| MMSlidingWindow-class {MMSlidingWindow} | R Documentation |
This package provides an interpolation method that estimates the recombination rates using a sliding window approach.
Objects can be created by calls of the form new("MMSlidingWindow", ...) or using the method SlidingWindow().
size:"integer", the size of the windows in base pairs shift:"integer", the distance in number of base pairs between the centers of two consecutive windows. threshold:"integer" minimum number of markers in a window to perform the regression results:"vector" position of the model curve estimated at the center f each window. name:"character" see Interpolation-class color:"character" see Interpolation-class physicalPositions:"vector" see Interpolation-class rates:"vector" see Interpolation-class visible:"logical" see Interpolation-class persistent:"logical" see Interpolation-class
Class "Interpolation", directly.
signature(object = "MMSlidingWindow"): see Interpolation-class signature(object = "MMSlidingWindow", map = "MareyMap"): see Interpolation-class signature(object = "MMSlidingWindow"): see Interpolation-class signature(object = "MMSlidingWindow"): see Interpolation-class signature(object = "MMSlidingWindow", pos = "numeric"): see Interpolation-class signature(object = "MMSlidingWindow"): updates the value of the parameter shift signature(object = "MMSlidingWindow"): returns the value of the parameter shift signature(object = "MMSlidingWindow"): updates the value of the parameter size signature(object = "MMSlidingWindow"): returns the value of the parameter size signature(object = "MMSlidingWindow"): updates the value of the parameter threshold signature(object = "MMSlidingWindow"): returns the value of the parameter threshold signature(object = "MMSlidingWindow"): see Interpolation-class Clement Rezvoy <rezvoy@biomserv.univ-lyon1.fr>
~put references to the literature/web site here ~
data(mareymaps) human7 <- mareymaps[["Homo sapiens (deCODE)","Chromosome 07"]] library(MMSlidingWindow) itr1 <- MMSlidingWindow() color(itr1) <- "red" size(itr1) <- 5000000 shift(itr1) <- 1000000 human7 <- human7 + itr1 plot(human7)