Learn R Programming

misty (version 0.7.4)

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'.

Copy Link

Version

Install

install.packages('misty')

Monthly Downloads

2,322

Version

0.7.4

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

August 18th, 2025

Functions in misty (0.7.4)

aov.w

Repeated Measures Analysis of Variance (Within-Subject ANOVA)
blimp.plot

Blimp Trace Plots and Posterior Distribution Plots
aov.b

Between-Subject Analysis of Variance
blimp.run

Run Blimp Models
blimp.print

Print Blimp Output
center

Centering Predictor Variables in Single-Level and Multilevel Data
blimp

Create, Run, and Print Blimp Models
blimp.bayes

Blimp Summary Measures, Convergence and Efficiency Diagnostics
check.collin

Collinearity Diagnostics
blimp.update

Blimp Input Updating
chr.omit

Omit Strings
check.outlier

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

Multiple Pattern Matching And Replacements
chr.trunc

Truncate a Character Vector to a Maximum Width
ci.mean

(Bootstrap) Confidence Intervals for Arithmetic Means and Medians
chr.color

Colored and Styled Terminal Output Text
ci.cor

(Bootstrap) Confidence Intervals for Correlation Coefficients
check.resid

Residual Diagnostics
chr.grep

Multiple Pattern Matching
chr.trim

Trim Whitespace from String
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
cluster.scores

Cluster Scores
cluster.rwg

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

Clear Console in RStudio
ci.prop

(Bootstrap) Confidence Intervals for Proportions
coeff.robust

Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors
ci.prop.diff

Confidence Interval for the Difference in Proportions
coding

Coding Categorical Variables
ci.mean.w

Within-Subject Confidence Interval for the Arithmetic Mean
ci.var

(Bootstrap) Confidence Intervals for Variances and Standard Deviations
cor.matrix

Correlation Matrix
cohens.d

Cohen's d
df.check

Data Check
df.long

Converting Data Frames Between 'Wide' and 'Long' Format
df.duplicated

Extract Duplicated or Unique Rows
df.head

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

Merge Multiple Data Frames
descript

Descriptive Statistics
coeff.std

Standardized Coefficients for Linear, Multilevel and Mixed-Effects Models
crosstab

Cross Tabulation
freq

Frequency Table
indirect

Confidence Intervals for the Indirect Effect
df.sort

Data Frame Sorting
dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix
df.subset

Subsetting Data Frames
effsize

Effect Sizes for Categorical Variables
df.move

Move Variable(s) in a Data Frame
df.rename

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

Combine Data Frames by Rows, Filling in Missing Columns
dominance

Dominance Analysis
item.reverse

Reverse Code Scale Item
mplus.bayes

Mplus Summary Measures, Convergence and Efficiency Diagnostics
libraries

Load and Attach Multiple Packages
item.omega

Coefficient Omega, Hierarchical Omega, and Categorical Omega
item.alpha

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

Confirmatory Factor Analysis
mplus

Create, Run, and Print Mplus Models
item.scores

Scale Scores
lagged

Create Lagged Variables
item.invar

Between-Group and Longitudinal Measurement Invariance Evaluation
multilevel.icc

Intraclass Correlation Coefficient, ICC(1) and ICC(2)
mplus.run

Run Mplus Models
mplus.print

Print Mplus Output
multilevel.cor

Within-Group and Between-Group Correlation Matrix
multilevel.descript

Multilevel Descriptive Statistics for Two-Level and Three-Level Data
multilevel.fit

Simultaneous and Level-Specific Multilevel Model Fit Information
mplus.plot

Plot Mplus GH5 File
mplus.lca

Mplus Model Specification for Latent Class Analysis
mplus.update

Mplus Input Updating
multilevel.cfa

Multilevel Confirmatory Factor Analysis
multilevel.omega

Multilevel Composite Reliability
multilevel.r2

R-Squared Measures for Multilevel and Linear Mixed Effects Models
na.auxiliary

Auxiliary Variables Analysis
multilevel.invar

Cross-Level Measurement Invariance Evaluation
na.coverage

Variance-Covariance Coverage
multilevel.indirect

Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Model
na.descript

Descriptive Statistics for Missing Data in Single-Level, Two-Level and Three-Level Data
na.as

Replace Missing Values With User-Specified Values or User-Specified Values With Missing Values
na.indicator

Missing Data Indicator Matrix
multilevel.r2.manual

R-Squared Measures for Multilevel and Linear Mixed Effects Models by Rights and Sterba (2019), Manually Inputting Parameter Estimates
na.satcor

Fit a Saturated Correlates Model
read.mplus

Read Mplus Data File and Variable Names
na.pattern

Missing Data Pattern
plot.misty.object

Plots misty.object object
read.sav

Read SPSS File
na.prop

Proportion of Missing Data for Each Case
read.data

Read Data File in Table Format, SPSS, Excel, or Stata DTA File
na.test

Missing Completely at Random (MCAR) Test
read.dta

Read Stata DTA File
print.misty.object

Print misty.object object
skewness

Univariate and Multivariate Skewness and Kurtosis
restart

Restart R Session
script.copy

Save Copy of the Current Script in RStudio
read.xlsx

Read Excel File
rec

Recode Variable
setsource

Set Working Directory to the Source File Location
script.open

Open, Close and Save R Script in RStudio
size.mean

Sample Size Determination
script.new

Open new R Script, R Markdown script, or SQL Script in RStudio
result.lca

Summary Result Table and Grouped Bar Charts for Latent Class Analysis Estimated in Mplus
write.mplus

Write Mplus Data File
test.levene

Levene's Test for Homogeneity of Variance
write.result

Write Results of a misty Object into an Excel file
uniq

Extract Unique Elements and Count Number of Unique Elements
test.z

z-Test
summa

Print Summary Output
write.data

Write Data File in Table Format, SPSS, Excel, or Stata DTA File
test.welch

Welch's Test
write.dta

Write Stata DTA File
test.t

t-Test
write.xlsx

Write Excel File
write.sav

Write SPSS File