R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
misty
View on CRAN: Click
here
Download and install misty package within the R console
Install from CRAN:
install.packages("misty")
Install from Github:
library("remotes")
install_github("cran/misty")
Install by package version:
library("remotes")
install_version("misty", "0.6.8")
Attach the package and use:
library("misty")
Maintained by
Takuya Yanagida
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-09
Latest Update: 2023-08-24
Description:
Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), and (6) statistical analysis (e.g., confidence intervals, collinearity and residual diagnostics, dominance analysis, between- and within-subject analysis of variance, latent class analysis, t-test, z-test, sample size determination).
How to cite:
Takuya Yanagida (2020). misty: Miscellaneous Functions 'T. Yanagida'. R package version 0.6.8, https://cran.r-project.org/web/packages/misty. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2020-02-09 20:30), 0.2.1 (2020-02-09 22:30), 0.2.2 (2020-02-26 18:10), 0.3.0 (2020-04-06 11:10), 0.3.1 (2020-04-25 20:40), 0.3.2 (2020-06-08 16:20), 0.4.0 (2021-05-13 17:30), 0.4.1 (2021-06-07 20:50), 0.4.2 (2021-08-19 22:40), 0.4.3 (2021-09-30 21:10), 0.4.4 (2022-02-24 16:40), 0.4.5 (2022-04-29 22:30), 0.4.6 (2022-06-08 12:50), 0.4.7 (2023-01-06 12:50), 0.4.8 (2023-03-10 10:30), 0.4.9 (2023-05-02 23:20), 0.4.10 (2023-05-18 12:30), 0.4.11 (2023-06-10 17:00), 0.4.12 (2023-07-08 11:30), 0.5.0 (2023-08-07 14:40), 0.5.1 (2023-08-22 16:30), 0.5.2 (2023-08-24 09:30), 0.5.3 (2023-09-18 00:50), 0.5.4 (2023-11-15 00:00), 0.6.0 (2024-01-13 00:50), 0.6.1 (2024-01-19 11:30), 0.6.2 (2024-02-05 19:40), 0.6.3 (2024-05-15 00:50), 0.6.4 (2024-06-26 13:20), 0.6.5 (2024-06-29 08:50), 0.6.6 (2024-08-25 06:20), 0.6.7 (2024-09-18 06:40)
Other packages that cited misty R package
View misty citation profile
Other R packages that misty depends,
imports, suggests or enhances
Complete documentation for misty
Functions, R codes and Examples using
the misty R package
Some associated functions: aov.b . aov.w . as.na . center . chr.gsub . chr.omit . chr.trim . ci.mean.diff . ci.mean . ci.mean.w . ci.median . ci.prop.diff . ci.prop . ci.sd . ci.var . cluster.scores . cohens.d . collin.diag . cor.cont . cor.cramer . cor.matrix . cor.phi . cor.poly . crosstab . descript . df.duplicated . df.merge . df.rbind . df.rename . df.sort . dummy.c . eta.sq . freq . indirect . item.alpha . item.cfa . item.omega . item.reverse . item.scores . kurtosis . multilevel.cor . multilevel.descript . multilevel.icc . multilevel.indirect . multilevel.r2 . na.as . na.auxiliary . na.coverage . na.descript . na.indicator . na.pattern . na.prop . na.test . print.mistyject . read.mplus . read.sav . read.xlsx . rec . run.mplus . rwg.lindell . size.cor . size.mean . size.prop . skewness . std.coef . test.levene . test.t . test.welch . test.z . write.mplus . write.result . write.sav . write.xlsx .
Some associated R codes: aov.b.R . aov.w.R . as.na.R . center.R . chr.gsub.R . chr.omit.R . chr.trim.R . ci.mean.R . ci.mean.diff.R . ci.mean.w.R . ci.median.R . ci.prop.R . ci.prop.diff.R . ci.sd.R . ci.var.R . cluster.scores.R . cohens.d.R . collin.diag.R . cor.cont.R . cor.cramer.R . cor.matrix.R . cor.phi.R . cor.poly.R . crosstab.R . descript.R . df.duplicated.R . df.merge.R . df.rbind.R . df.rename.R . df.sort.R . dummy.c.R . eta.sq.R . freq.R . globals.R . indirect.R . item.alpha.R . item.cfa.R . item.omega.R . item.reverse.R . item.scores.R . kurtosis.R . multilevel.cor.R . multilevel.descript.R . multilevel.icc.R . multilevel.indirect.R . multilevel.r2.R . na.as.R . na.auxiliary.R . na.coverage.R . na.descript.R . na.indicator.R . na.pattern.R . na.prop.R . na.test.R . print.mistyject.R . read.mplus.R . read.sav.R . read.xlsx.R . rec.R . run.mplus.R . rwg.lindell.R . size.cor.R . size.mean.R . size.prop.R . skewness.R . start_message.R . std.coef.R . test.levene.R . test.t.R . test.welch.R . test.z.R . write.mplus.R . write.result.R . write.sav.R . write.xlsx.R . Full misty package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
Rfast2
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Manos Papadakis (view profile)
wordspace
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephanie Evert (view profile)
composits
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sevvandi Kandanaarachchi (view profile)
elect
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ardo van den Hout (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
dmlalg
Implementation of double machine learning (DML) algorithms in R,
based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Corinne Emmenegger (view profile)