plot_logORmat: Visualize pairwise log odds ratios (LOR) for data that are...

In zhenkewu/baker: "Nested Partially Latent Class Models"

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

Description

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

Usage

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.

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.

Value

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

See Also

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

Examples

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

zhenkewu/baker documentation built on May 6, 2024, 11:19 p.m.