Bootstrap-class {kimod} | R Documentation |
Bootstrap
: Bootstrap S4 class (kimod: k-tables approach to integrate multiple Omics-Data
Multiple dataset)Bootstrap to DiStatis object.
Bootstrap Implementation
Confidence Intervals from Bootstrap implementation
Plotting Bootstrap
Ratios.Boot Ratios (with Bonferroni Correction for all observations in compromise from all dimensions)
Comparisions.Boot Comparision (difference between observations) from all dimensions
Elipses.Boot List of all projections from the elipses plot.
Stability.Boot Bootstrap Stability
QRO.Boot Rpresentation Quality of observations (Bootstrap)
EigValues.Boot confidence interval for eigenvalues (from SVD Compromise)
Inertia.Boot confidence interval for inertia(
Ratios.Boot(x)
, Ratios.Boot(x) <- value
: Ratios (with Bonferroni Correction for all observations in compromise from all dimensions)
Comparisions.Boot(x)
, Comparisions.Boot(x) <- value
: Comparision (difference between observations) from all dimensions.
Elipses.Boot(x)
, Elipses.Boot(x) <- value
:List of all projections from the elipses plot.
Stability.Boot(x)
, Stability.Boot(x) <- value
: Bootstrap Stability.
QRO.Boot(x)
, QRO.Boot(x) <- value
: Representation Quality of observations (Bootstrap)
EigValues.Boot(x)
, EigValues.Boot(x) <- value
: confidence interval for eigenvalues (from SVD Compromise)
Inertia.Boot(x)
, Inertia.Boot(x) <- value
: confidence interval for inertia(%) of all dimensions (from SVD Compromise).
Basic output for Bootstrap class
Basic statistics for Bootstrap class
Getters for their respective slots.
M L Zingaretti, J A Demey-Zambrano, J L Vicente Villardon, J R Demey
Efron, B.,Tibshirani, RJ. (1993). An introduction to the bootstrap. New York: Chapman and Hall. 436p.
Ringrose, T.J. (1992). Bootstrapping and Correspondence Analysis in Archaeology. Journal of Archaeological. Science.19:615-629.
showClass("Bootstrap")