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misty (version 0.5.4)

Miscellaneous Functions 'T. Yanagida'

Description

Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, multilevel R-squared measures, within-group and between-group correlation matrix, various effect size measures), data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and group scores, reading and writing SPSS and Excel files), missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), item analysis (e.g., coefficient alpha and omega, multilevel confirmatory factor analysis, between-group and longitudinal measurement equivalence evaluation, cross-level measurement equivalence evaluation, and multilevel composite reliability), and 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).

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Version

Install

install.packages('misty')

Monthly Downloads

2,637

Version

0.5.4

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

November 14th, 2023

Functions in misty (0.5.4)

as.na

Replace User-Specified Values With Missing Values
check.resid

Residual Diagnostics
aov.b

Between-Subject Analysis of Variance
check.outlier

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

Trim Whitespace from String
center

Centering at the Grand Mean and Centering Within Cluster
chr.gsub

Multiple Pattern Matching And Replacements
chr.omit

Omit Strings
check.collin

Collinearity Diagnostics
aov.w

Repeated Measures Analysis of Variance (Within-Subject ANOVA)
cluster.scores

Cluster Scores
ci.prop

Confidence Interval for Proportions
ci.mean.w

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

Confidence Interval for the Difference in Proportions
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
ci.mean

Confidence Interval for the Arithmetic Mean
cohens.d

Cohen's d
ci.median

Confidence Interval for the Median
ci.sd

Confidence Interval for the Standard Deviation
ci.var

Confidence Interval for the Variance
cor.poly

Polychoric Correlation Matrix
cor.matrix

Correlation Matrix
cor.cont

Pearson's Contingency Coefficient
cor.cramer

Cramer's V
df.merge

Merge Multiple Data Frames
df.rbind

Combine Data Frames by Rows, Filling in Missing Columns
cor.phi

Phi Coefficient
crosstab

Cross Tabulation
df.duplicated

Extract Duplicated or Unique Rows
descript

Descriptive Statistics
freq

Frequency Table
dominance

Dominance Analysis
df.rename

Rename Columns in a Matrix or Variables in a Data Frame
eta.sq

Eta Squared
dummy.c

Dummy Coding
df.sort

Data Frame Sorting
item.alpha

Coefficient Alpha and Item Statistics
dominance.manual

Dominance Analysis, Manually Inputting a Correlation Matrix
indirect

Confidence Intervals for the Indirect Effect
item.cfa

Confirmatory Factor Analysis
item.invar

Between-Group and Longitudinal Measurement Invariance Evaluation
item.reverse

Reverse Code Scale Item
kurtosis

Excess Kurtosis
multilevel.cor

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

Multilevel Confirmatory Factor Analysis
multilevel.descript

Multilevel Descriptive Statistics
item.omega

Coefficient Omega, Hierarchical Omega, and Categorical Omega
mplus.lca

Mplus Model Specification for Latent Class Analysis
item.scores

Compute Scale Scores
libraries

Load and Attach Multiple Packages
multilevel.indirect

Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Model
multilevel.r2.manual

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

Multilevel Composite Reliability
na.as

Replace Missing Values With User-Specified Values
multilevel.invar

Cross-Level Measurement Invariance Evaluation
na.coverage

Variance-Covariance Coverage
na.auxiliary

Auxiliary variables analysis
multilevel.r2

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

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

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

Recode Variable
read.mplus

Read Mplus Data File and Variable Names
na.descript

Descriptive Statistics for Missing Data
read.xlsx

Read Excel File
na.prop

Proportion of Missing Data for Each Case
na.indicator

Missing Data Indicator Matrix
na.pattern

Missing Data Pattern
na.test

Little's Missing Completely at Random (MCAR) Test
read.sav

Read SPSS File
print.misty.object

Print misty.object object
result.lca

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

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

Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors
restart

Restart R Session
script.open

Open R Script, R Markdown script, or SQL Script in RStudio
run.mplus

Run Mplus Models
script.new

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

Save R Script in RStudio
script.close

Close R Script in RStudio
setsource

Set Working Directory to the Source File Location
size.mean

Sample Size Determination for Testing Arithmetic Means
skewness

Skewness
test.z

z-Test
size.cor

Sample Size Determination for Testing Pearson's Correlation Coefficient
test.welch

Welch's Test
shift

Compute lagged or leading values of a vector
test.t

t-Test
test.levene

Levene's Test for Homogeneity of Variance
size.prop

Sample Size Determination for Testing Proportions
std.coef

Standardized Coefficients
write.sav

Write SPSS File
write.mplus

Write Mplus Data File
write.result

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

Write Excel File