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**metagenomeSeq**: Statistical analysis for sparse high-throughput sequencing**mergeTable**: Merge two tables

# Merge two tables

### Description

Merge two tables

### Usage

1 | ```
mergeTable(x, y)
``` |

### Arguments

`x` |
Table 1. |

`y` |
Table 2. |

### Value

Merged table

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- aggregateBySample: Aggregates a MRexperiment object or counts matrix to by a...
- aggregateByTaxonomy: Aggregates a MRexperiment object or counts matrix to a...
- biom2MRexperiment: Biom to MRexperiment objects
- calcNormFactors: Cumulative sum scaling (css) normalization factors
- calcPosComponent: Positive component
- calcShrinkParameters: Calculate shrinkage parameters
- calcStandardError: Calculate the zero-inflated log-normal statistic's standard...
- calculateEffectiveSamples: Estimated effective samples per feature
- calcZeroAdjustment: Calculate the zero-inflated component's adjustment factor
- calcZeroComponent: Zero component
- correctIndices: Calculate the correct indices for the output of...
- correlationTest: Correlation of each row of a matrix or MRexperiment object
- cumNorm: Cumulative sum scaling normalization
- cumNormMat: Cumulative sum scaling factors.
- cumNormStat: Cumulative sum scaling percentile selection
- cumNormStatFast: Cumulative sum scaling percentile selection
- doCountMStep: Compute the Maximization step calculation for features still...
- doEStep: Compute the Expectation step.
- doZeroMStep: Compute the zero Maximization step.
- exportMat: Export the normalized MRexperiment dataset as a matrix.
- exportStats: Various statistics of the count data.
- expSummary: Access MRexperiment object experiment data
- extractMR: Extract the essentials of an MRexperiment.
- filterData: Filter datasets according to no. features present in features...
- fitDO: Wrapper to calculate Discovery Odds Ratios on feature values.
- fitFeatureModel: Computes differential abundance analysis using a...
- fitLogNormal: Computes a log-normal linear model and permutation based...
- fitMultipleTimeSeries: Discover differentially abundant time intervals for all...
- fitPA: Wrapper to run fisher's test on presence/absence of a...
- fitSSTimeSeries: Discover differentially abundant time intervals using...
- fitTimeSeries: Discover differentially abundant time intervals
- fitZeroLogNormal: Compute the log fold-change estimates for the zero-inflated...
- fitZig: Computes the weighted fold-change estimates and t-statistics.
- getCountDensity: Compute the value of the count density function from the...
- getEpsilon: Calculate the relative difference between iterations of the...
- getNegativeLogLikelihoods: Calculate the negative log-likelihoods for the various...
- getPi: Calculate the mixture proportions from the zero model / spike...
- getZ: Calculate the current Z estimate responsibilities (posterior...
- isItStillActive: Function to determine if a feature is still active.
- libSize: Access sample depth of coverage from MRexperiment object
- libSize-set: Replace the library sizes in a MRexperiment object
- loadBiom: Load objects organized in the Biom format.
- loadMeta: Load a count dataset associated with a study.
- loadMetaQ: Load a count dataset associated with a study set up in a...
- loadPhenoData: Load a clinical/phenotypic dataset associated with a study.
- lungData: OTU abundance matrix of samples from a smoker/non-smoker...
- makeLabels: Function to make labels simpler
- mergeMRexperiments: Merge two MRexperiment objects together
- mergeTable: Merge two tables
- metagenomeSeq-deprecated: Depcrecated functions in the metagenomeSeq package.
- metagenomeSeq-package: Statistical analysis for sparse high-throughput sequencing
- mouseData: OTU abundance matrix of mice samples from a diet longitudinal...
- MRcoefs: Table of top-ranked features from fitZig or fitFeatureModel
- MRcounts: Accessor for the counts slot of a MRexperiment object
- MRexperiment2biom: MRexperiment to biom objects
- MRexperiment-class: Class "MRexperiment" - a modified eSet object for the data...
- MRfulltable: Table of top microbial marker gene from linear model fit...
- MRtable: Table of top microbial marker gene from linear model fit...
- newMRexperiment: Create a MRexperiment object
- normFactors: Access the normalization factors in a MRexperiment object
- normFactors-set: Replace the normalization factors in a MRexperiment object
- plotBubble: Basic plot of binned vectors.
- plotClassTimeSeries: Plot abundances by class
- plotCorr: Basic correlation plot function for normalized or...
- plotFeature: Basic plot function of the raw or normalized data.
- plotGenus: Basic plot function of the raw or normalized data.
- plotMRheatmap: Basic heatmap plot function for normalized counts.
- plotOrd: Plot of either PCA or MDS coordinates for the distances of...
- plotOTU: Basic plot function of the raw or normalized data.
- plotRare: Plot of rarefaction effect
- plotTimeSeries: Plot difference function for particular bacteria
- posteriorProbs: Access the posterior probabilities that results from analysis
- returnAppropriateObj: Check if MRexperiment or matrix and return matrix
- ssFit: smoothing-splines anova fit
- ssIntervalCandidate: calculate interesting time intervals
- ssPerm: class permutations for smoothing-spline time series analysis
- ssPermAnalysis: smoothing-splines anova fits for each permutation
- trapz: Trapezoidal Integration
- ts2MRexperiment: With a list of fitTimeSeries results, generate an...
- uniqueFeatures: Table of features unique to a group
- zigControl: Settings for the fitZig function