transform_survfit

Computes the KM estimator, Greenwood CI, and censoring indicators from raw
time-to-event data. No dependency on the survival package.

internal

Create interactive 'd3.js' visualizations from R with built-in
statistical transforms. Computes confidence intervals, regression fits,
LOESS smoothing, moving averages, error bars, and uncertainty
visualizations (quantile dot plots and fan charts) in R and renders them
as composable chart layers via 'htmlwidgets'. Supports 36 chart types
including boxplots, violin plots, Q-Q diagnostic plots, calendar heatmaps,
survival curves, and group comparisons with pairwise significance testing.
Also provides a machine-readable chart specification schema with validators
so that large language model agents can author and verify charts. Works in
'RStudio', 'Shiny', and 'R Markdown'.

Ryan Morton

myIO

Interactive Data Visualizations Using 'd3.js'

Mike Bostock

James Hall

yWorks GmbH 

transform_survfit function

<dl><dt>data</dt>
<dd>Data frame with time and status columns.</dd>
<dt>mapping</dt>
<dd>Named list; must contain `time` and `status`.</dd>
<dt>options</dt>
<dd>List; `level` (default 0.95) controls CI width.</dd></dl>

Arguments

Kaplan-Meier survival transform — transform_survfit

<dl>

<dt>data</dt>
<dd>Data frame with time and status columns.</dd>


<dt>mapping</dt>
<dd>Named list; must contain `time` and `status`.</dd>


<dt>options</dt>
<dd>List; `level` (default 0.95) controls CI width.</dd>

</dl>

transform_survfit: Kaplan-Meier survival transform

Description

Usage

Value

Arguments