Manipulation of Data Sets
The semantics are basically the same as the methods defined
for data frames in the base package, with the only difference
that the return values are data.set objects.
In fact, the methods described here are front-ends to the
corresponding methods for data frames, which are constructed
such that the "extra" information attached to variables within
data.set objects, that is, to item objects.
## S4 method for signature 'data.set' subset(x, ...) ## S4 method for signature 'data.set' unique(x, incomparables = FALSE, ...) ## S3 method for class 'data.set' cbind(..., deparse.level = 1) ## S3 method for class 'data.set' rbind(..., deparse.level = 1) ## S4 method for signature 'data.set,data.set' merge(x,y, ...) ## S4 method for signature 'data.set,data.frame' merge(x,y, ...) ## S4 method for signature 'data.frame,data.set' merge(x,y, ...)
x,y |
|
... |
for |
incomparables |
a vector of values that cannot be compared. See
|
deparse.level |
an argument retained for
reasons of compatibility of the default methods
of |
ds1 <- data.set(
a = rep(1:3,5),
b = rep(1:5,each=3)
)
ds2 <- data.set(
a = c(3:1,3,3),
b = 1:5
)
ds1 <- within(ds1,{
description(a) <- "Example variable 'a'"
description(b) <- "Example variable 'b'"
})
ds2 <- within(ds2,{
description(a) <- "Example variable 'a'"
description(b) <- "Example variable 'b'"
})
str(ds3 <- rbind(ds1,ds2))
description(ds3)
ds3 <- within(ds1,{
c <- a
d <- b
description(c) <- "Copy of variable 'a'"
description(d) <- "Copy of variable 'b'"
rm(a,b)
})
str(ds4 <- cbind(ds1,ds3))
description(ds4)
ds5 <- data.set(
c = 1:3,
d = c(1,1,2)
)
ds5 <- within(ds5,{
description(c) <- "Example variable 'c'"
description(d) <- "Example variable 'd'"
})
str(ds6 <- merge(ds1,ds5,by.x="a",by.y="c"))
# Note that the attributes of the left-hand variables
# have priority.
description(ds6)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.