cm_code.exclude(x2long.obj, exclude.code.list, rm.var = NULL)
cm_range2long,
cm_time2long or cm_df2long.Returns a dataframe with n codes excluding the nth code.
Find the occurrences of n codes excluding the nth code. For example you have times/words coded for a teacher and you also have times/words coded for happiness. You can find all the happiness times excluding the teacher times or vice versa.
The code column must be named "code" and your start and end
columns must be named "start" and "end".
## <strong>Not run</strong>: # 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.exclude(x, list(ABnoC=qcv(AA, BB, CC))) # cm_code.exclude(z, list(ABnoC=qcv(AA, BB, CC)), rm.var="time") # excludes <- list(AnoB=qcv(AA, BB), ABnoC=qcv(AA, BB, CC)) # (a <- cm_code.exclude(z, excludes, rm.var="time")) # plot(a) # # #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) # cm_code.exclude(dat, list(P=qcv(A, B), Q=qcv(B, C), R=qcv(A, B, C)), # rm.var = "variable") # ## <strong>End(Not run)</strong>
cm_range2long,
cm_time2long,
cm_df2long,
cm_code.blank,
cm_code.combine,
cm_code.overlap,
cm_code.transform