cm_time2long(..., 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 dataframe of start and end times for each code.
Transforms the range coding structure(s) from cm_time.temp
(in list format) into a data frame of start and end times 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>: # 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") # ) # (dat <- cm_time2long(x)) # plot(dat) # # bar1 <- 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, 16.25:17.01") # ) # # bar2 <- 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") # ) # # ## General ldots Approach # cm_time2long(bar1) # cm_time2long(bar1, bar2, v.name="time") # # ## Specify `object` Approach # cm_time2long(object=list(bar1=bar1)) # cm_time2long(object=list(bar1=bar1, bar2=bar2), v.name="time") # cm_time2long(object=list(a=bar1, b=bar2), v.name="time") # ## <strong>End(Not run)</strong>