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misty (version 0.7.0)

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

2,946

Version

0.7.0

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

February 2nd, 2025

Functions in misty (0.7.0)

blimp.print

Print Blimp Output
aov.b

Between-Subject Analysis of Variance
center

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

Blimp Input Updating
as.na

Replace User-Specified Values With Missing Values or Missing Values With User-Specified Values
blimp.bayes

Blimp Summary Measures, Convergence and Efficiency Diagnostics
blimp

Create, Run, and Print Blimp Models
aov.w

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

Run Blimp Models
blimp.plot

Blimp Trace Plots and Posterior Distribution Plots
chr.omit

Omit Strings
check.resid

Residual Diagnostics
chr.color

Colored and Styled Terminal Output Text
chr.trunc

Truncate a Character Vector to a Maximum Width
chr.grep

Multiple Pattern Matching
check.outlier

Statistical Measures for Leverage, Distance, and Influence
check.collin

Collinearity Diagnostics
chr.gsub

Multiple Pattern Matching And Replacements
chr.trim

Trim Whitespace from String
ci.cor

(Bootstrap) Confidence Intervals for Correlation Coefficients
ci.prop.diff

Confidence Interval for the Difference in Proportions
ci.mean

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

(Bootstrap) Confidence Intervals for Proportions
coding

Coding Categorical Variables
cluster.scores

Cluster Scores
cohens.d

Cohen's d
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
ci.var

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

Within-Subject Confidence Interval for the Arithmetic Mean
clear

Clear Console in RStudio
df.rbind

Combine Data Frames by Rows, Filling in Missing Columns
crosstab

Cross Tabulation
descript

Descriptive Statistics
df.head

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

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

Move Variable(s) in a Data Frame
cor.matrix

Correlation Matrix
df.check

Data Check
df.merge

Merge Multiple Data Frames
df.duplicated

Extract Duplicated or Unique Rows
effsize

Effect Sizes for Categorical Variables
dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix
indirect

Confidence Intervals for the Indirect Effect
dominance

Dominance Analysis
item.alpha

Coefficient Alpha and Item Statistics
df.sort

Data Frame Sorting
freq

Frequency Table
df.subset

Subsetting Data Frames
item.cfa

Confirmatory Factor Analysis
item.invar

Between-Group and Longitudinal Measurement Invariance Evaluation
item.reverse

Reverse Code Scale Item
item.scores

Scale Scores
mplus.lca

Mplus Model Specification for Latent Class Analysis
mplus.bayes

Mplus Summary Measures, Convergence and Efficiency Diagnostics
mplus.plot

Plot Mplus GH5 File
mplus

Create, Run, and Print Mplus Models
libraries

Load and Attach Multiple Packages
item.omega

Coefficient Omega, Hierarchical Omega, and Categorical Omega
lagged

Create Lagged Variables
mplus.print

Print Mplus Output
multilevel.invar

Cross-Level Measurement Invariance Evaluation
mplus.run

Run Mplus Models
multilevel.indirect

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

Multilevel Composite Reliability
multilevel.descript

Multilevel Descriptive Statistics for Two-Level and Three-Level Data
mplus.update

Mplus Input Updating
multilevel.fit

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

Multilevel Confirmatory Factor Analysis
multilevel.cor

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

Intraclass Correlation Coefficient, ICC(1) and ICC(2)
na.indicator

Missing Data Indicator Matrix
na.satcor

Fit a Saturated Correlates Model
multilevel.r2.manual

R-Squared Measures for Multilevel and Linear Mixed Effects Models by Rights and Sterba (2019), Manually Inputting Parameter Estimates
multilevel.r2

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

Missing Data Pattern
na.descript

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

Auxiliary Variables Analysis
na.prop

Proportion of Missing Data for Each Case
na.coverage

Variance-Covariance Coverage
na.test

Missing Completely at Random (MCAR) Test
print.misty.object

Print misty.object object
read.data

Read Data File in Table format, SPSS, Excel, or Stata DTA File
read.sav

Read SPSS File
robust.coef

Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors
result.lca

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

Read Stata DTA File
read.xlsx

Read Excel File
read.mplus

Read Mplus Data File and Variable Names
rec

Recode Variable
restart

Restart R Session
rwg.lindell

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

Open new R Script, R Markdown script, or SQL Script in RStudio
size.mean

Sample Size Determination
test.levene

Levene's Test for Homogeneity of Variance
script.copy

Save Copy of the Current Script in RStudio
setsource

Set Working Directory to the Source File Location
test.t

t-Test
script.open

Open, Close and Save R Script in RStudio
skewness

Univariate and Multivariate Skewness and Kurtosis
std.coef

Standardized Coefficients
write.xlsx

Write Excel File
write.result

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

Write Stata DTA File
write.sav

Write SPSS File
write.mplus

Write Mplus Data File
test.welch

Welch's Test
test.z

z-Test