Learn R Programming

maanova (version 1.42.0)

Tools for analyzing Micro Array experiments

Description

Analysis of N-dye Micro Array experiment using mixed model effect. Containing analysis of variance, permutation and bootstrap, cluster and consensus tree.

Copy Link

Version

Monthly Downloads

54

Version

1.42.0

License

GPL (>= 2)

Maintainer

Keith Sheppard

Last Published

February 15th, 2017

Functions in maanova (1.42.0)

Fill in missing data

Statistical test for Microarray experiment

Fit ANOVA model for Micro Array experiment

Volcano plot for F test results

Plot grid-by-grid data comparison for arrays

Residual plot for Microarray Experiment

Write Micro Array data to a TAB delimited simple text file

Gene filter for dye-swap experiment

Data for a 18-array Affymetrix experiment

Build consensus tree out of bootstrap cluster result

View the layout of input data

Ratio intensity plot for 2-dye Microarray experiment

Rmaanova.version

Display the current version of the package

Subsetting Microarray data objects

Expression plot for selected genes

Pairwise comparison matrix

Figure of Merit

Read Microarray data

Summarize the matest result.

Clustering analysis for Microarray experiment

Generate FDR adjusted P values for F test result.

Kidney Data from CAMDA

maanova-internal

Internal maanova functions

transform.madata

Micro Array experiment data transformation

Variance component plot