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Quantitative Psychology Tools

The following changes have been made since version 1.1 of Quantitative Psychology Tools

Changes to v. 1.2

  1. Changed affiliation from @umsl.edu to @statefarm.com

Changes to v. 1.3

  1. There was a grammar error in help files with examples involving boot() with mediation

Changes to v. 1.4

  1. Corrected numerous help file errors (syntax issues)
  2. Renamed 2 functions to eliminate a conflict with classes.
  3. mean.center is now meanCenter
  4. plot.normX (plot.normXm) is now plotNormX (plotNormXm)
  5. Changes to plotNormXm, now incorporates a for loop
  6. Added 2 new functions: ClassLog and NormalizeX

Changes to v. 1.5

  1. Functions using sd() needed to be revised to sapply(MAT, sd)

  2. Added minor to tweaks to make suitable for R 2.15 upgrade (e.g.,

  3. Changed library(PACKAGE) to require(PACKAGE) in examples)

Changes to v. 1.6

  1. Changed affiliation to @gmail.com
  2. Updated call to functions in stats and graphics in NAMESPACE
  3. Dropped the use of attach/detach(data) and replaced with functions in purr and dpylr
  4. Removed pdf generation from plotnormXm example
  5. Re-compiled to work under R 4.2.0

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Version

Install

install.packages('QuantPsyc')

Monthly Downloads

4,187

Version

1.6

License

GPL (>= 2)

Maintainer

Thomas Fletcher

Last Published

June 3rd, 2022

Functions in QuantPsyc (1.6)

proximal.med

Simple Mediation Models
plotNorm

Normal Density Plot
norm

Skewness and Kurtosis
moderate.lm

Simple Moderated Regression Model
distal.med

Distal Indirect Effect
mult.norm

Tests for Multivariate Normality
powerF

Power in F distribution
proxInd.ef

Simple Mediation for use in Bootstrapping
sim.slopes

Moderated Simple Slopes
tra

Simulated Theory of Reasoned Action Data
lm.beta

Standardized Regression Coefficients
distInd.ef

Complex Mediation for use in Bootstrapping
ClassLog

Classification for Logistic Regression
QuantPsyc-package

Quantitative Psychology Tools
eda.uni

Plots for Exploratory Data Analysis
Normalize

Normalize Data
Make.Z

Standardize Data
graph.mod

Moderation Graph
meanCenter

Mean Center Variables