R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Data Type

Packages
Functions
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Classification

Results 1 - 10 of 25 found.
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trellisByGene (Package: MCMC.qpcr) :

For each gene, plots model-predicted values and 95% credible intervals.

● Data Source: CranContrib
● Keywords:
● Alias: trellisByGene
● 1 images

mcmc.converge.check (Package: MCMC.qpcr) :

A wrapper function for plot.MCMCglmm to plot diagnostic convergence plots for selected fixed effects

● Data Source: CranContrib
● Keywords:
● Alias: mcmc.converge.check
● 0 images

mcmc.qpcr (Package: MCMC.qpcr) :

Wrapper function for MCMCglmm by Jarrod Hadfield, designed for qRT-PCR data analysis.

● Data Source: CranContrib
● Keywords:
● Alias: mcmc.qpcr
● 1 images

cq2counts (Package: MCMC.qpcr) :

Converts Cq values into molecule counts, and stacks the dataset

● Data Source: CranContrib
● Keywords:
● Alias: cq2counts
● 0 images

mcmc.pval (Package: MCMC.qpcr) :

Accessory function to HPD... function series

● Data Source: CranContrib
● Keywords:
● Alias: mcmc.pval
● 0 images

outlierSamples (Package: MCMC.qpcr) :

reports samples that have too little starting material relative to others (by default, less by two standard deviations)

● Data Source: CranContrib
● Keywords:
● Alias: outlierSamples
● 0 images

MCMC.qpcr-package (Package: MCMC.qpcr) :

This package implements generalized linear mixed model analysis of qRT-PCR data so that the increase of variance towards higher Ct values is properly dealt with, and the lack of amplification is informative (function mcmc.qpcr). Sample-loading effects, gene-specific variances, and responses of all genes to each factor combination are all jointly estimated within a single model. The control genes can be specified as priors, with adjustable degree of expected stability. The analysis also works well without any control gene specifications.

● Data Source: CranContrib
● Keywords: package
● Alias: MCMC.qpcr
● 1 images

getNormalizedData (Package: MCMC.qpcr) :

Generates a table of model-derived log2-transformed transcript abundances without global sample effects (i.e., corresponding to efficiency-corrected and normalized qPCR data)

● Data Source: CranContrib
● Keywords:
● Alias: getNormalizedData
● 1 images

summaryPlot (Package: MCMC.qpcr) :

This function is called automatically by HPDsummary() and also can be used separately to plot the results produced by HPDsummary() with more plotting options

● Data Source: CranContrib
● Keywords:
● Alias: summaryPlot
● 0 images

softNorm (Package: MCMC.qpcr) :

adds a fake NORM gene with counts equal to geometric mean of conrtol genes, removes control genes from the dataset

● Data Source: CranContrib
● Keywords:
● Alias: softNorm
● 0 images