## Statistics / Test proportions

### Description

Tests the null hypothesis that two proportions are equal. The test only apply to oportions in dichotomized data.)
### Parameters

- column [group]
- Method of multiple testing correction (none, Bonferroni, Holm, Hochberg, BH, BY) [BH]
- P-value cut-off (0...1) [0.05]

### Details

Tests the null hypothesis that two proportions are equal. The test only applies to dichotomised data,
where the data can only assume one of two values. Unless the raw data imported into Chipster already contained
dichotomised data the tool Preprocessing / Dichotomise contionious data will have to be applied to the the data
prior to using this tool.

The result file adds two columns to the input data table, one with the raw p-values from the test of equal proportions
and one with the same values subjected to multiple testing correction. The smaller the value the smaller the probability
that the tested proportions are equal.

Multiple testing correction options are Bonferroni, Holm, and Hochberg for family-wise error rate (FWER) and
Benjamini-Hochberg, Benjamini-Yakutieri and Storey-Q for false discovery rate (FDR). Of these Bonferroni is the most
conservative, returning the smallest number of significant results, and FDR-based adjustments are less
conservative, and return more significant results.

### Output

A text file containing the gene expression values plus the raw and adjusted p-value for the test.

### References

This tool uses Bioconductor packages multtest and qvalue.