daggregate | R Documentation |
aggregating for for data frames
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 )
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 |
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)
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