Marr-class: the Marr class

In Ghoshlab/marr: Maximum rank reproducibility

Description

Objects of this class store needed information to work with a Marr object

Value

MarrSamplepairs returns the distribution of percent reproducible features (column-wise) per sample pair, MarrFeatures returns the distribution of percent reproducible sample pairs (row-wise) per feature, MarrSamplepairsfiltered returns the percent of reproducible features based on a threshold value and MarrFeaturesfiltered returns the percent of reproducible sample pairs based on a threshold value

Slots

MarrSamplepairs

Marr sample pairs

MarrFeatures

Marr features

MarrSamplepairsfiltered

Marr sample pairs post filtering

MarrFeaturesfiltered

Marr metabolites post filtering

MarrData

Original data object passed to Marr

MarrPSamplepairs

Value of pSamplepairs argument passed to Marr

MarrPFeatures

Value of pFeatures argument passed to Marr

MarrAlpha

Value of alpha argument passed to Marr

MarrFeatureVars

Value of featureVars passed to Marr. NULL if featureVars was left blank

Examples

data <- matrix(rnorm(2400), nrow=200, ncol=12)
data_Marr <- Marr(object = data, pSamplepairs=0.75,
                  pFeatures=0.75, alpha=0.05)

Ghoshlab/marr documentation built on Oct. 3, 2021, 3:20 p.m.