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psre (version 0.4)

Presenting Statistical Results Effectively

Description

Includes functions and data used in the book "Presenting Statistical Results Effectively", Andersen and Armstrong (2022, ISBN: 978-1446269800). Several functions aid in data visualization - creating compact letter displays for simple slopes, kernel density estimates with normal density overlay. Other functions aid in post-model evaluation heatmap fit statistics for binary predictors, several variable importance measures, compact letter displays and simple-slope calculation. Finally, the package makes available the example datasets used in the book.

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Version

Install

install.packages('psre')

Monthly Downloads

196

Version

0.4

License

GPL (>= 2)

Maintainer

Dave Armstrong

Last Published

December 18th, 2025

Functions in psre (0.4)

simple_slopes

Calculate Simple Slopes
print.ss

Print Method for Simple Slopes
rrPlot

Residual-Residual Plot
shuffle

Shuffle coefficients and standard errors together
wvs

World Values Survey Aggregate Data
qqPoints

Quantile Comparison Data
loess_args

Make Arguments for LOESS Smooth
linear_args

Make Arguments for Linear Smooth
repress

State Repression Dataset
print.srr

Print Method for Silber, Rosenbaum and Ross Importance Measure
relig_imp

World Values Survey Religious Importance
cld.ss

Compact Letter Display for Simple Slopes
assocfun

Association Function
glmImp

Importace Measure for Generalized Linear Models
caption

Caption Grob
gg_hmf

Heatmap Fit Plot using GGplot
gss

General Social Survey
boot_imp

Bootstrap Importance Function
dfbhist

Hybrid Plot for DFBETAS
optCL

Calculate the Optimal Visual Testing Confidence Level
letter_plot

Dot Plot with Letter Display
lsa

Linear Scatterplot Array
normBand

Kernel Density with Normal Density Overlay
inc_ineq

Income and Inequality Data
india

Indian Election Data
ces

Canadian Election Study
srr_imp

Absolute Importance Measure
tpb

Truncated Power Basis Functions
transNorm

Transform Variables to Normality