qdap (version 2.4.6)

cm_code.transform: Transform Codes

Description

Transform co-occurrences and/or combinations of codes into a new code(s).

Usage

cm_code.transform(
  x2long.obj,
  overlap.code.list = NULL,
  combine.code.list = NULL,
  exclude.code.list = NULL,
  rm.var = NULL
)

Value

Returns a dataframe with overlapping, combined occurrences, and/or exclusion of supplied overlapping codes added.

Arguments

x2long.obj

An object from cm_range2long, cm_time2long or cm_df2long.

overlap.code.list

A list of named character vectors of at least two code column names to aggregate co-occurrences.

combine.code.list

A list of named character vectors of at least two code column names to combine

exclude.code.list

A list of named character vectors of at least two code column names to compare and exclude. The last column name is the one that will be excluded.

rm.var

Name of the repeated measures column.

See Also

cm_range2long, cm_time2long, cm_df2long, cm_code.blank, cm_code.combine, cm_code.exclude, cm_code.overlap

Examples

if (FALSE) {
foo <- list(
    AA = qcv(terms="1:10"),
    BB = qcv(terms="1:2, 3:10, 19"),
    CC = qcv(terms="1:3, 5:6")
)

foo2  <- list(
    AA = qcv(terms="4:8"),
    BB = qcv(terms="1:4, 10:12"),
    CC = qcv(terms="1, 11, 15:20"),
    DD = qcv(terms="")
)

bar1 <- list(
    transcript_time_span = qcv(00:00 - 1:12:00),
    A = qcv(terms = "0.00:3.00, 5.01, 6.02:7.00, 9.00"),
    B = qcv(terms = "2.40, 3.01:3.02, 5.01, 6.02:7.00, 9.00,
        1.12.00:1.19.01"),
    C = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00, 16.25:17.01")
)

(x <- cm_range2long(foo))
(z <- cm_range2long(foo, foo2, v.name="time"))
(dat <- cm_time2long(bar1))

cm_code.transform(x, 
    overlap.code.list = list(ABC=qcv(AA, BB, CC)),
    combine.code.list = list(oABC=qcv(AA, BB, CC)), 
    exclude.code.list = list(ABnoC=qcv(AA, BB, CC))
)

cm_code.transform(z, 
    overlap.code.list = list(ABC=qcv(AA, BB, CC)),
    combine.code.list = list(oABC=qcv(AA, BB, CC)), 
    exclude.code.list = list(ABnoC=qcv(AA, BB, CC)), "time"
)

cm_code.transform(dat, 
    overlap.code.list = list(ABC=qcv(A, B, C)),
    combine.code.list = list(oABC=qcv(A, B, C)), 
    exclude.code.list = list(ABnoC=qcv(A, B, C))
)
}