completeArrLst

This functions aims to inspect repeating structues of data given as list of arrays and will try to complete 
arrays with fewer lines or columns (as this may appear eg with the very last set of high-thourput sceening data 
if fewer measures remain in the last set). Thus, the dimensions of the arrays are compared and 
cases with fewer (lost) columns (eg fewer experimental replicates) will be adjust/complete by adding column(s) of NA.
Used eg when at reading mircotiterplate data the last set is not complete.

The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions.
Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc.
Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM)
for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates).
A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc.
Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values.
Other functions help aligning a matrix or data.frame to a reference using partial matching or to mine an experimental setup to extract patterns of replicate samples.
Many times large experimental datasets need some additional filtering, adequate functions are provided.
Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Batch reading (or writing) of sets of files and combining data to arrays is supported, too.

Wolfgang Raffelsberger

wrMisc

Analyze Experimental High-Throughput (Omics) Data

completeArrLst function

<dl><dt>arrLst</dt>
<dd>(list) list of arrays (typically 1st and 2nd dim for specific genes/objects, 3rd for different measures associated with)</dd>
<dt>silent</dt>
<dd>(logical) suppress messages</dd>
<dt>callFrom</dt>
<dd>(character) allows easier tracking of message(s) produced</dd></dl>

Arguments

Complete list of arrays for same dimensions — completeArrLst

<dl>

<dt>arrLst</dt>
<dd>(list) list of arrays (typically 1st and 2nd dim for specific genes/objects, 3rd for different measures associated with)</dd>


<dt>silent</dt>
<dd>(logical) suppress messages</dd>


<dt>callFrom</dt>
<dd>(character) allows easier tracking of message(s) produced</dd>

</dl>

completeArrLst: Complete list of arrays for same dimensions

Description

Usage

Value

Arguments

See Also

Examples