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misty (version 0.6.7)

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., 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

3,370

Version

0.6.7

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

September 18th, 2024

Functions in misty (0.6.7)

Between-Subject Analysis of Variance

Replace User-Specified Values With Missing Values or Missing Values With User-Specified Values

Run Blimp Models

Create, Run, and Print Blimp Models

Print Blimp Output

Blimp Input Updating

Blimp Summary Measures, Convergence and Efficiency Diagnostics

Repeated Measures Analysis of Variance (Within-Subject ANOVA)

Blimp Trace Plots and Posterior Distribution Plots

Centering Predictor Variables in Single-Level and Multilevel Data

Confidence Interval for the Arithmetic Mean and Median

Multiple Pattern Matching

Multiple Pattern Matching And Replacements

Residual Diagnostics

Colored and Styled Terminal Output Text

Statistical Measures for Leverage, Distance, and Influence

Confidence Interval for the Difference in Arithmetic Means

Collinearity Diagnostics

Trim Whitespace from String

Coding Categorical Variables

Clear Console in RStudio

Confidence Interval for Proportions

Correlation Matrix

Cross Tabulation

Within-Subject Confidence Interval for the Arithmetic Mean

Confidence Interval for the Variance and Standard Deviation

Confidence Interval for the Difference in Proportions

Dominance Analysis

Data Frame Sorting

Rename Columns in a Matrix or Variables in a Data Frame

Descriptive Statistics

Combine Data Frames by Rows, Filling in Missing Columns

Extract Duplicated or Unique Rows

Merge Multiple Data Frames

Subsetting Data Frames

dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix

Move Variable(s) in a Data Frame

Coefficient Omega, Hierarchical Omega, and Categorical Omega

Reverse Code Scale Item

Confidence Intervals for the Indirect Effect

Confirmatory Factor Analysis

Coefficient Alpha and Item Statistics

Effect Sizes for Categorical Variables

Frequency Table

Create Lagged Variables

Between-Group and Longitudinal Measurement Invariance Evaluation

Load and Attach Multiple Packages

Mplus Model Specification for Latent Class Analysis

Mplus Summary Measures, Convergence and Efficiency Diagnostics

Run Mplus Models

Plot Mplus GH5 File

Mplus Input Updating

Multilevel Confirmatory Factor Analysis

Create, Run, and Print Mplus Models

Within-Group and Between-Group Correlation Matrix

Print Mplus Output

R-Squared Measures for Multilevel and Linear Mixed Effects Models

Auxiliary Variables Analysis

multilevel.indirect

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

Simultaneous and Level-Specific Multilevel Model Fit Information

multilevel.omega

Multilevel Composite Reliability

multilevel.invar

Cross-Level Measurement Invariance Evaluation

Variance-Covariance Coverage

multilevel.r2.manual

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

Intraclass Correlation Coefficient, ICC(1) and ICC(2)

multilevel.descript

Multilevel Descriptive Statistics for Two-Level and Three-Level Data

print.misty.object

Print misty.object object

Missing Completely at Random (MCAR) Test

Missing Data Indicator Matrix

Read Stata DTA File

Read Mplus Data File and Variable Names

Missing Data Pattern

Read Excel File

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

Proportion of Missing Data for Each Case

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

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

Set Working Directory to the Source File Location

Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors

Recode Variable

Save Copy of the Current Script in RStudio

Open, Close and Save R Script in RStudio

Restart R Session

Sample Size Determination for Testing Pearson's Correlation Coefficient

Open new R Script, R Markdown script, or SQL Script in RStudio

Sample Size Determination for Testing Proportions

Levene's Test for Homogeneity of Variance

Skewness and Kurtosis

Write Stata DTA File

Standardized Coefficients

Sample Size Determination for Testing Arithmetic Means

Write Mplus Data File

Write SPSS File

Write Excel File

Write Results of a misty Object into an Excel file