View source: R/confounders_clsq_class.R
A boxplot of the relative change (delta) in regression coefficient when potential confounding factors are included, and excluded, from the model. Factors with a large delta are considered to be confounding factors.
confounders_lsq_boxplot(threshold = 10, ...)
(numeric) A horizontal line is plotted to indicate the threshold. The default is
Additional slots and values passed to
object. This object has no
chart_plot in the
struct package to plot this chart object.
D = MTBLS79_DatasetExperiment() M = filter_by_name(mode='include',dimension='variable', names=colnames(D$data)[1:10]) + # first 10 features filter_smeta(mode='exclude',levels='QC', factor_name='Class') + # reduce to two group comparison confounders_clsq(factor_name = 'Class', confounding_factors=c('run_order','Batch')) M = model_apply(M,D) C = C=confounders_lsq_boxplot(threshold=15) chart_plot(C,M)
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