abundance_calc | Calculates Abundance |
alphaDiv_calc | Calculates Alpha Diversity Indices |
applyFilt | Apply a filter to an omicsData object |
applyFilt_worker | Remove items that need to be filtered out |
as.seqData | Convert Data to Appropriate pmartRseq Class |
CLR_Norm | Centered-log Ratio Normalization of count data |
count_based_filter | Count filter object |
countSTAT | Statistical tests for count data |
CSS_Norm | Cumulative sum scaling normalization of count data |
detect_modules | Detect modules for Network |
effsp_calc | Calculates Effective Species |
evenness_calc | Calculates Evenness Indices |
group_designation | Creates Data Frame for Group Membership Based on Specified... |
import_seqData | Import rRNA (16S/ITS/18S), metatranscript, or metagenomic... |
indsp_calc | Computes Indicator Species Analysis for Count Data |
jaccard_calc | Calculates Jaccard Index |
Log_Norm | Log transformation of count data |
med_scounts_norm | Normalization of count data via DESeq scale factors |
metadata_based_filter | Metadata filter object |
mod_env | Function to calculate module eigen vectors and correlate... |
network_calc | Calculates Correlations |
network_indices | Calculate Indices (metrics) for Network |
network_plot | Generate Network Plot |
normalize_data | Normalize data |
plot_all_diffabun | Plot all differential abundance results |
plot_indsp | Plot Indicator species Analysis Results |
plot_pmartRseq | Produce a plot of an omicsData Object |
pmartRseq | pmartRseq: A pipeline package that enables a reproducible... |
pmartRseq_aldex2 | Modified version of ALDEx2 for pmartRseq |
pmartRseq_DESeq2 | DESeq2 analysis of omicsData objects |
pmartRseq_edgeR | edgeR analysis of omicsData objects |
pmartRseq_igraph | Calculates a network graph |
pmartRseq_NMDS | NMDS plot for beta diversity |
pmartRseq_to_vegan | Transforms an omicsData object into a vegan data object |
poisson_norm | Normalization of count data via Poisson Sampling |
Quant_Norm | Quantile normalization of count data |
Rarefy | Rarefying of count data |
report | Creates a report for pmartRseq objects |
richness_calc | Calculates Richness |
sample_based_filter | Sample filter object |
split_emeta | Splits an e_meta column into separate columns |
summary-pmartRseq | Produce a basic summary of an pmartRseq S3 Object |
taxa_rollup | Roll up data to a specified taxonomic level |
TMM_Norm | Trimmed Mean of M Values normalization of count data |
TSS_Norm | Total sum scaling normalization of count data |
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