confounders_lsq_barchart {structToolbox} | R Documentation |
plots a barchart of the percent change when including a confounding factor in a classical least squares model
confounders_lsq_barchart(feature_to_plot, threshold = 10, ...)
feature_to_plot |
the name or index of the feature to be plotted |
threshold |
the threshold to be plotted (in %) |
... |
additional slots and values passed to struct_class |
A STRUCT chart object
struct 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('sample_order','batch')) M = model_apply(M,D) C = C=confounders_lsq_barchart(feature_to_plot=1,threshold=15) chart_plot(C,M[3])