Miscellaneous Functions 'T. Yanagida'

Documentation for package ‘misty’ version 0.7.6

Help Pages

-- A --

aov.b	Between-Subject Analysis of Variance
aov.w	Repeated Measures Analysis of Variance (Within-Subject ANOVA)
as.na	Replace Missing Values With User-Specified Values or User-Specified Values With Missing Values

-- B --

blimp	Create, Run, and Print Blimp Models
blimp.bayes	Blimp Summary Measures, Convergence and Efficiency Diagnostics
blimp.plot	Blimp Trace Plots and Posterior Distribution Plots
blimp.print	Print Blimp Output
blimp.run	Run Blimp Models
blimp.update	Blimp Input Updating

-- C --

center	Centering Predictor Variables in Single-Level and Multilevel Data
cfa.satcor	Fit a Saturated Correlates Model
check.collin	Collinearity Diagnostics
check.outlier	Statistical Measures for Leverage, Distance, and Influence
check.resid	Residual Diagnostics for Linear, Multilevel and Mixed-Effects Models
chr.color	Colored and Styled Terminal Output Text
chr.grep	Multiple Pattern Matching
chr.grepl	Multiple Pattern Matching
chr.gsub	Multiple Pattern Matching And Replacements
chr.omit	Omit Strings
chr.trim	Trim Whitespace from String
chr.trunc	Truncate a Character Vector to a Maximum Width
ci.cor	(Bootstrap) Confidence Intervals for Correlation Coefficients
ci.mean	(Bootstrap) Confidence Intervals for Arithmetic Means and Medians
ci.mean.diff	Confidence Interval for the Difference in Arithmetic Means
ci.mean.diff.default	Confidence Interval for the Difference in Arithmetic Means
ci.mean.diff.formula	Confidence Interval for the Difference in Arithmetic Means
ci.mean.w	Within-Subject Confidence Interval for the Arithmetic Mean
ci.median	(Bootstrap) Confidence Intervals for Arithmetic Means and Medians
ci.prop	(Bootstrap) Confidence Intervals for Proportions
ci.prop.diff	Confidence Interval for the Difference in Proportions
ci.prop.diff.default	Confidence Interval for the Difference in Proportions
ci.prop.diff.formula	Confidence Interval for the Difference in Proportions
ci.sd	(Bootstrap) Confidence Intervals for Variances and Standard Deviations
ci.var	(Bootstrap) Confidence Intervals for Variances and Standard Deviations
clear	Clear Console in RStudio
cluster.rwg	Lindell, Brandt and Whitney (1999) r*wg(j) Within-Group Agreement Index for Multi-Item Scales
cluster.scores	Cluster Scores
coding	Coding Categorical Variables
coeff.robust	Heteroscedasticity-Consistent and Cluster-Robust Standard Errors
coeff.std	Standardized Coefficients for Linear, Multilevel and Mixed-Effects Models
cohens.d	Cohen's d
cohens.d.default	Cohen's d
cohens.d.formula	Cohen's d
cor.matrix	Correlation Matrix
crosstab	Cross Tabulation

-- D --

descript	Descriptive Statistics
df.check	Data Check
df.duplicated	Extract Duplicated or Unique Rows
df.head	Print the First and Last Rows of a Data Frame
df.long	Converting Data Frames Between 'Wide' and 'Long' Format
df.merge	Merge Multiple Data Frames
df.move	Move Variable(s) in a Data Frame
df.rbind	Combine Data Frames by Rows, Filling in Missing Columns
df.rename	Rename Columns in a Matrix or Variables in a Data Frame
df.sort	Data Frame Sorting
df.subset	Subsetting Data Frames
df.tail	Print the First and Last Rows of a Data Frame
df.unique	Extract Duplicated or Unique Rows
df.wide	Converting Data Frames Between 'Wide' and 'Long' Format
dominance	Dominance Analysis
dominance.manual	Dominance Analysis, Manually Inputting a Correlation Matrix

-- E --

effsize

Effect Sizes for Categorical Variables

-- F --

freq	Frequency Table

-- G --

growth.satcor

Fit a Saturated Correlates Model

-- I --

indirect	Confidence Intervals for the Indirect Effect
item.alpha	Coefficient Alpha, Hierarchical Alpha, and Ordinal Alpha
item.cfa	Confirmatory Factor Analysis
item.invar	Between-Group and Longitudinal Measurement Invariance Evaluation
item.omega	Coefficient Omega, Hierarchical Omega, and Categorical Omega
item.reverse	Reverse Code Scale Item
item.scores	Scale Scores

-- K --

kurtosis

Univariate and Multivariate Skewness and Kurtosis

-- L --

lagged	Create Lagged Variables
lavaan.satcor	Fit a Saturated Correlates Model
libraries	Load and Attach Multiple Packages

-- M --

mplus	Create, Run, and Print Mplus Models
mplus.bayes	Mplus Summary Measures, Convergence and Efficiency Diagnostics
mplus.lca	Mplus Model Specification for Latent Class Analysis
mplus.lca.summa	Summary Result Table and Grouped Bar Charts for Latent Class Analysis Estimated in Mplus
mplus.plot	Plot Mplus GH5 File
mplus.print	Print Mplus Output
mplus.run	Run Mplus Models
mplus.update	Mplus Input Updating
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
multilevel.fit	Simultaneous and Level-Specific Multilevel Model Fit Information
multilevel.icc	Intraclass Correlation Coefficient, ICC(1) and ICC(2)
multilevel.indirect	Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Model
multilevel.invar	Cross-Level Measurement Invariance Evaluation
multilevel.omega	Multilevel Composite Reliability
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

-- N --

na.as	Replace Missing Values With User-Specified Values or User-Specified Values With Missing Values
na.auxiliary	Auxiliary Variables Analysis
na.coverage	Variance-Covariance Coverage
na.descript	Descriptive Statistics for Missing Data in Single-Level, Two-Level and Three-Level Data
na.indicator	Missing Data Indicator Matrix
na.pattern	Missing Data Pattern
na.prop	Proportion of Missing Data for Each Case
na.satcor	Fit a Saturated Correlates Model
na.test	Missing Completely at Random (MCAR) Test

-- P --

plot.misty.object	Plots misty.object object
print.misty.object	Print misty.object object

-- R --

read.data	Read Data File in Table Format, SPSS, Excel, or Stata DTA File
read.dta	Read Stata DTA File
read.mplus	Read Mplus Data File and Variable Names
read.sav	Read SPSS File
read.xlsx	Read Excel File
rec	Recode Variable
restart	Restart R Session
robust.lmer	Robust Estimation of Multilevel and Linear Mixed-Effects Models

-- S --

script.close	Open, Close and Save R Script in RStudio
script.copy	Save Copy of the Current Script in RStudio
script.new	Open new R Script, R Markdown script, or SQL Script in RStudio
script.open	Open, Close and Save R Script in RStudio
script.save	Open, Close and Save R Script in RStudio
sem.satcor	Fit a Saturated Correlates Model
setsource	Set Working Directory to the Source File Location
size.cor	Sample Size Determination
size.mean	Sample Size Determination
size.prop	Sample Size Determination
skewness	Univariate and Multivariate Skewness and Kurtosis
summa	Print Summary Output

-- T --

test.levene	Levene's Test for Homogeneity of Variance
test.t	t-Test
test.t.default	t-Test
test.t.formula	t-Test
test.welch	Welch's Test
test.z	z-Test
test.z.default	z-Test
test.z.formula	z-Test

-- U --

uniq	Extract Unique Elements and Count Number of Unique Elements
uniq.n	Extract Unique Elements and Count Number of Unique Elements

-- W --

write.data	Write Data File in Table Format, SPSS, Excel, or Stata DTA File
write.data1	Write Data File in Table Format, SPSS, Excel, or Stata DTA File
write.dta	Write Stata DTA File
write.mplus	Write Mplus Data File
write.result	Write Results of a misty Object into an Excel file
write.sav	Write SPSS File
write.xlsx	Write Excel File