get top patterns from a slice of bronze-standard measurement
Arguments
- BrS_dat
bronze-standard data, which is usually
data_nplcm$Mobs$MBS[[1]]- 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.
Value
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.
See also
Other exploratory data analysis functions:
plot_logORmat(),
show_individual(),
summarize_BrS(),
summarize_SS(),
visualize_season()
Examples
data(data_nplcm_noreg)
get_top_pattern(data_nplcm_noreg$Mobs$MBS[[1]],data_nplcm_noreg$Y,1,5,FALSE)
#> $obs_pat
#> 100000 001000 101000 110000 010000 other
#> 0.22666667 0.08666667 0.08666667 0.06666667 0.06333333 0.47000000
#>
#> $pattern_names
#> [1] "100000" "001000" "101000" "110000" "010000" "other"
#>
#> $exist_other
#> [1] TRUE
#>
#> $N
#> [1] 300
#>
data(data_nplcm_noreg)
get_top_pattern(data_nplcm_noreg$Mobs$MBS$MBS1,data_nplcm_noreg$Y,case_status=1,n_pat=5)
#> $obs_pat
#> 100000 001000 101000 110000 010000 other
#> 0.22666667 0.08666667 0.08666667 0.06666667 0.06333333 0.47000000
#>
#> $pattern_names
#> [1] "100000" "001000" "101000" "110000" "010000" "other"
#>
#> $exist_other
#> [1] TRUE
#>
#> $N
#> [1] 300
#>