Package: misty 0.8.2

Takuya Yanagida

misty: Miscellaneous Functions 'T. Yanagida'

Miscellaneous functions for (1) data handling (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and residual diagnostics, dominance analysis, between- and within-subject analysis of variance, latent class analysis, t-test, z-test, sample size determination), and (7) functions to interact with 'Blimp' and 'Mplus'.

Authors:Takuya Yanagida [aut, cre]

misty_0.8.2.tar.gz
misty_0.8.2.tar.gz(r-4.7-any)misty_0.8.2.tar.gz(r-4.6-any)
misty_0.8.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
misty/json (API)
NEWS

# Install 'misty' in R:
install.packages('misty', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.23 score 1 stars 1 packages 225 scripts 3.1k downloads 135 exports 55 dependencies

Last updated from:91af5372df. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK290
source / vignettesOK264
linux-release-x86_64OK331
wasm-releaseOK143

Exports:aov.baov.was.nablimpblimp.bayesblimp.plotblimp.printblimp.runblimp.updateboot.bscentercfa.satcorcheck.collincheck.outliercheck.residchr.colorchr.grepchr.greplchr.gsubchr.omitchr.trimchr.truncci.corci.meanci.mean.diffci.mean.wci.medianci.propci.prop.diffci.sdci.varclearcluster.rwgcluster.scorescodingcoeff.robustcoeff.stdcohens.dcor.matrixcrosstabdescriptdf.checkdf.duplicateddf.headdf.longdf.mergedf.movedf.rbinddf.renamedf.sortdf.subsetdf.taildf.uniquedf.widedifftest.chibarsqdominancedominance.manualeffsizefreqgrowth.satcorindirectitem.alphaitem.cfaitem.dfiitem.invaritem.noninvaritem.omegaitem.reverseitem.scoreskurtosislaggedlavaan.satcorlibrariesmodcompmplusmplus.bayesmplus.lcamplus.lca.summamplus.plotmplus.printmplus.runmplus.updatemultilevel.cfamultilevel.cormultilevel.descriptmultilevel.fitmultilevel.iccmultilevel.indirectmultilevel.invarmultilevel.omegamultilevel.r2multilevel.r2.manualna.asna.auxiliaryna.coveragena.descriptna.indicatorna.patternna.propna.satcorna.testread.dataread.dtaread.mplusread.savread.xlsxrecrestartrobust.lmerscript.closescript.copyscript.newscript.openscript.savesem.satcorsetsourcesim.lavaansize.corsize.meansize.propskewnesssummatest.levenetest.ttest.welchtest.zuniquniq.nwrite.datawrite.data1write.dtawrite.mpluswrite.resultwrite.savwrite.xlsx

Dependencies:bitbit64bootclicliprcpp11crayondata.tablefarverforcatsggplot2gluegtablehavenhmsisobandlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixminqamnormtnlmenloptrnumDerivpbivnormpillarpkgconfigprettyunitsprogressquadprogR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangrstudioapiS7scalestibbletidyselecttzdbutf8vctrsviridisLitevroomwithr

Readme and manuals

Help Manual

Help pageTopics
Between-Subject Analysis of Varianceaov.b
Repeated Measures Analysis of Variance (Within-Subject ANOVA)aov.w
Create, Run, and Print Blimp Modelsblimp
Blimp Summary Measures, Convergence and Efficiency Diagnosticsblimp.bayes
Blimp Trace Plots and Posterior Distribution Plotsblimp.plot
Print Blimp Outputblimp.print
Run Blimp Modelsblimp.run
Blimp Input Updatingblimp.update
Bollen-Stine Bootstrapping with Incomplete Databoot.bs
Centering Predictor Variables in Single-Level and Multilevel Datacenter
Collinearity Diagnosticscheck.collin
Statistical Measures for Leverage, Distance, and Influencecheck.outlier
Residual Diagnostics for Linear, Multilevel and Mixed-Effects Modelscheck.resid
Colored and Styled Terminal Output Textchr.color
Multiple Pattern Matchingchr.grep chr.grepl
Multiple Pattern Matching And Replacementschr.gsub
Omit Stringschr.omit
Trim Whitespace from Stringchr.trim
Truncate a Character Vector to a Maximum Widthchr.trunc
(Bootstrap) Confidence Intervals for Correlation Coefficientsci.cor
(Bootstrap) Confidence Intervals for Arithmetic Means and Mediansci.mean ci.median
Confidence Interval for the Difference in Arithmetic Meansci.mean.diff ci.mean.diff.default ci.mean.diff.formula
Within-Subject Confidence Interval for the Arithmetic Meanci.mean.w
(Bootstrap) Confidence Intervals for Proportionsci.prop
Confidence Interval for the Difference in Proportionsci.prop.diff ci.prop.diff.default ci.prop.diff.formula
(Bootstrap) Confidence Intervals for Variances and Standard Deviationsci.sd ci.var
Clear Console in RStudioclear
Lindell, Brandt and Whitney (1999) r*wg(j) Within-Group Agreement Index for Multi-Item Scalescluster.rwg
Cluster Scorescluster.scores
Coding Categorical Variablescoding
Heteroscedasticity-Consistent and Cluster-Robust Standard Errorscoeff.robust
Standardized Coefficients for Linear, Multilevel and Mixed-Effects Modelscoeff.std
Cohen's dcohens.d cohens.d.default cohens.d.formula
Correlation Matrixcor.matrix
Cross Tabulationcrosstab
Descriptive Statisticsdescript
Data Checkdf.check
Extract Duplicated or Unique Rowsdf.duplicated df.unique
Print the First and Last Rows of a Data Framedf.head df.tail
Converting Data Frames Between 'Wide' and 'Long' Formatdf.long df.wide
Merge Multiple Data Framesdf.merge
Move Variable(s) in a Data Framedf.move
Combine Data Frames by Rows, Filling in Missing Columnsdf.rbind
Rename Columns in a Matrix or Variables in a Data Framedf.rename
Data Frame Sortingdf.sort
Subsetting Data Framesdf.subset
Chi-Bar-Square Difference Testdifftest.chibarsq
Dominance Analysisdominance
Dominance Analysis, Manually Inputting a Correlation Matrixdominance.manual
Effect Sizes for Categorical Variableseffsize
Frequency Tablefreq
Confidence Intervals for the Indirect Effectindirect
Coefficient Alpha, Hierarchical Alpha, and Ordinal Alphaitem.alpha
Confirmatory Factor Analysisitem.cfa
Dynamic Fit Index Cutoffsitem.dfi
Between-Group and Longitudinal Measurement Invariance Evaluationitem.invar
Effect Size Measure of Measurement Non-Invariance, dMACSitem.noninvar
Coefficient Omega, Hierarchical Omega, and Categorical Omegaitem.omega
Reverse Code Scale Itemitem.reverse
Scale Scoresitem.scores
Create Lagged Variableslagged
Load and Attach Multiple Packageslibraries
Model Comparisonmodcomp
Create, Run, and Print Mplus Modelsmplus
Mplus Summary Measures, Convergence and Efficiency Diagnosticsmplus.bayes
Mplus Model Specification and Estimation for Latent Class Analysismplus.lca
Summary Result Tables and Grouped Bar Charts for Latent Class Analysis in Mplusmplus.lca.summa
Plot Mplus GH5 Filemplus.plot
Print Mplus Outputmplus.print
Run Mplus Modelsmplus.run
Mplus Input Updatingmplus.update
Multilevel Confirmatory Factor Analysismultilevel.cfa
Within-Group and Between-Group Correlation Matrixmultilevel.cor
Multilevel Descriptive Statistics for Two-Level and Three-Level Datamultilevel.descript
Simultaneous and Level-Specific Multilevel Model Fit Informationmultilevel.fit
Intraclass Correlation Coefficient, ICC(1) and ICC(2)multilevel.icc
Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Modelmultilevel.indirect
Cross-Level Measurement Invariance Evaluationmultilevel.invar
Multilevel Composite Reliabilitymultilevel.omega
R-Squared Measures for Multilevel and Linear Mixed Effects Modelsmultilevel.r2
R-Squared Measures for Multilevel and Linear Mixed Effects Models by Rights and Sterba (2019), Manually Inputting Parameter Estimatesmultilevel.r2.manual
Replace Missing Values With User-Specified Values or User-Specified Values With Missing Valuesas.na na.as
Auxiliary Variables Analysisna.auxiliary
Variance-Covariance Coveragena.coverage
Descriptive Statistics for Missing Data in Single-Level, Two-Level and Three-Level Datana.descript
Missing Data Indicator Matrixna.indicator
Missing Data Patternna.pattern
Proportion of Missing Data for Each Casena.prop
Fit a Saturated Correlates Modelcfa.satcor growth.satcor lavaan.satcor na.satcor sem.satcor
Missing Completely at Random (MCAR) Testna.test
Plots misty.object objectplot.misty.object
Print misty.object objectprint.misty.object
Read Data File in Table Format, SPSS, Excel, or Stata DTA Fileread.data
Read Stata DTA Fileread.dta
Read Mplus Data File and Variable Namesread.mplus
Read SPSS Fileread.sav
Read Excel Fileread.xlsx
Recode Variablerec
Restart R Sessionrestart
Robust Estimation of Multilevel and Linear Mixed-Effects Modelsrobust.lmer
Save Copy of the Current Script in RStudioscript.copy
Open new R Script, R Markdown script, or SQL Script in RStudioscript.new
Open, Close and Save R Script in RStudioscript.close script.open script.save
Set Working Directory to the Source File Locationsetsource
Generates Simulated Data from a lavaan Model Syntaxsim.lavaan
Sample Size Determinationsize.cor size.mean size.prop
Univariate and Multivariate Skewness and Kurtosiskurtosis skewness
Print Summary Outputsumma
Levene's Test for Homogeneity of Variancetest.levene
t-Testtest.t test.t.default test.t.formula
Welch's Testtest.welch
z-Testtest.z test.z.default test.z.formula
Extract Unique Elements and Count Number of Unique Elementsuniq uniq.n
Write Data File in Table Format, SPSS, Excel, or Stata DTA Filewrite.data write.data1
Write Stata DTA Filewrite.dta
Write Mplus Data Filewrite.mplus
Write Results of a misty Object into an Excel filewrite.result
Write SPSS Filewrite.sav
Write Excel Filewrite.xlsx