Package index • carver

All functions

FMQ_Consolidated_List: FMQ Consolidated List

adae: ADAE

adae_risk_summary(): ADAE Summary with Risk Statistics

adlb: ADLB

adsl: ADSL

adsl_merge(): Merge adsl dataset with the analysis dataset

adsl_summary(): Demographic Characteristics Table

ae_forest_plot(): Forest Plot of Adverse Events

ae_pre_process: ae_pre

ae_pre_processor(): Pre-processing data for Adverse Event domain specific reports

ae_volcano_opts(): Volcano Plot axis Options

ae_volcano_plot(): Generate Volcano Plot of Adverse Events from Risk values of treatment pairs

as_plotly(): Standard convert ggplot to plotly object

bar_plot(): Utility for Bar plot.

box_plot(): Create box plot - static and interactive output

carver carver-package: carver: Clinical Analysis Reporting and Visualization Ensemble in R

cm: CM

data_read(): Read data from selected path or in-built defaults

dataset_merge(): Merge Datasets

dataset_vignette(): Output a Dataset in a Vignette

display_bign_head(): Attach bign value to table columns, modify column header labels

edish_plot(): eDISH Plot

empty_plot(): Empty plot with message

empty_tbl(): Return table if output is empty

event_analysis_plot(): Event graphs for FDA Medical queries

event_df: event_df

forest_display(): Display combined Forest Plot

forest_plot_base(): Forest Plot - base with errorbars

forest_plot_scatter(): Scatter plot to be included within forest plot

g_seriescol(): Set Colors to Series Variable to plot

g_seriessym(): Set Shapes to Series Variable to plot

interval_plot(): Patient-Level Interval Plot

lab_abnormality_summary(): Incidence of Laboratory Test Abnormalities (Without Regard to Baseline Abnormality)

line_plot(): Utility for Line Plot

mcatstat(): Summary analysis for categorical variables

mentry(): Read and process data with subsets and variables

msumstat(): Summary statistics for numeric data variable

multi_interval(): Aligned Interval Plot for Adverse Events and Concomitant Medication

occ_tier_summary(): Generic Occurrence Summary Tiered Table

plot_aes_opts(): Set Series Variable Options for color, shape and size

plot_axis_opts(): Plot Axes Options

plot_display_bign(): Return N count in plot legend (treatment)

plotly_legend(): Legend Positioning and Labeling for an interactive Plot

process_edish_data(): Process data for eDISH plot

process_event_analysis(): Process data for Event Analysis

process_tornado_data(): Pre-process data for tornado plot

reverselog_trans(): Reverse Log transformation of value to pass to scale options

risk_stat(): Calculate Risk Statistics for treatment pairs from pre-processed Adverse Events data

riskdiff_wald(): Calculate Risk difference

round_f(): Round and Format values

run_app(): Run the Shiny Application

save_file(): To save the reports generated in the application

scatter_plot(): Create Scatter Plot

shape_to_sym(): Recode Shapes to Numbers

split_data_by_var(): Split data by given variables into list

split_section_headers(): Return section headers according to splitting variables specified

str_to_vec(): Convert string to vector

summary_functions(): List of Summary Functions

summary_row_cat(): Insert Overall/Summary Row

tbl_display(): Create flextable output from display templates

tbl_processor(): Prepare data for general table display

tbl_risk_labels(): Labels for AE risk table

tbl_to_plot(): Convert dataframe into ggplot object table

theme_cleany(): Theme for ggplots with only X axis title/ticks

theme_std(): Standard ggplot theme

tornado_plot(): Tornado Plot

var_start(): Find column names with starting pattern