View source: R/cm_code.overlap.R
cm_code.overlap | R Documentation |
Combine co-occurrences of codes into a new code.
cm_code.overlap(x2long.obj, overlap.code.list, rm.var = NULL)
x2long.obj |
An object from |
overlap.code.list |
A list of named character vectors of at least two code column names to aggregate co-occurrences. |
rm.var |
Name of the repeated measures column. |
Returns a dataframe with co-occurrences of supplied overlapping codes added.
The code column must be named code and your start and end columns must
be named "start"
and "end"
.
cm_range2long
,
cm_time2long
,
cm_df2long
,
cm_code.combine
,
cm_code.transform
## 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="")
)
(x <- cm_range2long(foo))
(z <- cm_range2long(foo, foo2, v.name="time"))
cm_code.overlap(x, list(AB=qcv(AA, BB)))
cm_code.overlap(x, list(ALL=qcv(AA, BB, CC)))
combines <- list(AB=qcv(AA, BB), ABC=qcv(AA, BB, CC))
(a <- cm_code.overlap(z, combines, "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)
out <- cm_code.overlap(dat, list(P=qcv(A, B), Q=qcv(B, C), R=qcv(A, B, C)),
rm.var="variable")
head(out, 10)
## End(Not run)
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