R: Presenting Statistical Results Effectively

# Presenting Statistical Results Effectively

## Documentation for package ‘psre’ version 0.4

- DESCRIPTION file

## Help Pages

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