (2002)
klein2000

Data from Klein, Bliese, Kozlowski et al., (2000)
ICC1

Function to Estimate Intraclass Correlation Coefficient 1 or ICC(1) from an aov model
bh1996

Data from Bliese and Halverson (1996)
cordif.dep

Estimate whether two dependent correlations differ
rwg.j.lindell

Lindell et al. r*wg(j) agreement index for multi-item scales
rgr.agree

Random Group Resampling for Within-group Agreement
cordif

Estimate whether two independent correlations differ
cronbach

Estimate Cronbach's Alpha
quantile.disagree.sim

S3 method for class 'disagree.sim'
rwg.sim

Simulate rwg values from a random null distribution
rtoz

Conducts an r to z transformation