cm_code.blank: Blank Code Transformation

In qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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 logical vector c(>, <, =<, =>, ==, !=) followed by an integer and wrapped with quotes.

Value

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

Note

For most jobs cm_code.transform will work. This adds a bit of flexibility in exclusion and partial matching. The code column must be named "code" and your start and end columns must be named "start" and "end".

See Also

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

Examples

## Not run: 
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="")
)

## Single occurrence version
(x <- cm_range2long(foo))

cm_code.blank(x, combine.code.list = list(ABC=qcv(AA, BB, CC)),
    overlap = "!=1")

## Repeated measures version
(z <- cm_range2long(foo, foo2, v.name="time"))

cm_code.blank(z, combine.code.list = list(ABC=qcv(AA, BB, CC)),
    rm.var = "time", overlap = "!=1")

cm_code.blank(z, combine.code.list = list(AB=qcv(AA, BB)),
    rm.var = "time", overlap = TRUE)

cm_code.blank(z, combine.code.list = list(AB=qcv(AA, BB)),
    rm.var = "time", overlap = FALSE)

cm_code.blank(z, combine.code.list = list(AB=qcv(AA, BB)),
    rm.var = "time", overlap = ">1")

cm_code.blank(z, combine.code.list = list(AB=qcv(AA, BB)),
    rm.var = "time", overlap = "==2")

## Notice `overlap = "==2"` above is identical to `cm_code.overlap`
cm_code.overlap(z, overlap.code.list = list(AB=qcv(AA, BB)),
    rm.var = "time")


#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, v.name="time")
head(dat, 10)
out <- cm_code.blank(dat, combine.code.list = list(ABC=qcv(A, B, C)),
    rm.var = "time", overlap = "!=1")

head(out)
plot(out)

## End(Not run)

qdap documentation built on May 31, 2023, 5:20 p.m.