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misty (version 0.8.0)

Miscellaneous Functions 'T. Yanagida'

Description

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'.

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Version

Install

install.packages('misty')

Monthly Downloads

2,248

Version

0.8.0

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

January 18th, 2026

Functions in misty (0.8.0)

center

Centering Predictor Variables in Single-Level and Multilevel Data
blimp.plot

Blimp Trace Plots and Posterior Distribution Plots
aov.b

Between-Subject Analysis of Variance
aov.w

Repeated Measures Analysis of Variance (Within-Subject ANOVA)
check.collin

Collinearity Diagnostics
blimp.print

Print Blimp Output
blimp.run

Run Blimp Models
blimp.update

Blimp Input Updating
blimp.bayes

Blimp Summary Measures, Convergence and Efficiency Diagnostics
blimp

Create, Run, and Print Blimp Models
chr.trim

Trim Whitespace from String
check.outlier

Statistical Measures for Leverage, Distance, and Influence
chr.gsub

Multiple Pattern Matching And Replacements
chr.color

Colored and Styled Terminal Output Text
chr.grep

Multiple Pattern Matching
check.resid

Residual Diagnostics for Linear, Multilevel and Mixed-Effects Models
chr.trunc

Truncate a Character Vector to a Maximum Width
chr.omit

Omit Strings
ci.mean

(Bootstrap) Confidence Intervals for Arithmetic Means and Medians
ci.cor

(Bootstrap) Confidence Intervals for Correlation Coefficients
clear

Clear Console in RStudio
coding

Coding Categorical Variables
ci.mean.w

Within-Subject Confidence Interval for the Arithmetic Mean
ci.prop.diff

Confidence Interval for the Difference in Proportions
ci.prop

(Bootstrap) Confidence Intervals for Proportions
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
coeff.robust

Heteroscedasticity-Consistent and Cluster-Robust Standard Errors
ci.var

(Bootstrap) Confidence Intervals for Variances and Standard Deviations
cluster.scores

Cluster Scores
cluster.rwg

Lindell, Brandt and Whitney (1999) r*wg(j) Within-Group Agreement Index for Multi-Item Scales
df.long

Converting Data Frames Between 'Wide' and 'Long' Format
descript

Descriptive Statistics
df.check

Data Check
coeff.std

Standardized Coefficients for Linear, Multilevel and Mixed-Effects Models
df.merge

Merge Multiple Data Frames
cor.matrix

Correlation Matrix
crosstab

Cross Tabulation
cohens.d

Cohen's d
df.head

Print the First and Last Rows of a Data Frame
df.duplicated

Extract Duplicated or Unique Rows
dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix
df.rename

Rename Columns in a Matrix or Variables in a Data Frame
df.subset

Subsetting Data Frames
effsize

Effect Sizes for Categorical Variables
freq

Frequency Table
df.rbind

Combine Data Frames by Rows, Filling in Missing Columns
indirect

Confidence Intervals for the Indirect Effect
dominance

Dominance Analysis
df.sort

Data Frame Sorting
df.move

Move Variable(s) in a Data Frame
mplus

Create, Run, and Print Mplus Models
item.invar

Between-Group and Longitudinal Measurement Invariance Evaluation
item.reverse

Reverse Code Scale Item
item.cfa

Confirmatory Factor Analysis
mplus.bayes

Mplus Summary Measures, Convergence and Efficiency Diagnostics
libraries

Load and Attach Multiple Packages
item.scores

Scale Scores
item.alpha

Coefficient Alpha, Hierarchical Alpha, and Ordinal Alpha
item.omega

Coefficient Omega, Hierarchical Omega, and Categorical Omega
lagged

Create Lagged Variables