Last data update: 2014.03.03

R: Read a Dendrogram from a Newick Formatted File
ReadDendrogramR Documentation

Read a Dendrogram from a Newick Formatted File

Description

Reads a dendrogram object from a file in Newick (also known as New Hampshire) parenthetic format.

Usage

ReadDendrogram(file,
               convertBlanks = TRUE,
               internalLabels = TRUE,
               keepRoot = TRUE)

Arguments

file

a connection object or a character string.

convertBlanks

Logical specifying whether to convert underscores in unquoted leaf labels to spaces.

internalLabels

Logical indicating whether to keep internal node labels as “edgetext” preceding the node in the dendrogram.

keepRoot

Logical specifying whether to keep the root node (if one is present) as a dendrogram leaf.

Details

ReadDendrogram will create a dendrogram object from a Newick formatted tree. Note that all edge lengths must be specified, but labels are optional.

Value

An object of class dendrogram.

Author(s)

Erik Wright DECIPHER@cae.wisc.edu

See Also

IdClusters, WriteDendrogram

Examples

tf <- tempfile()
dists <- matrix(c(0, 10, 20, 10, 0, 5, 20, 5, 0),
    nrow=3,
    dimnames=list(c("dog", "elephant", "horse")))
dend1 <- IdClusters(dists, method="NJ", asDendrogram=TRUE)
WriteDendrogram(dend1, file=tf)

dend2 <- ReadDendrogram(tf)
layout(matrix(1:2))
plot(dend1, main="Dendrogram Written")
plot(dend2, main="Dendrogram Read")

# Note that the ordering information is lost
any(unlist(dend1) != unlist(dend2)) # TRUE

unlink(tf)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(DECIPHER)
Loading required package: Biostrings
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: XVector
Loading required package: RSQLite
Loading required package: DBI
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/DECIPHER/ReadDendrogram.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ReadDendrogram
> ### Title: Read a Dendrogram from a Newick Formatted File
> ### Aliases: ReadDendrogram
> 
> ### ** Examples
> 
> tf <- tempfile()
> dists <- matrix(c(0, 10, 20, 10, 0, 5, 20, 5, 0),
+     nrow=3,
+     dimnames=list(c("dog", "elephant", "horse")))
> dend1 <- IdClusters(dists, method="NJ", asDendrogram=TRUE)
   |                                                                               |                                                                      |   0%   |                                                                               |==============================================                        |  66%   |                                                                               |======================================================================| 100%

Time difference of 0.01 secs

> WriteDendrogram(dend1, file=tf)
> 
> dend2 <- ReadDendrogram(tf)
> layout(matrix(1:2))
> plot(dend1, main="Dendrogram Written")
> plot(dend2, main="Dendrogram Read")
> 
> # Note that the ordering information is lost
> any(unlist(dend1) != unlist(dend2)) # TRUE
[1] TRUE
> 
> unlink(tf)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>