Development of visualization methods for quality control


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Documentation for package ‘visualizationQualityControl’ version 0.5.1

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calculate_fratio calculate F-ratio
calc_sd_rsd calculate values from summaries
calc_sd_rsd_nls calculate values from summaries v2
count_matching_features matching features
determine_outliers determine outliers
filter_non_zero_percentage keep features with percentage of non-zeros
generate_group_colors create set of disjoint colors
grp_cor 10 sample to sample correlations
grp_cor_data grp_cor_data
grp_exp_data grp_exp_data
grp_info 10 sample meta-data
keep_non_missing_percentage keep features with percentage of non-missing
keep_non_zero_percentage keep features with percentage of non-zeros
median_class_correlations calculate median class correlations
median_correlations calculate median correlations
outlier_fraction fraction of outliers
similarity_reorder cluster and reorder
similarity_reorderbyclass reorder by sample class
split_groups split groups
summarize_data summarize data
visqc_cor_pca_scores correlate scores and outcome
visqc_heatmap easier heatmaps
visqc_score_contributions calculate pca contributions
visqc_test_pca_loadings test loadings
visqc_test_pca_scores test scores and outcome