Function reference • visR

Visualizations

visr(): Plot a supported S3 object

add_CI(): Add confidence interval (CI) to visR object

add_risktable(): Add risk tables to visR plots through an S3 method

add_CNSR(): Add censoring symbols to a visR object

add_highlight(): Highlight a specific strata

add_quantiles(): Add quantile indicators to visR plot

add_annotation(): Add annotations to a visR object

apply_theme(): Applies a theme to a ggplot object.

define_theme(): Provides a simple wrapper for themes

legendopts(): Translates options for legend into a list that can be passed to ggplot2

align_plots(): Align multiple ggplot graphs, taking into account the legend

Survival Analysis

estimate_KM(): Wrapper for Kaplan-Meier Time-to-Event analysis

estimate_cuminc(): Competing Events Cumulative Incidence

get_risktable(): Obtain risk tables for tables and plots

get_pvalue(): Summarize the test for equality across strata from a survival object using S3 method

get_quantile(): Wrapper around quantile methods

get_COX_HR(): Summarize Hazard Ratio from a survival object using S3 method

Surv_CNSR(): Create a Survival Object from CDISC Data

Data Summary

tableone(): Display a summary Table (i.e. table one)

get_tableone(): Calculate summary statistics

get_summary(): Summarize the descriptive statistics across strata from a survival object using S3 method

Attrition Diagram

get_attrition(): Generate cohort attrition table

apply_attrition(): Apply list of inclusion/exclusion criteria to a patient-level dataframe

Other Functions

render(): Render a data.frame, risktable, or tableone object as a table

tidyme(): Extended tidy cleaning of selected objects using S3 method

stat_stepribbon() StatStepribbon: Step ribbon statistic

the_lhs(): Find the "lhs" in the pipeline

summarize_long(): Calculate summary statistics from a vector

summarize_short(): Create abbreviated variable summary for table1

Data

adtte: adtte - CDISC ADaM compliant time to event data set

brca_cohort: Cancer survival data