two_stage_plot: Plotting clustered ratio-estimates

In cnfoley/mrclust: Identifying Clustered Heterogeneity in Mendelian Randomization Analyses

Description

Plot of the two-stage regression estimates, i.e. G-X and G-Y associations, annotated with cluster allocation labels and cluster mean estimates.

Usage

two_stage_plot(res, bx, by, bxse, byse, obs_names)

Arguments

res	table of results from mr_clust_em$results$best.
bx	numeric vector of length the number of variants, the i-th element is the estimated regression coefficient - i.e. beta-x value - relating the i-th genetic variant to the risk-factor.
by	numeric vector of length the number of variants, the i-th element is the estimated regression coefficient - i.e. beta-y value - relating the -th genetic variant to the outcome.
bxse	numeric vector of length the number of variants, the i-th element is the standard error of the estimated regression coefficient relating the i-th genetic variant to the outcome.
byse	numeric vector of length the number of variants, the i-th element is the standard error of the estimated regression coefficient relating the i-th genetic variant to the risk-factor.
obs_names	character vector of length the number of variants, the i-th element is the name of the i-th genetic variants - e.g. the rsID.

Value

Returned is a scatter plot of the two-stage association estimates for each variant in which: clusters are colour coded and variants with larger assignement/inclusion probabilities appear larger.

cnfoley/mrclust documentation built on Oct. 20, 2021, 2:10 p.m.