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R: Post-Hoc Interaction Analysis
...Coefficient Matrices of Factor Contrasts interactionMeans Calculate and Plot Adjusted Means for Interactions Keselman Repeated-Measures Pyschopsychological Experiment Keselman1 Repeated-Measures...
/CRAN/refmans/phia/html/00Index.html
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R: Repeated measures ANOVA
...in repMeasAnovaSetup, (ii) select the between-suject factors, (iii) set options and (iv) launch the repeated measures anova. Usage repMeasAnova(.withinfactors, .withinlevels) Arguments .withinfactors...
/CRAN/refmans/RcmdrPlugin.aRnova/html/repMeasAnova.html
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R: A heteroscedastic one-way repeated measures ANOVA for trimmed...
...measures ANOVA for trimmed means. Description The rmanova function computes a one-way repeated measures ANOVA for the trimmed means. Homoscedasticity assumption not required. Corresponding post hoc...
/CRAN/refmans/WRS2/html/rmanova.html
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R: A heteroscedastic one-way repeated measures bootstrap ANOVA...
...repeated measures ANOVA for the trimmed means. Homoscedasticity assumption not required. Corresponding post hoc tests can be performed using pairdepb. Usage rmanovab(y, groups, blocks, tr = 0.2, nboot...
/CRAN/refmans/WRS2/html/rmanovab.html
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R: Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
...Pages MANOVA.RM-package MANOVA.RM: A package for calculating test statistics and their resampling versions for heteroscedastic semi-parametric multivariate data or repeated measures designs. conf.reg...
/CRAN/refmans/MANOVA.RM/html/00Index.html
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R: Simple-effect analysis and post-hoc multiple comparison.
...post-hoc multiple comparison. Description Perform (1) simple-effect (and simple-simple-effect) analyses, including both simple main effects and simple interaction effects, and (2) post-hoc multiple...
/CRAN/refmans/bruceR/html/EMMEANS.html
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R: Simplified One-Way Repeated Measures Analysis of Variance
...Simplified One-Way Repeated Measures Analysis of Variance Description This function simplifies the call for repeated measures ANOVA (rm.anova) on a given data frame. Also allows calls for sphericity...
/CRAN/refmans/vannstats/html/rm.anova.html
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R: Repeated Measures ANOVA
anovaRM {jmv} R Documentation Repeated Measures ANOVA Description The Repeated Measures ANOVA is used to explore the relationship between a continuous dependent variable and one or more categorical...
/CRAN/refmans/jmv/html/anovaRM.html
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R: Likelihood Supports for One-way Repeated Measures ANOVA
L_1way_RM_ANOVA {likelihoodR} R Documentation Likelihood Supports for One-way Repeated Measures ANOVA Description This function calculates support for the treatment means versus the null model, Type...
/CRAN/refmans/likelihoodR/html/L_1way_RM_ANOVA.html
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R: Repeated Measures Analysis of Variance (Within-Subject ANOVA)
...Repeated Measures Analysis of Variance (Within-Subject ANOVA) Description This function performs an one-way repeated measures analysis of variance (within subject ANOVA) including paired-samples t-...
/CRAN/refmans/misty/html/aov.w.html
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R: Repeated measures functional analysis of variance
...function rmfanova() calculates the tests based on three test statistics \mathcal{C}_n, \mathcal{D}_n, and \mathcal{E}_n for the problem of comparing \ell-samples of repeated measures for functional...
/CRAN/refmans/rmfanova/html/rmfanova.html
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R: ANCOVA
...as ANOVA, but with the addition of covariates. Usage ancova(data, dep, factors = NULL, covs = NULL, effectSize = NULL, modelTest = FALSE, modelTerms = NULL, ss = "3", homo = FALSE, norm = FALSE, qq = ...
/CRAN/refmans/jmv/html/ancova.html
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R: ANOVA
...modelTerms = NULL, ss = "3", homo = FALSE, norm = FALSE, qq = FALSE, contrasts = NULL, postHoc = NULL, postHocCorr = list("tukey"), postHocES = list(), postHocEsCi = FALSE, postHocEsCiWidth = 95...
/CRAN/refmans/jmv/html/ANOVA.html
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R: Easy Graphs for Data Visualisation and Linear Models for ANOVA
...block design of treatments of strains of mice. data_2w_Tdeath In vitro measurement of percentage cell death - two-way ANOVA design with repeated measures, and randomised blocks. data_cholesterol ...
/CRAN/refmans/grafify/html/00Index.html
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R: semPower.powerLI
...semPower.powerLI( type, comparison = NULL, nullEffect = NULL, autocorResiduals = TRUE, Phi = NULL, ... ) Arguments type type of power analysis, one of 'a-priori', 'post-hoc', 'compromise'. comparison...
/CRAN/refmans/semPower/html/semPower.powerLI.html
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R: semPower.powerAutoreg
...powerAutoreg( type, comparison = "restricted", nWaves = NULL, autoregEffects = NULL, lag1Effects = autoregEffects, lag2Effects = NULL, lag3Effects = NULL, means = NULL, variances = NULL, waveEqual...
/CRAN/refmans/semPower/html/semPower.powerAutoreg.html
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R: A Collection of Statistical Tools for Biologists
...Pages A B C D E F G H I J K L M N O P Q R S T V W -- A -- agrostis Agrostis variabilis cover measurements aids Aids and veterans dataset alfalfa.split.plot An agricultural split plot design alpha.div...
/CRAN/refmans/asbio/html/00Index.html
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R: semPower.powerCLPM
...a cross-lagged panel model (CLPM). This requires the lavaan package. Usage semPower.powerCLPM( type, comparison = "restricted", nWaves = NULL, autoregEffects = NULL, crossedEffects = NULL, rXY = NULL...
/CRAN/refmans/semPower/html/semPower.powerCLPM.html
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R: Easy analysis and visualization of factorial experiments
...k.a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs. The functions in this package aim to provide simple, intuitive and consistent specification of data...
/CRAN/refmans/ez/html/ez-package.html
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R: semPower.powerLGCM
...semPower.powerLGCM( type, comparison = "restricted", nWaves = NULL, means = NULL, variances = NULL, covariances = NULL, quadratic = FALSE, timeCodes = NULL, ticExogSlopes = NULL, ticEndogSlopes = NULL...
/CRAN/refmans/semPower/html/semPower.powerLGCM.html
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R: semPower.powerRICLPM
...panel model (RI-CLPM). This requires the lavaan package. Usage semPower.powerRICLPM( type, comparison = "restricted", nWaves = NULL, autoregEffects = NULL, crossedEffects = NULL, rXY = NULL, rBXBY...
/CRAN/refmans/semPower/html/semPower.powerRICLPM.html
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R: semPower.powerARMA
...powerARMA( type, comparison = "restricted", nWaves = NULL, autoregEffects = NULL, autoregLag1 = autoregEffects, autoregLag2 = NULL, autoregLag3 = NULL, mvAvgLag1 = NULL, mvAvgLag2 = NULL, mvAvgLag3...
/CRAN/refmans/semPower/html/semPower.powerARMA.html
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R: Permutation Randomization Tests of Measurement Equivalence...
...Tests of Measurement Equivalence and Differential Item Functioning (DIF) Description The function permuteMeasEq provides tests of hypotheses involving measurement equivalence, in one of two frameworks...
/CRAN/refmans/semTools/html/permuteMeasEq.html
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R: Evaluate and Test Combinations of Factor Levels
...specially indicated for post-hoc analyses of models with factors, to test pairwise comparisons of factor levels, simple main effects, and interaction contrasts. In multivariate models, it is possible...
/CRAN/refmans/phia/html/testFactors.html
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R: Aligned Rank Transform
...on models with numeric or ordinal responses, which can be done by following up with anova.art. Usage art( formula, data, rank.comparison.digits = -floor(log10(.Machine$double.eps^0.5)), check.errors...
/CRAN/refmans/ARTool/html/art.html
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R: Convenient ANOVA estimation for factorial designs
...e., purely within-subjects ANOVAs, purely between-subjects ANOVAs, and mixed between-within or split-plot ANOVAs) for data in the long format (i.e., one observation per row). If the data has more than...
/CRAN/refmans/afex/html/aov_car.html
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R: Plot data from a factorial experiment
...measures”), purely between-Ss designs, and mixed within-and-between-Ss designs. By default, Fisher's Least Significant Difference is computed to provide error bars that facilitate visual post-hoc...
/CRAN/refmans/ez/html/ezPlot.html
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R: Compute ANOVA
...a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs, yielding ANOVA results, generalized effect sizes and assumption checks. Usage ezANOVA( data , dv , wid...
/CRAN/refmans/ez/html/ezANOVA.html
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R: Compute descriptive statistics from a factorial experiment
...data from factorial experiments, including purely within-Ss designs (a.k.a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs. Usage ezStats( data , dv , wid...
/CRAN/refmans/ez/html/ezStats.html
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R: Simulate Computerized Adaptive Tests (CATs)
...termination criteria. Usage catIrt( params, mod = c("brm", "grm"), resp = NULL, theta = NULL, catStart = list( n.start = 5, init.theta = 0, select = c("UW-FI", "LW-FI", "PW-FI", "FP-KL", "VP-KL", "FI-...
/CRAN/refmans/catIrt/html/catIrt.html
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R: Simulation of multiple examinees of adaptive tests
...items, stopping rule, provisional and final ability estimators). Usage simulateRespondents(thetas, itemBank, responsesMatrix = NULL, model = NULL, genSeed = NULL, cbControl = NULL, rmax = 1, Mrmax...
/CRAN/refmans/catR/html/simulateRespondents.html
cran-help matching:
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