plot_logORmat function

Visualize pairwise log odds ratios (LOR) for data that are available in both cases and controls

plot_logORmat(data_nplcm, pathogen_display, BrS_slice = 1, logOR_rounding = 2)

Arguments

• data_nplcm: See assign_model().
• pathogen_display: The pathogen vector in desired order for display. It can be of larger length than that of pathogen_BrS.
• BrS_slice: Default is 1 - the set of BrS data to visualize.
• logOR_rounding: Rounding number of the log odds ratio. Default is 2.

Returns

Figure of LOR matrix and relevant s.e. and significance information.

Details

plot_logORmat visualizes a matrix of pairwise log odds ratios (LOR) for cases (upper) and controls (lower). LOR is at the top of the cell. Below it, its standard error is in smaller type, using the same color as the LOR. Then the estimate is divided by its standard error. We put the actual value when the Z-statistics has an absolute value greater than $2$; a plus (red) or minus (blue) if between $1$ and $2$; blank otherwise.

Examples

data(data_nplcm_noreg)
plot_logORmat(data_nplcm_noreg,names(data_nplcm_noreg$Mobs$MBS[[1]]))

See Also

Other exploratory data analysis functions: get_top_pattern(), show_individual(), summarize_BrS(), summarize_SS(), visualize_season()