Getting started with wrMisc
Introduction | Dependencies and Compilation | Installation And Loading | Speed Optimized Functions In The Package wrMisc | Assessing Basic Information About Variability (for matrix) | Data Organized In (Sub-)Groups As Sets Of Columns | Counting Number Of NAs Per Row And Group Of Columns | Fast NA-omit For Very Large Objects | Minimum Distance/Difference Between Values | Working With Lists (And Lists Of Lists) | Partial unlist | Appending/Combining Lists | rbind On Lists | cbind On Lists | Merge Multiple Matrices From List | Fuse Content Of List-Elements With Redundant (Duplicated) Names | Filtering Lines And/Or Columns For All List-Elements Of Same Size | Replacements In List | Organize Values Into List And Sort By Names | Batch-filter List-Elements | Transform Columns Of Matrix To List Of Vectors | Working With Arrays | CV (Coefficient Of Variance) With Arrays | Slice 3-dim Array In List Of Matrixes (Or Arrays) | Working With Redundant Data | Identify What Is Repeated (and Where Repeated Do Occur) | Correct Vector To Unique (While Maintaining The Original Vector Length) | Mark Any Duplicated (ie Ambiguous) Elements by Changing Their Names (and Separate from Unqiue) | Compare Multiple Vectors And Sort By Number Of Common/Repeated Values/Words | Combine Multiple Matrixes Where Some Column-Names Are The Same | Filter Matrix To Keep Only First Of Repeated Lines | Filter To Unique Column-Content Of Matrix, Add Counter And Concatenated Information | Get First Of Repeated By Column | Transform (ambigous) Matrix To Non-ambiguous Matrix (In Respect To Given Column) | Combine Replicates From List To Matrix | Combine Redundant Lines From List with (Multiple) Matrix According to Reference | Non-redundant Lines Of Matrix | Filter For Unique Elements /2 | Make Non-redundant Matrix | Example : Summarize table for longest of transcripts | Combine/Reduce Redundant Lines Based On Specified Column | Convert Matrix (eg With Redundant) Row-Names To data.frame | Find And Combine Points Located Very Close In X/Y Space | Bin And Summarize Values According To Their Names | Regrouping Simultaneaously by Two Factors | Batch Replacing Of Values Or Character-Strings | Multi-to-multi Matching Of (Concatenated) Terms | Comparing Global Patterns | Search For Similar (Numeric) Values | Find Similar Numeric Values Of Two Columns Of A Matrix | Find Similar Numeric Values From Two Vectors/Matrixes | Fuse Previously Identified Pairs To 'Clusters' | Eliminate Close (Overlapping) Points (In Bivariate x & y Space) | Mode Of (Continuous) Data | Most Frequently Occuring Value (traditional mode) | Text-Manipulations | Protect Special Characters | Trimming Redundant Text | Removing Redundant/Shared Words | Extract Common Part Of Text | Manipulating Enumerator-Extensions | Remove/Modify Enumerators | Unify Enumerators | Find/Choose Column Most Likely Containing Sample-Names | Find Common Unit | Adjust Decimal Prefixes And Extact Numeric+Unit Part | Merging Multiple Named Vectors To Matrix | Match All Lines of Matrix To Reference Note | Order Matrix According To Reference | Value Matching With Option For Concatenated Terms | Check for (Strict) Order | Working With Regressions | Best Starting Point For Linear Regressions (Start of linearity) | High Throughput Testing For Linear Regressions | Combinatorics Issues | All Pairwise Ratios | Count Frequency Of Terms Combined From Different Drawings (combineAsN) | Import/Export | Batch-Reading Of CSV Files | Batch-Reading Of Tabulated Files | Reading/Importing Incomplete Tables | Converting Url For Reading Tabulated Data From GitHub | Data Vectorization | Normalization | Filter Lines Of Matrix To Reduce Content Of NAs | Filter For Each Group Of Columns For Sufficient Data As Non-NA | Filter As Separate Pairwise Groups Of Samples | Cleaning Replicates | The Function normalizeThis() | Normalize By Rows | Matrix Coordinates Of Values/Points According To Filtering | Trimmed Mean | Blockwise Normalization Of 2 or 3 Data-Sets | Statistical Testing | Normal Random Number Generation with Close Fit to Expected mean and sd | Moderated Pair-Wise t-Test from limma | Multiple Moderated Pair-Wise t-Tests From limma | Choosing amongst multiple possible pairwise comparisons | Transform p-values To Local False Discovery Rate (lfdr) | Confindence Intervals (under Normal Distribution) | Extract Groups Of Replicates From Pair-Wise Column-Names | Extract Numeric Part Of Column-Names | Automatic Determination Of Replicate Structure Based On Meta-Data | Addressing Pairwise Comparisons | Suggesting A Separator For Pairwise Combinations | Identify The Separator Used In Concatenated Text | Working With Clustering | Prepare Data For Clustering | Characterize Clustering Results | Remove or Reassign Orphans | Tree-Like Structures | Filter Lists Of Connected Nodes, Extension Of Networks As 'Sandwich' | Convert Collection Of Pairs Of Nodes To Propensity Matrix | Characterize Individual Contribution Of Single Edges In Tree-Structures | Count Same Start- And End- Sites Of Edges (Or Fragments) | Support for Graphical Output | Convenient Paste-Collapse | Transform Numeric Values to Color-Gradient | Assign New Transparency To Given Colors | Print Matrix-Content As Plot | Other Convenience Functions | Writing Compact Dates (more options ...) | Acknowledgements | Session-Info
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