View source: R/subset.lineupdist.R

subset.lineupdist | R Documentation |

Pull out a specified set of rows and columns from a distance matrix
calculated by `distee()`

or `disteg()`

.

## S3 method for class 'lineupdist' subset(x, rows = NULL, cols = NULL, ...) ## S3 method for class 'lineupdist' x[rows = NULL, cols = NULL]

`x` |
A distance matrix object as obtained from |

`rows` |
Optional vector of selected rows. |

`cols` |
Optional vector of selected columns. |

`...` |
Ignored at this point. |

The input distance matrix object, but with only the specified subset of the data.

Karl W Broman, broman@wisc.edu

`disteg()`

, `distee()`

, `pulldiag()`

data(expr1, expr2) # find samples in common id <- findCommonID(expr1, expr2) # calculate correlations between cols of x and cols of y thecor <- corbetw2mat(expr1[id$first,], expr2[id$second,]) expr1s <- expr1[,thecor > 0.8]/1000 expr2s <- expr2[,thecor > 0.8]/1000 # calculate correlations among samples d <- distee(expr1s, expr2s, d.method="cor") # pull out distances for samples 24, 92, 44, 66 samp <- c("24", "92", "44", "66") d[samp, samp]

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