Description Details Author(s) Examples

MDSmap provides functions for estimating genetic linkage maps for markers from a single linkage group from pairwise intermarker map distances using the Haldane or Kosambi map function; or recombination fractions. It either uses constrained weighted metric multidimensional scaling (cMDS) in 2 dimensions or unconstrained weighted metric multidimensional scaling (MDS) followed by fitting a principal curve (PC) in either 2 or 3 dimensions. Pairwise distances can be weighted either by the LOD score or LOD2. There are functions for diagnostic plots, estimating the difference between the observed and estimated difference between points and their nearest informative neighbour, which may be useful in deciding which weights to use and also for testing estimated maps against a map estimated externally.

The main top level functions to use: `calc.maps.pc`

and
`calc.maps.sphere`

, and use `plot.pcmap`

,
`plot.spheremap`

or `plot.pcmap3d`

to visualize
the result.

Katharine F. Preedy <[email protected]>

1 2 3 | ```
map<-calc.maps.pc(system.file("extdata", "lgV.txt", package="MDSMap"),
ndim=2,weightfn='lod2',mapfn='kosambi')
plot(map)
``` |

MDSMap documentation built on Aug. 10, 2018, 1:04 a.m.

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