get_top_pattern: get top patterns from a slice of bronze-standard measurement

In oslerinhealth/baker: Bayesian Analysis Kit for Etiology Research

Description

get top patterns from a slice of bronze-standard measurement

Usage

get_top_pattern(BrS_dat, Y, case_status, n_pat, exclude_missing = TRUE)

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

## Not run: 

res <- get_top_pattern(data_nplcm$Mobs$MBS[[1]],data_nplcm$Y,1,30,FALSE)

## End(Not run)

oslerinhealth/baker documentation built on May 22, 2021, 12:05 p.m.