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misty (version 0.7.1)

Miscellaneous Functions 'T. Yanagida'

Description

Miscellaneous functions for (1) data management (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

3,811

Version

0.7.1

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

March 10th, 2025

Functions in misty (0.7.1)

blimp.update

Blimp Input Updating
blimp.bayes

Blimp Summary Measures, Convergence and Efficiency Diagnostics
blimp.plot

Blimp Trace Plots and Posterior Distribution Plots
blimp

Create, Run, and Print Blimp Models
blimp.run

Run Blimp Models
blimp.print

Print Blimp Output
center

Centering Predictor Variables in Single-Level and Multilevel Data
as.na

Replace User-Specified Values With Missing Values or Missing Values With User-Specified Values
aov.b

Between-Subject Analysis of Variance
aov.w

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

Collinearity Diagnostics
chr.trim

Trim Whitespace from String
chr.omit

Omit Strings
chr.trunc

Truncate a Character Vector to a Maximum Width
chr.grep

Multiple Pattern Matching
check.resid

Residual Diagnostics
chr.gsub

Multiple Pattern Matching And Replacements
chr.color

Colored and Styled Terminal Output Text
ci.cor

(Bootstrap) Confidence Intervals for Correlation Coefficients
check.outlier

Statistical Measures for Leverage, Distance, and Influence
ci.mean

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

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

(Bootstrap) Confidence Intervals for Proportions
cohens.d

Cohen's d
ci.prop.diff

Confidence Interval for the Difference in Proportions
cluster.scores

Cluster Scores
clear

Clear Console in RStudio
coding

Coding Categorical Variables
ci.var

(Bootstrap) Confidence Intervals for Variances and Standard Deviations
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
cor.matrix

Correlation Matrix
crosstab

Cross Tabulation
df.check

Data Check
df.move

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

Merge Multiple Data Frames
df.head

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

Extract Duplicated or Unique Rows
df.rbind

Combine Data Frames by Rows, Filling in Missing Columns
descript

Descriptive Statistics
df.rename

Rename Columns in a Matrix or Variables in a Data Frame
effsize

Effect Sizes for Categorical Variables
indirect

Confidence Intervals for the Indirect Effect
dominance

Dominance Analysis
item.alpha

Coefficient Alpha and Item Statistics
item.cfa

Confirmatory Factor Analysis
freq

Frequency Table
dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix
item.invar

Between-Group and Longitudinal Measurement Invariance Evaluation
df.sort

Data Frame Sorting
df.subset

Subsetting Data Frames
mplus

Create, Run, and Print Mplus Models
mplus.plot

Plot Mplus GH5 File
item.omega

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

Reverse Code Scale Item
mplus.print

Print Mplus Output
libraries

Load and Attach Multiple Packages
lagged

Create Lagged Variables
mplus.lca

Mplus Model Specification for Latent Class Analysis
item.scores

Scale Scores
mplus.bayes

Mplus Summary Measures, Convergence and Efficiency Diagnostics
mplus.update

Mplus Input Updating
multilevel.omega

Multilevel Composite Reliability
multilevel.indirect

Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Model
multilevel.icc

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

Run Mplus Models
multilevel.fit

Simultaneous and Level-Specific Multilevel Model Fit Information
multilevel.invar

Cross-Level Measurement Invariance Evaluation
multilevel.cfa

Multilevel Confirmatory Factor Analysis
multilevel.cor

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

Multilevel Descriptive Statistics for Two-Level and Three-Level Data
na.pattern

Missing Data Pattern
na.satcor

Fit a Saturated Correlates Model
multilevel.r2

R-Squared Measures for Multilevel and Linear Mixed Effects Models
multilevel.r2.manual

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

Missing Completely at Random (MCAR) Test
na.indicator

Missing Data Indicator Matrix
na.prop

Proportion of Missing Data for Each Case
na.coverage

Variance-Covariance Coverage
na.auxiliary

Auxiliary Variables Analysis
na.descript

Descriptive Statistics for Missing Data in Single-Level, Two-Level and Three-Level Data
read.data

Read Data File in Table format, SPSS, Excel, or Stata DTA File
plot.misty.object

Plots misty.object object
rec

Recode Variable
print.misty.object

Print misty.object object
read.mplus

Read Mplus Data File and Variable Names
restart

Restart R Session
read.sav

Read SPSS File
result.lca

Summary Result Table and Grouped Bar Charts for Latent Class Analysis Estimated in Mplus
read.xlsx

Read Excel File
read.dta

Read Stata DTA File
script.open

Open, Close and Save R Script in RStudio
script.new

Open new R Script, R Markdown script, or SQL Script in RStudio
test.levene

Levene's Test for Homogeneity of Variance
robust.coef

Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors
size.mean

Sample Size Determination
setsource

Set Working Directory to the Source File Location
script.copy

Save Copy of the Current Script in RStudio
skewness

Univariate and Multivariate Skewness and Kurtosis
rwg.lindell

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

Standardized Coefficients
write.dta

Write Stata DTA File
test.welch

Welch's Test
test.t

t-Test
write.mplus

Write Mplus Data File
write.xlsx

Write Excel File
test.z

z-Test
write.result

Write Results of a misty Object into an Excel file
write.sav

Write SPSS File