cm_range2long(..., v.name = "variable", list.var = TRUE, debug = TRUE, object = NULL)
TRUE creates a column for the data frame
created by each time.list passed to cm_t2l.TRUE debugging mode is on.
cm_time2long will return possible errors in time span
inputs.cm_time.temp.cm_time.temp.Generates a data frame of start and end spans for each code.
Transforms the range coding structure(s) from cm_range.temp (in list format) into a data frame of start and end durations in long format.
Miles, M. B. & Huberman, A. M. (1994). An expanded sourcebook: Qualitative data analysis. 2nd ed. Thousand Oaks, CA: SAGE Publications.
## <strong>Not run</strong>: # 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="") # ) # # ## General ldots Approach # (dat <- cm_range2long(foo, foo2, v.name = "time")) # plot(dat) # # ## Specify `object` Approach # cm_range2long(object=list(foo=foo)) # cm_range2long(object=list(foo=foo, foo2=foo2), v.name="time") # cm_range2long(object=list(a=foo, b=foo2), v.name="time") # ## <strong>End(Not run)</strong>
cm_df2long,
cm_time.temp,
cm_df.transcript