survfit: Compute a Survival Curve for Censored Data

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

Computes an estimate of a survival curve for censored data

Usage

survfit(...)

Arguments

...	The additional arguments used by FL function: conf.int the level for a two-sided confidence interval on the survival curve(s). Default is 0.95. whereconditions WhereConditions to subset data GroupBy Column names defining the different groups in data, if any.
formula	a formula object, which must have a Surv object as the response on the left of the ~ operator and 1 on right side(Single survival curve)
data	Wide FLTable or FLTableMD objects
weights	Not currently used
subset	Not currently used
na.action	na values omitted always
etype	Not currently used
id	Not currently used
istate	Not currently used

Value

A list with class survfit. A list of survfit objects if the input is a FLTableMD object.

Constraints

Only Single survival curve supoorted currently.(RHS of formula is 1) Only conf.type='plain' supported.

Examples

fltMD <- FLTableMD("vwWHAS100","DataSetID","ObsID")
resultList <- survfit(Surv(TIME_VAL,STATUS)~1,data=fltMD)
print(resultList[[1]])
summary(resultList[[1]])
plot(resultList[[1]])

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.