makeLabels: Function to make labels simpler

In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

Description

Beginning to transition to better axes for plots

Usage

makeLabels(x = "samples", y = "abundance", norm, log)

Arguments

x	string for the x-axis
y	string for the y-axis
norm	is the data normalized?
log	is the data logged?

Value

vector of x,y labels

Examples

metagenomeSeq::makeLabels(norm=TRUE,log=TRUE) 

Example output

Loading required package: Biobase
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, sd, var, xtabs

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

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colMeans, colSums, 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, rowMeans, rowSums, rownames, sapply,
    setdiff, sort, table, tapply, union, unique, unsplit, which,
    which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: limma

Attaching package: 'limma'

The following object is masked from 'package:BiocGenerics':

    plotMA

Loading required package: glmnet
Loading required package: Matrix
Loading required package: foreach
Loaded glmnet 2.0-12

Loading required package: RColorBrewer
[1] " samples"                   " Log2 normalized abundance"

metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.