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Summary Tables

Build formatted summary tables from data frames.

summary_table() qsummary()
Data Summary Tables
qable()
qable: an extended version of knitr::kable

Formatting Summary Statistics

Format numeric summaries, p-values, confidence intervals, and package names.

frmt() frmtp() frmtci()
Format Wrappers
mean_sd()
Mean and Standard deviation
mean_se()
Mean and Standard Error (of the mean)
mean_ci() print(<qwraps2_mean_ci>)
Means and Confidence Intervals
median_iqr()
Median and Inner Quartile Range
n_perc() perc_n() n_perc0()
Count and Percentage
gmean() gvar() gsd()
Geometric Mean, Variance, and Standard Deviation
gmean_sd()
Geometric Mean and Standard deviation
Rpkg() CRANpkg() Githubpkg() GitHubpkg() Gitlabpkg()
Formatting Style on URLs for packages on CRAN, Github, and Gitlab.
backtick()
Backtick

Graphics

ggplot2-based helper plots.

qacf()
Autocorrelation plot
qblandaltman() qblandaltman_build_data_frame()
Bland Altman Plots
qkmplot() qkmplot_build_data_frame() qrmst()
Kaplan-Meier Plot
qroc() qprc()
Receiver Operating Characteristic and Precision-Recall Curves
stat_stepribbon()
Step ribbon statistic
StatStepribbon
Stat Step Ribbon
ggplot2_extract_legend()
ggplot2 tools

Classification Metrics

confusion_matrix() print(<qwraps2_confusion_matrix>)
Confusion Matrices (Contingency Tables)

Data

mtcars2
mtcars2
pefr
pefr
spambase
Spambase

Utilities

file_check()
File and Working Directory Check
pkg_check()
Package Checks
lazyload_cache_dir() lazyload_cache_labels()
Lazyload Cache
ll()
List Object Aliases
set_diff() print(<qwraps2_set_diff>)
Set Differences
spin_comments()
Spin Comment Check
check_comments()
Check Comments
traprule()
Trapezoid Rule Numeric Integration
extract_fstat() extract_fpvalue()
Extract Summary stats from regression objects
`%s%`
Operators

Deprecated Functions

Retained for backward compatibility.

logit() invlogit()
Deprecated logit and invlogit
qkmplot_bulid_data_frame()
Deprecated qkmplot data-frame builder
qroc_build_data_frame() qprc_build_data_frame()
Deprecated qroc and qprc building of data frames: