Miscellaneous Functions 'T. Yanagida'

Documentation for package ‘misty’ version 0.6.5

Help Pages

-- A --

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

-- C --

center	Centering Predictor Variables in Single-Level and Multilevel Data
check.collin	Collinearity Diagnostics
check.outlier	Statistical Measures for Leverage, Distance, and Influence
check.resid	Residual Diagnostics
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
ci.mean	Confidence Interval for the Arithmetic Mean and Median
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	Confidence Interval for the Arithmetic Mean and Median
ci.prop	Confidence Interval 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	Confidence Interval for the Variance and Standard Deviation
ci.var	Confidence Interval for the Variance and Standard Deviation
cluster.scores	Cluster Scores
coding	Coding Categorical Variables
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.duplicated	Extract Duplicated or Unique Rows
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.unique	Extract Duplicated or Unique Rows
dominance	Dominance Analysis
dominance.manual	Dominance Analysis, Manually Inputting a Correlation Matrix

-- E --

Effect Sizes for Categorical Variables

-- F --

freq	Frequency Table

-- I --

indirect	Confidence Intervals for the Indirect Effect
item.alpha	Coefficient Alpha and Item Statistics
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	Compute Scale Scores

-- K --

Skewness and Kurtosis

-- L --

lagged	Create Lagged Variables
libraries	Load and Attach Multiple Packages

-- M --

mplus	Create, Run, and Print Mplus Models
mplus.lca	Mplus Model Specification for Latent Class Analysis
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 User-Specified Values With Missing Values or Missing Values With User-Specified 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.test	Little's Missing Completely at Random (MCAR) Test

-- P --

Print misty.object object

-- R --

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
result.lca	Summary Result Table and Grouped Bar Charts for Latent Class Analysis Estimated in Mplus
robust.coef	Unstandardized Coefficients with Heteroscedasticity-Consistent Standard Errors
rwg.lindell	Lindell, Brandt and Whitney (1999) r*wg(j) Within-Group Agreement Index for Multi-Item Scales

-- 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
setsource	Set Working Directory to the Source File Location
size.cor	Sample Size Determination for Testing Pearson's Correlation Coefficient
size.mean	Sample Size Determination for Testing Arithmetic Means
size.prop	Sample Size Determination for Testing Proportions
skewness	Skewness and Kurtosis
std.coef	Standardized Coefficients

-- 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

-- W --

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