item.cfa() for conducting confirmatory factor analysis using the R package lavaan.write.result() can also write results based on the return object of the item.cfa() function.exclude of the function freq() can also be set to FALSE.multilevel.cor() to make it consistent with the output of the function item.cfa().na.omit in the functions multilevel.cor() to missing to make it consistent with the arguments of the function item.cfa().estimator in the functions multilevel.cor() to ML, so that full information maximum likelihood method is used for dealing with missing data.multilevel.cor(), function did not use Huber-White robust standard errors, but conventional standard errors when specifying estimator = "MLR".multilevel.r2() for computing R-squared measures for multilevel and linear mixed effects models.write.xlsx() for writing Excel files (.xlsx).write.result() for writing results of a misty object into an Excel file.multilevel.descript().round to the function freq() for rounding numeric variables.na.test() function when running into numerical problems.sig in the functions cor.matrix() and multilevel.cor() to FALSE.collin.diag() function.print.misty.object(), function did not print the result object of the the function crosstab() correctly when requesting percentages.multilevel.cor() for computing the within-group and between-group correlation matrix using the lavaan package.na.test() for performing Little’s missing completely at random (MCAR) test.indirect() for computing confidence intervals for the indirect effect using the asymptotic normal method, the distribution of the product method, and the Monte Carlo method.multilevel.indirect() for computing confidence intervals for the indirect effect in a 1-1-1 multilevel mediation model using the Monte Carlo method.cor.matrix() highlights statistically significant correlation coefficients in boldface.cor.matrix() shows the results in a table when computing a correlation coefficient for two variables.stat) and degrees of freedom (df) to the argument print in the function cor.matrix().continuity for continuity correction to the function cor.matrix() for testing Spearman’s rank-order correlation coefficient and Kendall’s Tau-b correlation.cor.matrix() when computing Spearman’s rank-order correlation coefficient or Kendall’s Tau-b correlation.group in the functions center(), group.scores(), multilevel.descript(), multilevel.icc(), and rwg.lindell() to cluster.group.scores() to cluster.scores().cor.matrix(), function did not print sample sizes when specifying a grouping variable and using listwise deletion.write.mplus() writes a Mplus input template with variables names specified in the DATA command along with the tab-delimited data file by default.Removed the argument print() in the write.mplus() function.
Changed the default setting of the argument weighted in the test.welch() function into FALSE following the recommendation by Delacre et al. (2021).
Fixed a bug in the function cohens.d(), function printed warning messages of the pt() function.
Fixed a bug in the function cohens.d(), function could not deal with more than one variable in a one-sample design.
New function test.t() for performing one-sample, two-sample, and paired-sample t-tests including Cohen’s d effect size measure.
New function test.welch() for performing Welch’s t-test including Cohen’s d effect size measure and Welch’s ANOVA including \(\eta^2\) and \(\omega^2\) effect size measures.
Added standard error of the mean to the argument print in the function descript().
Added the arguments format, label, labels, missing to the function read.sav() to remove variable formats, variable labels, value labels, value labels for user-defined missings, and widths from attributes of the variable.
Function item.reverse() can also be applied to to items with non-integer values.
Return object of the function cor.matrix() when specifying a grouping variable comprises the combined results of both groups in the matrices.
Function read.mplus() can also deal with consecutive variables (e.g., x1-x5).
Added group and split arguments to the function cohens.d().
Added Cohen’s d effect size measure to the output of the test.z function.
Function cohens.d() computes various kinds of Cohen’s d, Hedges’ d, and Glass’s \(\Delta\) including confidence intervals, e.g., weighted and unweighted pooled standard deviation in a two-sample design, with and without controlling for the correlation between the two sets of measurement in a paired-sample design, or with and without the small-sample correction factor.
Renamed following functions: alpha.coef() to item.alpha(), cont.coef() to cor.cont(), cramers.v() to cor.cramer(), levenes.test() to test.levene(), mgsub() to chr.gsub(), omega.coef() to item.omega(), reverse.item() to item.reverse(), phi.coef() to cor.phi(), poly.cor() to cor.poly(), scores() to item.scores(), stromit() to chr.omit(), trim() to chr.trim(), z.test() to test.z(),
Changed the argument use in the cor.matrix() function into na.omit.
Changed the default setting of the argument method in the functions multilevel.descript() and multilevel.icc() to "lme4"; if the lme4 package is not installed, "aov" will be used.
Changed the output of the functions ci.mean.diff() and ci.mean.prop() when computing confidence intervals in two-sample designs, i.e., results are divided in two rows according to the grouping variable.
Changed the output of the functions ci.mean.diff() and ci.mean.prop() when computing confidence intervals in paired-sample designs, i.e., output reports the number of missing data pairs (nNA), instead of number of missing values for each variable separately (nNA1 and nNA2).
Changed the output of the functions descript() when specifying the argument levenes.test(), i.e., duplicated labels in the column group or variable are not shown.
Changed the functions cohens.d() into a generic function with the methods cohens.d.default() and cohens.d.formula().
Added arguments hypo and descript to the functions test.levene() and test.z().
Added titles to the output of the freq, descript, and crosstab function.
Changed the argument as.na in the as.na() function into na.
Fixed a bug in the function center() which caused an error message in case of groups with only one observation when trying to apply group mean centering.
Fixed a bug in the function center() which caused an error message when trying to apply grand mean centering of a Level 1 predictor.
Fixed a bug in the function cohens.d(), an error message was printed in the between subject design whenever specifying a grouping variable with missing values.
Fixed a bug in the function cor.matrix(), which caused an error when using listwise deletion for missing data while specifying a grouping variable.
Fixed a bug in the function descript(), which caused an error message when selection only one or two argument statistical measures using the argument print.
Fixed a bug in the function freq(), where the argument split was broken.
Fixed a bug in the function test.zz(), where the alternative hypothesis was displayed wrong when specifying alternative = "greater" or alternative = "less".
New function collin.diag() for collinearity diagnostics including tolerance, (generalized) standard error inflation factor, (generalized) variance inflation factor, eigenvalues, conditional indices, and variance proportions for linear, generalized linear, and mixed-effects models.
New function std.coef() for computing standardized coefficients (StdX, StdY, and StdYX) for linear models estimated by using the lm() function.
New function mgsub() for multiple pattern matching and replacements, i.e., gsub() function for matching and replacing a vector of character strings.
New functions df.duplicated() and df.unique() extracting duplicated or unique rows of a matrix or data frame.
read.xlsx(), default setting of the argument progress was wrong.print.misty.object().z.test() for performing one sample, two sample, and paired sample z-test.omega.coef() does not access internal slots of a fitted lavaan object anymore (requested by Yves Rosseel).Added descriptive statistics and confidence intervals to the function levenes.test().
Changed the output of the functions size.mean(), size.prop(), and size.cor() to include greek letters.
Changed the argument theta in the size.mean() function into delta.
New functions ci.mean(), ci.mean.diff(), ci.median(), ci.prop(), ci.prop.diff(), ci.sd(), ci.var() for computing confidence interval for the arithmetic mean, the difference in arithmetic means, the median, the proportion, the difference in proportions, the variance, and the standard deviation.
New function levenes.test() for conducting Levene’s test for homogeneity of variance.
New function omega.coef() for computing coefficient omega (McDonald, 1978), hierarchical omega (Kelley & Pornprasertmanit, 2016), and categorical omega (Green & Yang, 2009).
New function read.xlsx() for reading Excel files (.xlsx).
Added ordinal coefficient alpha to the function coef.alpha().
Added Kendall-Stuart’s Tau-c correlation coefficient to the function cor.matrix().
Function as.na() can also replace user-specified values with missing values in lists.
Changed the argument use in the alpha.coef() function into a logical argument na.omit.
Changed the argument pval.digits in the cor.matrix() function into p.digits.
Merged print functions print.cont.coef(), print.cramers.v(), print.na.auxiliary(), print.na.coverage(), print.phi.coef(), and print.poly.cor() into print.square.matrix()
Fixed a bug in several function, where is.vector() function was used to test if an object is a vector. Instead is.atomic() function is used to test if an object is a vector.
Fixed a bug in the function as.na(), function converted strings in data frames to factors.
trim() for removing whitespace from start and/or end of a string. Note that this function is equivalent to the function trimws() in the base package. However, the trimws() function fails to remove whitespace in some instances.Fixed a bug in the function cohens.d(), function returned NA for Cohen’s d in within-subject design in the presence of missing values
Fixed a bug in the function alpha.coef(), function did not provide any item statistics irrespective of the argument print
Fixed a bug in the function as.na(), function always generated a warning message irrespective of the argument as.na