NEWS (original) (raw)

• Improved MANOVA() and EMMEANS():
• Fixed several bugs.
• Modified the help pages.
• Improved output tables. Now all results are printed usingprint_table().
• Improved algorithm for estimating Cohen’s d: Now it uses**Root Mean Square Error** (RMSE) as the pooled SD to estimate Cohen’s d. Although there is disagreement on the estimation of pooled SD,EMMEANS() adopts this reasonable approach. If one usesMANOVA() and EMMEANS() to conduct the same_t_-test as using the TTEST() function, the results will be identical. Indeed, the estimation methods of Cohen’s _d_in _t_-tests are acknowledged. In computing pooled SD in ANOVAs, it uses (1) the square root of mean square error (MSE) for between-subjects designs and **(2)**the square root of mean variance of all paired differences of the residuals of repeated measures for within-subjects and mixed designs. In both situations, it extracts the lm object from the returned value of MANOVA(). Then, it mainly uses thesigma() and residuals() functions, respectively, to do these estimates. For source code, see R file on GitHub. Thus, the results of Cohen’s d for designs with repeated measures are now different from those in bruceRold versions (< 0.8.0), which indeed used an inappropriate method to compute pooled SD in such designs.
• Added arguments (1) ss.type for MANOVA()to specify either Type-II or Type-III Sum of Square; (2)aov.include for MANOVA() andmodel.type for EMMEANS(), for details, see the help pages.
• Added warning messages for wrong usage of these functions. If observations are not uniquely identified in user-defined long-format data, the function takes averages across those multiple observations for each case (thanks to Xiangying Zou for reporting an infrequent bug related to this issue).
• Improved Alpha(): Now it directly usespsych::alpha() and psych::omega(), rather thanjmv::reliability(), to perform reliability analysis. The format of result output has been changed and improved.
• Improved EFA() (almost completely rewritten): Now it directly uses psych::principal() andpsych::fa(), rather than jmv::efa(), to perform factor analysis (PCA or EFA). The format of result output has been changed and improved. MS Word output has been supported. A wrapper function PCA() has been added:EFA(..., method="pca").
• Improved CFA() and lavaan_summary(): Now CFA() only uses the lavaan::cfa(), rather than jmv:cfa(), to build model, and then useslavaan_summary() to present results. Forlavaan_summary(), many bugs have been fixed, and the format of result table has been changed and improved. Both functions now support saving table to MS Word.
• Package dependencies: Much fewer strong dependencies, for faster and more robust installation. Removed rio andjmv from dependencies. No longer load rio andpsych when library(bruceR).

Three ways to specify the variable list (implemented in the functions such as SUM(), MEAN(),Alpha()):

1. var + items: use the common and unique parts of variable names. (e.g.,var="RSES", items=1:10, rev=c(3, 5, 8, 9, 10))

2. vars: directly define the variable list. (e.g.,vars=c("E1", "E2", "E3", "E4", "E5"), rev=c("E1", "E2"))

3. varrange: use the start and end positions of the variable list. (e.g.,varrange="E1:E5", rev=c("E1", "E2"))