summaryComparison: summarize the model comparison results
In chenlab-sj/nbid: Differential expression analysis using negative binomial with independent dispersions (NBID)
Description
Usage
Arguments
Value
Examples
View source: R/checkGeneCountDistribution.R
Description
This function summarizes the results and count the number of models that are
selected for each gene. The selection criterion can be hypothesis testing
based, or AIC based.
Usage
1
summaryComparison(result)
Arguments
result
Value
a list of two components:
modelCount: summarized count of best fitted models
modelStats: the FDR and p-values of hypothesis testing results
Examples
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## Not run:
gene1 = rnbinom(100, size = 0.1, mu = 0.1)
gene2 = rpois(100, lambda = 0.1)
data = rbind(gene1, gene2)
groups = rep(1, 100)
countPerCell = rep(1e4, 100)
fitResult = checkDataDistribution(data, groups, countPerCell)
summaryResult = summaryComparison(fitResult)
print(summaryResult)
## End(Not run)
chenlab-sj/nbid documentation built on Nov. 4, 2019, 8:50 a.m.
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Description Usage Arguments Value Examples
View source: R/checkGeneCountDistribution.R
Description
This function summarizes the results and count the number of models that are selected for each gene. The selection criterion can be hypothesis testing based, or AIC based.
Usage
1 | summaryComparison(result)
|
Arguments
result |
Value
a list of two components: modelCount: summarized count of best fitted models modelStats: the FDR and p-values of hypothesis testing results
Examples
1 2 3 4 5 6 7 8 9 10 11 | ## Not run:
gene1 = rnbinom(100, size = 0.1, mu = 0.1)
gene2 = rpois(100, lambda = 0.1)
data = rbind(gene1, gene2)
groups = rep(1, 100)
countPerCell = rep(1e4, 100)
fitResult = checkDataDistribution(data, groups, countPerCell)
summaryResult = summaryComparison(fitResult)
print(summaryResult)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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