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misty (version 0.3.2)

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, z-test, and sample size determination).

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Version

Install

install.packages('misty')

Monthly Downloads

3,210

Version

0.3.2

License

MIT + file LICENSE

Maintainer

Takuya Yanagida

Last Published

June 8th, 2020

Functions in misty (0.3.2)

ci.prop

Confidence Interval for Proportions
ci.sd

Confidence Interval for the Standard Deviation
ci.var

Confidence Interval for the Variance
df.sort

Data Frame Sorting
cramers.v

Cramer's V
crosstab

Cross Tabulation
na.auxiliary

Auxiliary variables
kurtosis

Excess Kurtosis
levenes.test

Levene's Test for Homogeneity of Variance
write.sav

Write SPSS File
rwg.lindell

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

Variance-Covariance Coverage
z.test

z-Test
scores

Compute Scale Scores
ci.mean.diff

Confidence Interval for the Difference in Arithmetic Means
ci.median

Confidence Interval for the Median
group.scores

Group Scores
freq

Frequency Table
cor.matrix

Correlation Matrix with Statistical Significance Testing
dummy.c

Dummy Coding
cont.coef

Pearson's Contingency Coefficient
na.descript

Descriptive Statistics for Missing Data
na.indicator

Missing Data Indicator Matrix
phi.coef

Phi Coefficient
omega.coef

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

Read Mplus Data File and Variable Names
eta.sq

Eta Squared
na.pattern

Missing Data Pattern
rec

Recode Variable
read.xlsx

Read Excel File
na.prop

Proportion of Missing Data for Each Case
read.sav

Read SPSS File
size.prop

Sample Size Determination for Testing Proportions
trim

Trim Whitespace from String
skewness

Skewness
center

Centering at the Grand Mean or Centering Within Cluster
write.mplus

Write Mplus Data File
alpha.coef

Coefficient Alpha and Item Statistics
as.na

Replace User-Specified Values With Missing Values
cohens.d

Cohen's d for Between- and Within-Subject Design
ci.mean

Confidence Interval for the Arithmetic Mean
df.duplicated

Extract Duplicated or Unique Rows
descript

Descriptive Statistics
collin.diag

Collinearity Diagnostics
mgsub

Multiple Pattern Matching And Replacements
na.as

Replace Missing Values With User-Specified Values
multilevel.icc

Intraclass Correlation Coefficient, ICC(1) and ICC(2)
poly.cor

Polychoric Correlation Matrix
multilevel.descript

Multilevel Descriptive Statistics
reverse.item

Reverse Code Scale Item
run.mplus

Run Mplus Models
size.cor

Sample Size Determination for Testing Pearson's Correlation Coefficient
size.mean

Sample Size Determination for Testing Arithmetic Means
std.coef

Standardized Coefficients
print.misty.object

Print misty.object object
stromit

Omit Strings
ci.prop.diff

Confidence Interval for the Difference in Proportions
df.merge

Merge Multiple Data Frames
df.rbind

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

Rename Columns in a Matrix or Variables in a Data Frame