hist_scores: Plots the distribution of scores following an GOexpress...
In GOexpress: Visualise microarray and RNAseq data using gene ontology annotations

Description Usage Arguments Value Author(s) See Also Examples

Plots the an histogram representing the frequencies of scores in the output variable of the GO_analyse() function.

This function can also be used on the output of subset_scores() function as it returns a value formatted identically to the output of the GO_analyse() function.

hist_scores(result,
            main=paste("Distribution of average scores in",
                        deparse(substitute(result))),
            xlab="Average score", ...)

`result`	The output of the `GO_analyse()` function.
`main, xlab`	These arguments to title have useful defaults here.
`...`	Additional arguments passed on to `hist()`.

Returns the output of the hist() function.

Kevin Rue-Albrecht

Method hist, and GO_analyse.

# load the sample output data with p.values computed
data(AlvMac_results.pVal)

# Histogram of scores (labelled with counts)
hist_scores(result=AlvMac_results, breaks=20, labels=TRUE)

# filter for Biological Processes associated with 5+ genes and <=0.05 P-value
filtered_results <- subset_scores(
    result=AlvMac_results.pVal, total_count=5, p.val=0.05,
    namespace="BP")

# Histogram of scores (labelled with counts)
hist_scores(result=filtered_results, breaks=20, labels=TRUE)

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