Clinical and medical research focused visualizations using the visR package with sensible defaults based on graphical principles.
Usage
jvisr(
data,
analysis_type = "kaplan_meier",
time_var,
event_var,
strata_var,
cdisc_format = FALSE,
aval_var,
cnsr_var,
fun_type = "surv",
confidence_interval = TRUE,
risk_table = TRUE,
quantiles = FALSE,
p_value = TRUE,
legend_position = "right",
time_label = "Time",
time_units = "",
survival_label = "",
title = "",
theme_style = "visr",
color_palette = "default",
show_summary = TRUE,
show_interpretation = TRUE
)Arguments
- data
The data as a data frame.
- analysis_type
Type of clinical visualization to generate.
- time_var
Time-to-event variable for survival analysis.
- event_var
Event indicator variable (1=event, 0=censored).
- strata_var
Variable for stratified analysis.
- cdisc_format
Whether to assume CDISC ADaM ADTTE data format.
- aval_var
Analysis value for CDISC format (time variable).
- cnsr_var
Censor variable for CDISC format (1=censored, 0=event).
- fun_type
Function scale for survival plots.
- confidence_interval
Whether to display confidence intervals.
- risk_table
Whether to include risk table below plot.
- quantiles
Whether to display survival quantiles.
- p_value
Whether to display statistical p-value.
- legend_position
Position of the legend in the plot.
- time_label
Label for the time axis.
- time_units
Units for time measurement.
- survival_label
Label for the survival probability axis.
- title
Main title for the plot.
- theme_style
Visual theme for the plot.
- color_palette
Color palette for group stratification.
- show_summary
Whether to display summary statistics table.
- show_interpretation
Whether to include clinical interpretation.
Value
A results object containing:
results$plot | Main clinical visualization plot using visR package | ||||
results$summary | Summary statistics and data information | ||||
results$interpretation | Clinical interpretation of the results |
Examples
# \donttest{
# Example usage:
library(visR)
#> Error in library(visR): there is no package called ‘visR’
# Kaplan-Meier estimation
survfit_object <- estimate_KM(data = data, strata = "treatment")
#> Error in estimate_KM(data = data, strata = "treatment"): could not find function "estimate_KM"
# Clinical visualization
visr(survfit_object)
#> Error in visr(survfit_object): could not find function "visr"
# }