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@@ -5,8 +5,8 @@ |
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\title{Calculate Differential Heterogeneity} |
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\usage{ |
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diffHet(compare.matrix, value, group1, group2, subtype, |
8 |
- het.dif.cutoff = 0.2, permutations = 1000, p.adjust.method = "fdr", |
|
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- cores = 5) |
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+ het.dif.cutoff = 0.2, permutations = 1000, permutationtest = FALSE, |
|
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+ p.adjust.method = "fdr", cores = 5) |
|
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} |
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\arguments{ |
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\item{compare.matrix}{The comparison matrix generated from |
... | ... |
@@ -35,6 +35,10 @@ to NA. (default: 0.20)} |
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EntropyExplorer function. Value must be set to 'shannon'. |
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(default: 1000)} |
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|
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+\item{permutationtest}{boolean values determining if the permutation test is |
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+applied for DEH loci identification based on customized heterogeneity metrics |
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+(default: FALSE)} |
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+ |
|
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\item{p.adjust.method}{The method to be used as a parameter in |
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p.adjust() function. Possible methods are 'holm', 'hochberg', |
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'hommel', 'bonferroni', 'BH', 'BY', 'fdr', and 'none'.(default: 'fdr')} |
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\alias{diffHet} |
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\title{Calculate Differential Heterogeneity} |
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\usage{ |
7 |
-diffHet(compare.matrix, value, group1, group2, subtype, het.dif.cutoff = 0.2, |
|
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- permutations = 1000, p.adjust.method = "fdr", cores = 5) |
|
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+diffHet(compare.matrix, value, group1, group2, subtype, |
|
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+ het.dif.cutoff = 0.2, permutations = 1000, p.adjust.method = "fdr", |
|
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+ cores = 5) |
|
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} |
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\arguments{ |
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\item{compare.matrix}{The comparison matrix generated from |
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new file mode 100755 |
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@@ -0,0 +1,56 @@ |
1 |
+% Generated by roxygen2: do not edit by hand |
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+% Please edit documentation in R/diffHet.R |
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+\name{diffHet} |
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+\alias{diffHet} |
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+\title{Calculate Differential Heterogeneity} |
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+\usage{ |
|
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+diffHet(compare.matrix, value, group1, group2, subtype, het.dif.cutoff = 0.2, |
|
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+ permutations = 1000, p.adjust.method = "fdr", cores = 5) |
|
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+} |
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+\arguments{ |
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+\item{compare.matrix}{The comparison matrix generated from |
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+the compMatrix() function} |
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+ |
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+\item{value}{The value to be used in calculations. Possible |
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+values are 'read', 'pdr', 'meth', 'epipoly', and 'shannon'} |
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+ |
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+\item{group1}{The first subtype group to be compared} |
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+ |
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+\item{group2}{The second subtype group to be compared} |
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+ |
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+\item{subtype}{A dataframe containing the subtype information |
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+for the samples in the comparison matrix. The row names should |
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+be the names of the samples and there should be one column |
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+containing the subtype information for each sample.} |
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+ |
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+\item{het.dif.cutoff}{A number representing the cutoff |
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+for the heterogeneity difference. If the heterogeneity difference is greater |
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+than the cutoff value, than the p-value and adjusted p-value are |
|
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+calculated for the loci. If the heterogeneity difference is less than |
|
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+the cutoff value, than the p-value and adjusted p-value are set |
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+to NA. (default: 0.20)} |
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+ |
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+\item{permutations}{The number of permutations for the |
|
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+EntropyExplorer function. Value must be set to 'shannon'. |
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+(default: 1000)} |
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+ |
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+\item{p.adjust.method}{The method to be used as a parameter in |
|
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+p.adjust() function. Possible methods are 'holm', 'hochberg', |
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+'hommel', 'bonferroni', 'BH', 'BY', 'fdr', and 'none'.(default: 'fdr')} |
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+ |
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+\item{cores}{The number of cores to be used for parallel execution. |
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+Not available for 'shannon' values. (default: 5)} |
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+} |
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+\value{ |
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+A dataframe containing chromosome number, loci, mean of |
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+group1, mean of group2, heterogeneity difference, and the p-value and |
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+adjusted p-value for the loci with a heterogeneity difference greater |
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+than the cutoff |
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+} |
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+\description{ |
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+From a user-inputted value and two subtype groups, |
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+calculates the mean values for both subtypes at each |
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+loci. The heterogeneity difference is calculated and the p-values |
|
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+and adjusted p-values are calculated if the heterogeneity |
|
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+difference is greater than a given cutoff |
|
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+} |