convertRowID | R Documentation |

To avoid to specify the duplicated row names against matrix, multiple aggregation rules are implemented.

convertRowID(input, rowID, LtoR, aggr.rule=c("sum", "mean", "large.mean", "large.var", "large.cv2"))

`input` |
A matrix filled with number (n * m). |

`rowID` |
A vector to specify the row names of input (length: n). |

`LtoR` |
A corresponding table to covert the row names of input as different type of IDs. (Left: current row names -> Right: new row names) |

`aggr.rule` |
The aggregation rule to change the row names of input and collapse/select the values, if the row names changed by LtoR are duplicated. sum: Collapses multiple row vectors by summation. mean: Collapses multiple row vectors by mean. large.mean: Select a vector having the largest mean in the duplicated vectors. large.var: Select a vector having the largest variance in the duplicated vectors. large.cv2: Select a vector having the largest CV2 in the duplicated vectors. |

`output` |
A matrix, in which the row names are changed, according to the aggregation rule user specified. |

`ctable` |
The corresponding table explaining the relationship between previous row names and changed row names of input. |

NA

input <- matrix(1:20, nrow=4, ncol=5) rowID <- c("A", "B", "C", "D") LtoR <- rbind( c("A", "3"), c("B", "2"), c("C", "4"), c("D", "7")) (input2 <- convertRowID(input, rowID, LtoR, "sum")) (input3 <- convertRowID(input, rowID, LtoR, "mean")) (input4 <- convertRowID(input, rowID, LtoR, "large.mean")) (input5 <- convertRowID(input, rowID, LtoR, "large.var")) (input6 <- convertRowID(input, rowID, LtoR, "large.cv2"))

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