Package: psre 0.4

Dave Armstrong

psre: Presenting Statistical Results Effectively

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.

Authors:Dave Armstrong [aut, cre], Robert Andersen [aut], Justin Esarey [cph], John Fox [cph], Michael Friendly [cph], Adrian Bowman [cph], Adelchi Azzalini [cph], Dewey Michael [cph]

psre_0.4.tar.gz
psre_0.4.tar.gz(r-4.7-any)psre_0.4.tar.gz(r-4.6-any)
psre_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
psre/json (API)

# Install 'psre' in R:

install.packages('psre', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

ces - Canadian Election Study
gss - General Social Survey
inc_ineq - Income and Inequality Data
india - Indian Election Data
relig_imp - World Values Survey Religious Importance
repress - State Repression Dataset
wvs - World Values Survey Aggregate Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.66 score 151 scripts 256 downloads 19 exports 95 dependencies

Last updated from:213a4bb2f2. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	186
source / vignettes	OK	217
linux-release-x86_64	OK	181
wasm-release	OK	145

Exports:assocfun boot_imp caption dfbhist gg_hmf glmImp letter_plot linear_args loess_args lsa normBand optCL qqPoints rrPlot shuffle simple_slopes srr_imp tpb transNorm

Dependencies:abind backports boot broom car carData checkmate cli codetools colorspace commonmark cowplot cpp11 curl data.table Deriv doBy dplyr emmeans estimability fANCOVA farver forecast Formula fracdiff generics ggplot2 ggrepel ggtext glue gridtext gtable HDInterval insight isoband jpeg labeling lattice lifecycle litedown lme4 lmtest magrittr marginaleffects markdown MASS Matrix MatrixModels mgcv minqa modelr multcomp mvtnorm nlme nloptr nnet nortest numDeriv pbkrtest pillar pkgconfig png purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 sandwich scales sm SparseM stringi stringr survival TH.data tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite VizTest withr xfun xml2 zoo

Help page	Topics
Association Function	assocfun
Bootstrap Importance Function	boot_imp
Caption Grob	caption
Canadian Election Study	ces
Compact Letter Display for Simple Slopes	cld.ss
Hybrid Plot for DFBETAS	dfbhist
Heatmap Fit Plot using GGplot	gg_hmf
Importace Measure for Generalized Linear Models	glmImp
General Social Survey	gss
Income and Inequality Data	inc_ineq
Indian Election Data	india
Dot Plot with Letter Display	letter_plot
Make Arguments for Linear Smooth	linear_args
Make Arguments for LOESS Smooth	loess_args
Linear Scatterplot Array	lsa
Kernel Density with Normal Density Overlay	normBand
Calculate the Optimal Visual Testing Confidence Level	optCL
Print Method for Silber, Rosenbaum and Ross Importance Measure	print.srr
Print Method for Simple Slopes	print.ss
Quantile Comparison Data	qqPoints
World Values Survey Religious Importance	relig_imp
State Repression Dataset	repress
Residual-Residual Plot	rrPlot
Shuffle coefficients and standard errors together	shuffle
Calculate Simple Slopes	simple_slopes
Absolute Importance Measure	srr_imp
Truncated Power Basis Functions	tpb
Transform Variables to Normality	transNorm
World Values Survey Aggregate Data	wvs

Package: psre 0.4

psre: Presenting Statistical Results Effectively

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)