daggregate: aggregating for for data frames

In mets: Analysis of Multivariate Event Times

aggregating for for data frames

Description

aggregating for for data frames

Usage

daggregate(
  data,
  y = NULL,
  x = NULL,
  subset,
  ...,
  fun = "summary",
  regex = mets.options()$regex,
  missing = FALSE,
  remove.empty = FALSE,
  matrix = FALSE,
  silent = FALSE,
  na.action = na.pass,
  convert = NULL
)

Arguments

data	data.frame
y	name of variable, or formula, or names of variables on data frame.
x	name of variable, or formula, or names of variables on data frame.
subset	subset expression
...	additional arguments to lower level functions
fun	function defining aggregation
regex	interpret x,y as regular expressions
missing	Missing used in groups (x)
remove.empty	remove empty groups from output
matrix	if TRUE a matrix is returned instead of an array
silent	suppress messages
na.action	How model.frame deals with 'NA's
convert	if TRUE try to coerce result into matrix. Can also be a user-defined function

Examples

data("sTRACE",package="timereg")
daggregate(iris, "^.e.al", x="Species", fun=cor, regex=TRUE)
daggregate(iris, Sepal.Length+Petal.Length ~Species, fun=summary)
daggregate(iris, log(Sepal.Length)+I(Petal.Length>1.5) ~ Species,
                 fun=summary)
daggregate(iris, "*Length*", x="Species", fun=head)
daggregate(iris, "^.e.al", x="Species", fun=tail, regex=TRUE)
daggregate(sTRACE, status~ diabetes, fun=table)
daggregate(sTRACE, status~ diabetes+sex, fun=table)
daggregate(sTRACE, status + diabetes+sex ~ vf+I(wmi>1.4), fun=table)
daggregate(iris, "^.e.al", x="Species",regex=TRUE)
dlist(iris,Petal.Length+Sepal.Length ~ Species |Petal.Length>1.3 & Sepal.Length>5,
            n=list(1:3,-(3:1)))
daggregate(iris, I(Sepal.Length>7)~Species | I(Petal.Length>1.5))
daggregate(iris, I(Sepal.Length>7)~Species | I(Petal.Length>1.5),
                 fun=table)

dsum(iris, .~Species, matrix=TRUE, missing=TRUE)

par(mfrow=c(1,2))
data(iris)
drename(iris) <- ~.
daggregate(iris,'sepal*'~species|species!="virginica",fun=plot)
daggregate(iris,'sepal*'~I(as.numeric(species))|I(as.numeric(species))!=1,fun=summary)

dnumeric(iris) <- ~species
daggregate(iris,'sepal*'~species.n|species.n!=1,fun=summary)

mets documentation built on Jan. 17, 2023, 5:12 p.m.