memisc (version 0.99.27.3)

recode: Recode Items, Factors and Numeric Vectors

Description

recode substitutes old values of a factor or a numeric vector by new ones, just like the recoding facilities in some commercial statistical packages.

Usage

recode(x,…,
       copy=getOption("recode_copy",identical(otherwise,"copy")),
       otherwise=NA)
# S4 method for vector
recode(x,…,
    copy=getOption("recode_copy",identical(otherwise,"copy")),
    otherwise=NA)
# S4 method for factor
recode(x,…,
    copy=getOption("recode_copy",identical(otherwise,"copy")),
    otherwise=NA)
# S4 method for item
recode(x,…,
    copy=getOption("recode_copy",identical(otherwise,"copy")),
    otherwise=NA)

Arguments

x

An object

…

One or more assignment expressions, each of the form new.value <- old.values. new.value should be a scalar numeric value or character string. If one of the new.values is a character string, the return value of recode will be a factor and each new.value will be coerced to a character string that labels a level of the factor.

Each old.value in an assignment expression may be a (numeric or character) vector. If x is numeric such an assignment expression may have the form new.value <- range(lower,upper) In that case, values between lower and upper are exchanged by new.value. If one of the arguments to range is min, it is substituted by the minimum of x. If one of the arguments to range is max, it is substituted by the maximum of x.

In case of the method for labelled vectors, the tags of arguments of the form tag = new.value <- old.values will define the labels of the new codes.

If the old.values of different assignment expressions overlap, an error will be raised because the recoding is ambigous.

copy

logical; should those values of x not given an explicit new code copied into the resulting vector?

otherwise

a character string or some other value that the result may obtain. If equal to NA or "NA", original codes not given an explicit new code are recoded into NA. If equal to "copy", original codes not given an explicit new code are copied.

Value

A numerical vector, factor or an item object.

Details

recode relies on the lazy evaluation mechanism of R: Arguments are not evaluated until required by the function they are given to. recode does not cause arguments that appear in … to be evaluated. Instead, recode parses the … arguments. Therefore, although expressions like 1 <- 1:4 would cause an error action, if evaluated at any place elsewhere in R, they will not cause an error action, if given to recode as an argument. However, a call of the form recode(x,1=1:4), would be a syntax error.

If John Fox' package "car" is installed, recode will also be callable with the syntax of the recode function of that package.

See Also

recode of package "car".

Examples

# NOT RUN {
x <- as.item(sample(1:6,20,replace=TRUE),
        labels=c( a=1,
                  b=2,
                  c=3,
                  d=4,
                  e=5,
                  f=6))
print(x)

# A recoded version of x is returned
# containing the values 1, 2, 3, which are
# labelled as "A", "B", "C".
recode(x,
  A = 1 <- range(min,2),
  B = 2 <- 3:4,
  C = 3 <- range(5,max), # this last comma is ignored
  )

# This causes an error action: the sets
# of original values overlap.
try(recode(x,
  A = 1 <- range(min,2),
  B = 2 <- 2:4,
  C = 3 <- range(5,max)
  ))

recode(x,
  A = 1 <- range(min,2),
  B = 2 <- 3:4,
  C = 3 <- range(5,6),
  D = 4 <- 7
  )
  
# This results in an all-missing vector:
recode(x,
  D = 4 <- 7,
  E = 5 <- 8
  )

f <- as.factor(x)
x <- as.integer(x)

recode(x,
  1 <- range(min,2),
  2 <- 3:4,
  3 <- range(5,max)
  )

# This causes another error action:
# the third argument is an invalid
# expression for a recoding.
try(recode(x,
  1 <- range(min,2),
  3:4,
  3 <- range(5,max)
  ))

# The new values are character strings,
# therefore a factor is returned.
recode(x,
  "a" <- range(min,2),
  "b" <- 3:4,
  "c" <- range(5,6)
  )
  
recode(x,
  1 <- 1:3,
  2 <- 4:6
  )
  
recode(x,
  4 <- 7,
  5 <- 8,
  otherwise = "copy"
  )

recode(f,
  "A" <- c("a","b"),
  "B" <- c("c","d"),
  otherwise="copy"
  )

recode(f,
  "A" <- c("a","b"),
  "B" <- c("c","d"),
  otherwise="C"
  )
 
recode(f,
  "A" <- c("a","b"),
  "B" <- c("c","d")
  )

DS <- data.set(x=as.item(sample(1:6,20,replace=TRUE),
        labels=c( a=1,
                  b=2,
                  c=3,
                  d=4,
                  e=5,
                  f=6)))
print(DS)

DS <- within(DS,{
    xf <- recode(x,
                 "a" <- range(min,2),
                 "b" <- 3:4,
                 "c" <- range(5,6)
                 )
    xn <- x@.Data
    xc <- recode(xn,
                 "a" <- range(min,2),
                 "b" <- 3:4,
                 "c" <- range(5,6)
                 )
    xc <- as.character(x)
    xcc <- recode(xc,
                  1 <- letters[1:2],
                  2 <- letters[3:4],
                  3 <- letters[5:6]
                  )
})

DS

DS <- within(DS,{
    xf <- recode(x,
                 "a" <- range(min,2),
                 "b" <- 3:4,
                 "c" <- range(5,6)
                 )
    x1 <- recode(x,
                 1 <- range(1,2),
                 2 <- range(3,4),
                 copy=TRUE
                 )
    xf1 <- recode(x,
                 "A" <- range(1,2),
                 "B" <- range(3,4),
                 copy=TRUE
                 )
})
DS
codebook(DS)

DF <- data.frame(x=rep(1:6,4,replace=TRUE))
DF <- within(DF,{
    xf <- recode(x,
                 "a" <- range(min,2),
                 "b" <- 3:4,
                 "c" <- range(5,6)
                 )
    x1 <- recode(x,
                 1 <- range(1,2),
                 2 <- range(3,4),
                 copy=TRUE
                 )
    xf1 <- recode(x,
                 "A" <- range(1,2),
                 "B" <- range(3,4),
                 copy=TRUE
                 )
    xf2 <- recode(x,
                 "B" <- range(3,4),
                 "A" <- range(1,2),
                 copy=TRUE
                 )
})
DF
codebook(DF)

# }