| plot_logORmat {baker} | R Documentation |
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 |
pathogen_display |
The pathogen vector in desired order for display.
It can be of larger length than that of |
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]]))