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misty (version 0.4.0)

Miscellaneous Functions 'T. Yanagida'

Description

Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, coefficient alpha and omega, and various effect size measures), missing data (e.g., descriptive statistics for missing data, missing data pattern and auxiliary variable analysis), data management (e.g., grand-mean and group-mean centering, recode variables and reverse code items, scale and group scores, reading and writing SPSS and Excel files), and statistical analysis (e.g., confidence intervals, collinearity diagnostics, Levene's test, t-test, Welch's test, z-test, and sample size determination).

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Version

Install

install.packages('misty')

Monthly Downloads

2,322

Version

0.4.0

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

May 13th, 2021

Functions in misty (0.4.0)

chr.trim

Trim Whitespace from String
ci.prop

Confidence Interval for Proportions
ci.prop.diff

Confidence Interval for the Difference in Proportions
as.na

Replace User-Specified Values With Missing Values
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
chr.gsub

Multiple Pattern Matching And Replacements
chr.omit

Omit Strings
ci.mean

Confidence Interval for the Arithmetic Mean
ci.median

Confidence Interval for the Median
center

Centering at the Grand Mean or Centering Within Cluster
cor.cont

Pearson's Contingency Coefficient
collin.diag

Collinearity Diagnostics
cohens.d

Cohen's d
cor.poly

Polychoric Correlation Matrix
crosstab

Cross Tabulation
ci.var

Confidence Interval for the Variance
ci.sd

Confidence Interval for the Standard Deviation
cor.cramer

Cramer's V
freq

Frequency Table
group.scores

Group Scores
multilevel.descript

Multilevel Descriptive Statistics
kurtosis

Excess Kurtosis
descript

Descriptive Statistics
df.duplicated

Extract Duplicated or Unique Rows
cor.matrix

Correlation Matrix with Statistical Significance Testing
cor.phi

Phi Coefficient
df.rbind

Combine Data Frames by Rows, Filling in Missing Columns
df.merge

Merge Multiple Data Frames
dummy.c

Dummy Coding
df.sort

Data Frame Sorting
read.mplus

Read Mplus Data File and Variable Names
na.as

Replace Missing Values With User-Specified Values
df.rename

Rename Columns in a Matrix or Variables in a Data Frame
multilevel.icc

Intraclass Correlation Coefficient, ICC(1) and ICC(2)
print.misty.object

Print misty.object object
na.coverage

Variance-Covariance Coverage
na.indicator

Missing Data Indicator Matrix
na.descript

Descriptive Statistics for Missing Data
na.auxiliary

Auxiliary variables analysis
read.sav

Read SPSS File
item.scores

Compute Scale Scores
size.prop

Sample Size Determination for Testing Proportions
na.prop

Proportion of Missing Data for Each Case
item.reverse

Reverse Code Scale Item
size.mean

Sample Size Determination for Testing Arithmetic Means
na.pattern

Missing Data Pattern
eta.sq

Eta Squared
write.mplus

Write Mplus Data File
skewness

Skewness
std.coef

Standardized Coefficients
run.mplus

Run Mplus Models
item.omega

Coefficient Omega, Hierarchical Omega, and Categorical Omega
item.alpha

Coefficient Alpha and Item Statistics
rec

Recode Variable
rwg.lindell

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

Read Excel File
test.t

t-Test
test.levene

Levene's Test for Homogeneity of Variance
write.sav

Write SPSS File
test.z

z-Test
test.welch

Welch's Test
size.cor

Sample Size Determination for Testing Pearson's Correlation Coefficient