cm_2long: A Generic to Long Function

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

Description

A wrapper for cm_df2long, cm_range2long, and cm_time2long that automatically detects the objects being read and outputs the correct form and class.

Usage

cm_2long(..., v.name = "variable", list.var = TRUE, debug = TRUE)

Arguments

v.name	An optional name for the column created for the list.var argument.
list.var	logical. If TRUE creates a column for the data frame created by each time.list passed to cm_t2l.
debug	logical. If TRUE debugging mode is on. cm_time2long will return possible errors in time span inputs.
...	list object(s) in the form generated by cm_df.temp, cm_range.temp, or cm_time.temp.

Value

Returns a long data.frame of the correct cm_XXX classes.

See Also

cm_df2long, cm_range2long, cm_time2long

Examples

## Not run: 
## cm_range2long use: 
foo <- list(
    person_greg = qcv(terms='7:11, 20:24, 30:33, 49:56'),
    person_researcher = qcv(terms='42:48'),
    person_sally = qcv(terms='25:29, 37:41'),
    person_sam = qcv(terms='1:6, 16:19, 34:36'),
    person_teacher = qcv(terms='12:15'),
    adult_0 = qcv(terms='1:11, 16:41, 49:56'),
    adult_1 = qcv(terms='12:15, 42:48'),
    AA = qcv(terms="1"),
    BB = qcv(terms="1:2, 3:10, 19"),
    CC = qcv(terms="1:9, 100:150")
)

foo2  <- list(
    person_greg = qcv(terms='7:11, 20:24, 30:33, 49:56'),
    person_researcher = qcv(terms='42:48'),
    person_sally = qcv(terms='25:29, 37:41'),
    person_sam = qcv(terms='1:6, 16:19, 34:36'),
    person_teacher = qcv(terms='12:15'),
    adult_0 = qcv(terms='1:11, 16:41, 49:56'),
    adult_1 = qcv(terms='12:15, 42:48'),
    AA = qcv(terms="40"),
    BB = qcv(terms="50:90"),
    CC = qcv(terms="60:90, 100:120, 150"),
    DD = qcv(terms="")
)

cm_2long(foo, foo2, v.name = "time")

## cm_time2long use: 
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")
)
cm_2long(x)

## cm_df2long use:
codes <- qcv(dc, sf, wes, pol, rejk, lk, azx, mmm)
x1 <- cm_df.temp(DATA, "state", codes)
#fill it randomly
x1[, 7:14] <- lapply(7:14,  function(i) sample(0:1, nrow(x1), TRUE))
out2 <- cm_2long(x1)
head(out2, 15)
plot(out2)

## End(Not run)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.