qdap (version 0.2.5)

cm_code.blank: Blank Code Transformation

Description

Transform codes with any binary operator combination.

Usage

cm_code.blank(x2long.obj, combine.code.list,
    rm.var = NULL, overlap = TRUE)

Arguments

x2long.obj

An object from cm_range2long, cm_time2long or cm_df2long.

combine.code.list

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

rm.var

Name of the repeated measures column.

overlap

logical, integer or character of binary operator + integer. If TRUE finds the overlap. If FALSE finds anywhere any of the codes occur. If integer finds that exact combination of overlaps. If character must be a log

Value

• Returns a dataframe with transformed occurrences of supplied overlapping codes added.

See Also

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

Examples

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="")
)


(x <- cm_range2long(foo))
(z <- cm_range2long(foo, foo2, v.name="time"))
cm_code.transform(x, overlap.code.list=list(AB=qcv(AA, BB)))
cm_code.transform(x, combine.code.list = list(ALL=qcv(AA, BB, CC)))
cm_code.transform(x, overlap.code.list=list(AB=qcv(AA, BB)),
    combine.code.list = list(ALL=qcv(AA, BB, CC)))
overlaps <- list(AB=qcv(AA, BB), ABC=qcv(AA, BB, CC))
cm_code.transform(z, overlaps, rm.var="time")
out1 <- cm_code.transform(z, overlaps,
   exclude.code.list=list(AABB_no_CC = qcv(AA, BB, CC)), rm.var="time")
head(out1, 10)
#WITH cm_time2long
x <- list(
    transcript_time_span = qcv(00:00 - 1:12:00),
    A = qcv(terms = "2.40:3.00, 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, 17.01")
)

y <- list(
    transcript_time_span = qcv(00:00 - 1:12:00),
    A = qcv(terms = "2.40:3.00, 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, 17.01")
)

dat <- cm_time2long(x, y)
head(dat, 10)
out2 <- cm_code.transform(dat, list(P=qcv(A, B), Q=qcv(B, C), R=qcv(A, B, C)),
    list(S=qcv(A, B), T=qcv(B, C), U=qcv(A, B, C)),
    list(ABnoC = qcv(A, B, C)), rm.var="variable")
head(out2, 10)