forest_plot: Forest plot

In lschen-stat/ofGEM: A Meta-Analysis Approach with Filtering for Identifying Gene-Level Gene-Environment Interactions with Genetic Association Data

Description

It makes a forest plot for gene-environment interactions (GxE) across multiple sub-studies for all the SNPs in a set (e.g., a gene).

Usage

forest_plot(coef, se, sort = TRUE, exp = FALSE)

Arguments

coef	a matrix contains the GxE effect sizes. Each row corresponds to a SNP in a set, and each column represents a study. If the matrix has colnames and/or rownames for SNPs and studies respectively, they will be used as labels in the forest plot.
se	a matrix contains the standard errors for the GxE effect estimates. Each row corresponds to a SNP in a set, and each column represents a study.
sort	logical. If TRUE, the SNPs are sorted by averaged effect sizes across different studies. The default is TRUE.
exp	logical. If TRUE, coef will be exponentiated. This option is mainly used for log odds ratios obtained from logistic regressions. The default is FALSE.

Value

A forest plot across multiple sub-studies for all the SNPs in a set (e.g., a gene).

Examples

coef = matrix(rnorm(6 * 6), 6, 6)
se = matrix(abs(runif(6 * 6, 0.1, 0.15)), 6, 6)

forest_plot(coef, se)

lschen-stat/ofGEM documentation built on May 14, 2019, 11:28 a.m.