Miscellaneous Functions 'T. Yanagida'


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Documentation for package ‘misty’ version 0.6.5

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A C D E F I K L M N P R S T W

-- 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 --

effsize 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 --

kurtosis 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 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