Metabolite-class        The Metabolite class
QC_pipeline             quality control pipeline
QCmatrix_norm           QCmatrix normalization
RSD                     RSD
assayData               get assayData
assayData<-             set assayData
batch_norm              batch normalization
bridge                  bridge different data sets based on conversion
                        factors
column_missing_rate     column missing rate
correlation             correlation of features between two Metabolite
                        objects
create_Metabolite       Create a Metabolite object
df_plasma               Example data.
featureData             get featureData
featureData<-           set featureData
filter_column_constant
                        filter columns if values are constant
filter_column_missing_rate
                        filter columns using missing rate
filter_row_missing_rate
                        filter rows using missing rate
fit_lm                  available regression methods
impute                  impute missing values
inverse_rank_transform
                        rank-based inverse normal transformation
is_outlier              is outlier
load_data               Load metabolite data from three separate files
load_excel              Load metabolite data from an excel file
merge_data              merge two Metabolite objects
modelling_norm          LOESS normalization
nearestQC_norm          nearest QC sample normalization
outlier_rate            outlier rate
pareto_scale            pareto scale transformation
plot_Metabolite         plot a Metabolite object
plot_PCA                plot PCA
plot_ROC                ROC
plot_UMAP               Plot UMAP
plot_injection_order    injection order scatterplot
plot_tsne               plot tSNE
plot_volcano            volcano plot for regression results
regression              regression analysis
replace_outlier         change outlier values as NA or winsorize
row_missing_rate        row missing rate
run_PCA                 Principal Components Analysis
sampleData              get sampleData
sampleData<-            set sampleData
save_data               Save metabolite data
show,Metabolite-method
                        Print a Metabolite class object
subset                  subset a Metabolite object.
transformation          apply transformation to a Metabolite object
update_Metabolite       Update a Metabolite object
