Description Usage Arguments Value See Also Examples
get top patterns from a slice of bronze-standard measurement
1 | get_top_pattern(BrS_dat, Y, case_status, n_pat, exclude_missing = TRUE)
|
BrS_dat |
bronze-standard data, which is usually |
Y |
A vector of case/control status: 1 for case; 0 for control |
case_status |
1 for case; 0 for controls |
n_pat |
the number of top patterns one wants to show |
exclude_missing |
DEFAULT is TRUE for excluding any individual with missing measurements. |
a list of results: obs_pat
- observed rates;
pattern_names
; exist_other
- if
actual no. of patterns is larger than n_pat
; N
- No. of individuals
with Y = case_status
.
Other exploratory data analysis functions:
plot_logORmat()
,
show_individual()
,
summarize_BrS()
,
summarize_SS()
,
visualize_season()
1 2 3 4 5 | ## Not run:
res <- get_top_pattern(data_nplcm$Mobs$MBS[[1]],data_nplcm$Y,1,30,FALSE)
## End(Not run)
|
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