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<p>
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<h2>NAME</h2>
<p>AnalyzeTextFilesData.pl - Analyze numerical coulmn data in TextFile(s)</p>
<p>
</p>
<h2>SYNOPSIS</h2>
<p>AnalyzeTextFilesData.pl TextFile(s)...</p>
<p>AnalyzeTextFilesData.pl [<strong>-c, --colmode</strong> colnum | collabel] [<strong>--columns</strong> &quot;colnum,[colnum,...]&quot; | &quot;collabel,[collabel,...]&quot; | All]
[<strong>--columnpairs</strong> &quot;colnum,colnum,[colnum,colnum]...&quot; | &quot;collabel,collabel,[collabel,collabel]...&quot; | AllPairs]
[<strong>-d, --detail</strong> infolevel] [<strong>-f, --fast</strong>] [<strong>--frequencybins</strong> number | &quot;number,number,[number,...]&quot;] [<strong>-h, --help</strong>]
[<strong>--indelim</strong> comma | semicolon] [<strong>--klargest</strong> number] [<strong>--ksmallest</strong> number]
[<strong>-m, --mode</strong> DescriptiveStatisticsBasic | DescriptiveStatisticsAll | All | &quot;function1, [function2,...]&quot;]
[<strong>-o, --overwrite</strong>] [<strong>--outdelim</strong> comma | tab | semicolon] [<strong>-p, --precision</strong> number]
[<strong>-q, --quote</strong> yes | no] [<strong>-r, --root</strong> rootname] [<strong>--trimfraction</strong> number] [<strong>-w, --workingdir</strong> dirname] TextFiles(s)...</p>
<p>
</p>
<h2>DESCRIPTION</h2>
<p>Anaylze numerical column data in <em>TextFile(s)</em> using a combination of various statistical
functions; Non-numerical values are simply ignored. For <em>Correlation, RSquare, and Covariance</em>
analysis, the count of valid values in specifed column pair must be same; otherwise, column
pair is ignored. The file names are separated by space. The valid file extensions are <em>.csv</em>
and <em>.tsv</em> for comma/semicolon and tab delimited text files respectively. All other
file names are ignored. All the text files in a current directory can be specified by
<em>*.csv</em>, <em>*.tsv</em>, or the current directory name. The <strong>--indelim</strong> option determines
the format of <em>TextFile(s)</em>. Any file which doesn't correspond to the format indicated
by <strong>--indelim</strong> option is ignored.</p>
<p>
</p>
<h2>OPTIONS</h2>
<dl>
<dt><strong><strong>-c, --colmode</strong> <em>colnum | collabel</em></strong></dt>
<dd>
<p>Specify how columns are identified in TextFile(s): using column number or column
label. Possible values: <em>colnum or collabel</em>. Default value: <em>colnum</em>.</p>
</dd>
<dt><strong><strong>--columns</strong> <em>&quot;colnum,[colnum,...]&quot; | &quot;collabel,[collabel]...&quot; | All</em></strong></dt>
<dd>
<p>This value is mode specific. It's a list of comma delimited columns to use
for data analysis. Default value: <em>First column</em>.</p>
<p>This value is ignored during <em>Correlation/Pearson Correlation</em> and <em>Covariance</em>
data analysis; <strong>-coulmnparis</strong> option is used instead.</p>
<p>For <em>colnum</em> value of <strong>-c, --colmode</strong> option, input values format is:
<em>colnum,colnum,...</em>. Example:</p>
<div class="OptionsBox">
   1,3,5</div>
<p>For <em>collabel</em> value of <strong>-c, --colmode</strong> option, input values format is:
<em>collabel,collabel,..</em>. Example:</p>
<div class="OptionsBox">
    ALogP,MolWeight,EC50</div>
</dd>
<dt><strong><strong>--columnpairs</strong> <em>&quot;colnum,colnum,[colnum,colnum,...]&quot; | &quot;collabel,collabel,[collabel,collabel,...]&quot; | AllPairs</em></strong></dt>
<dd>
<p>This value is mode specific and is only used for <em>Correlation, PearsonCorrelation, or
Covariance</em> value of <strong>-m, --mode</strong> option. It is a comma delimited list of column pairs
to use for data analysis during <em>Correlation</em> and <em>Covariance</em> calculations. Default value:
<em>First column, Second column</em>.</p>
<p>For <em>colnum</em> value of <strong>-c, --colmode</strong> option, input values format is:
<em>colnum,colnum,[colnum,colnum]...</em>. Example:</p>
<div class="OptionsBox">
    1,3,5,6,1,6</div>
<p>For <em>collabel</em> value of <strong>-c, --colmode</strong> option, input values format is:
<em>collabel,collabel,[collabel,collabel]..</em>. Example:</p>
<div class="OptionsBox">
    MolWeight,EC50,NumN+O,PSA</div>
<p>For <em>AllPairs</em> value of <strong>--columnparis</strong> option, all column pairs are used for <em>Correlation</em>
and <em>Covariance</em> calculations.</p>
</dd>
<dt><strong><strong>-d, --detail</strong> <em>infolevel</em></strong></dt>
<dd>
<p>Level of information to print about column values being ignored. Default: <em>1</em>. Possible values:
1, 2, 3, or 4.</p>
</dd>
<dt><strong><strong>-f, --fast</strong></strong></dt>
<dd>
<p>In this mode, all the columns specified for analysis are assumed to contain numerical
data and no checking is performed before analysis. By default, only numerical data is
used for analysis; other types of column data is ignored.</p>
</dd>
<dt><strong><strong>--frequencybins</strong> <em>number | &quot;number,number,[number,...]&quot;</em></strong></dt>
<dd>
<p>Specify number of bins or bin range to use for frequency analysis. Default value: <em>10</em></p>
<p>Number of bins value along with the smallest and largest value for a column is used to
group the column values into different groups.</p>
<p>The bin range list is used to group values for a column into different groups; It must contain
values in ascending order. Examples:</p>
<div class="OptionsBox">
    10,20,30
<br/>    0.1,0.2,0.3,0.4,0.5</div>
<p>The frequency value calculated for a specific bin corresponds to all the column values
which are greater than the previous bin value and less than or equal to the current bin value.</p>
</dd>
<dt><strong><strong>-h, --help</strong></strong></dt>
<dd>
<p>Print this help message.</p>
</dd>
<dt><strong><strong>--indelim</strong> <em>comma | semicolon</em></strong></dt>
<dd>
<p>Input delimiter for CSV <em>TextFile(s)</em>. Possible values: <em>comma or semicolon</em>.
Default value: <em>comma</em>. For TSV files, this option is ignored and <em>tab</em> is used as a
delimiter.</p>
</dd>
<dt><strong><strong>--klargest</strong> <em>number</em></strong></dt>
<dd>
<p>Kth largest value to find by <em>KLargest</em> function. Default value: <em>2</em> Valid values: positive
integers.</p>
</dd>
<dt><strong><strong>--ksmallest</strong> <em>number</em></strong></dt>
<dd>
<p>Kth smallest value to find by <em>KSmallest</em> function. Default value: <em>2</em>. Valid values: positive
integers.</p>
</dd>
<dt><strong><strong>-m, --mode</strong> <em>DescriptiveStatisticsBasic | DescriptiveStatisticsAll | All | &quot;function1, [function2,...]&quot;</em></strong></dt>
<dd>
<p>Specify how to analyze data in TextFile(s): calculate basic or all descriptive statistics; or
use a comma delimited list of supported statistical functions. Possible values:
<em>DescriptiveStatisticsBasic | DescriptiveStatisticsAll | &quot;function1,[function2]...&quot;</em>. Default
value: <em>DescriptiveStatisticsBasic</em></p>
<p><em>DescriptiveStatisticsBasic</em> includes these functions: <em>Count, Maximum, Minimum, Mean,
Median, Sum, StandardDeviation, StandardError, Variance</em>.</p>
<p><em>DescriptiveStatisticsAll</em>, in addition to  <em>DescriptiveStatisticsBasic</em> functions, includes:
<em>GeometricMean, Frequency, HarmonicMean, KLargest, KSmallest, Kurtosis, Mode, RSquare,
Skewness, TrimMean</em>.</p>
<p><em>All</em> uses complete list of supported functions: <em>Average, AverageDeviation, Correlation,
Count, Covariance, GeometricMean, Frequency, HarmonicMean, KLargest, KSmallest, Kurtosis,
Maximum, Minimum, Mean, Median, Mode, RSquare, Skewness, Sum,
SumOfSquares, StandardDeviation, StandardDeviationN, StandardError, StandardScores,
StandardScoresN, TrimMean, Variance, VarianceN</em>. The function names ending with N
calculate corresponding values assuming an entire population instead of a population sample.</p>
<p>Here are the formulas for these functions:</p>
<p>Average: See Mean</p>
<p>AverageDeviation: SUM( ABS(x[i] - Xmean) ) / n</p>
<p>Correlation: See Pearson Correlation</p>
<p>Covariance: SUM( (x[i] - Xmean)(y[i] - Ymean) ) / n</p>
<p>GeometricMean: NthROOT( PRODUCT(x[i]) )</p>
<p>HarmonicMean: 1 / ( SUM(1/x[i]) / n )</p>
<p>Mean: SUM( x[i] ) / n</p>
<p>Median: Xsorted[(n - 1)/2 + 1] for even values of n; (Xsorted[n/2] + Xsorted[n/2 + 1])/2
for odd values of n.</p>
<p>Kurtosis: [ {n(n + 1)/(n - 1)(n - 2)(n - 3)}  SUM{ ((x[i] - Xmean)/STDDEV)^4 } ] -
{3((n - 1)^2)}/{(n - 2)(n-3)}</p>
<p>PearsonCorrelation: SUM( (x[i] - Xmean)(y[i] - Ymean) ) / SQRT( SUM( (x[i] - Xmean)^2 )
(SUM( (y[i] - Ymean)^2 ))   )</p>
<p>RSquare: PearsonCorrelation^2</p>
<p>Skewness: {n/(n - 1)(n - 2)} SUM{ ((x[i] - Xmean)/STDDEV)^3 }</p>
<p>StandardDeviation: SQRT ( SUM( (x[i] - Mean)^2 ) / (n - 1) )</p>
<p>StandardDeviationN: SQRT ( SUM( (x[i] - Mean)^2 ) / n )</p>
<p>StandardError: StandardDeviation / SQRT( n )</p>
<p>StandardScore: (x[i] - Mean) / (n - 1)</p>
<p>StandardScoreN: (x[i] - Mean) / n</p>
<p>Variance: SUM( (x[i] - Xmean)^2  / (n - 1) )</p>
<p>VarianceN: SUM( (x[i] - Xmean)^2  / n )</p>
</dd>
<dt><strong><strong>-o, --overwrite</strong></strong></dt>
<dd>
<p>Overwrite existing files.</p>
</dd>
<dt><strong><strong>--outdelim</strong> <em>comma | tab | semicolon</em></strong></dt>
<dd>
<p>Output text file delimiter. Possible values: <em>comma, tab, or semicolon</em>
Default value: <em>comma</em>.</p>
</dd>
<dt><strong><strong>-p, --precision</strong> <em>number</em></strong></dt>
<dd>
<p>Precision of calculated values in the output file. Default: up to <em>2</em> decimal places.
Valid values: positive integers.</p>
</dd>
<dt><strong><strong>-q, --quote</strong> <em>yes | no</em></strong></dt>
<dd>
<p>Put quotes around column values in output text file. Possible values: <em>yes or
no</em>. Default value: <em>yes</em>.</p>
</dd>
<dt><strong><strong>-r, --root</strong> <em>rootname</em></strong></dt>
<dd>
<p>New text file name is generated using the root: &lt;Root&gt;.&lt;Ext&gt;. Default new file
name: &lt;InitialTextFileName&gt;&lt;Mode&gt;.&lt;Ext&gt;. Based on the specified analysis,
&lt;Mode&gt; corresponds to one of these values: DescriptiveStatisticsBasic,
DescriptiveStatisticsAll, AllStatistics, SpecifiedStatistics, Covariance, Correlation,
Frequency, or StandardScores. The csv, and tsv &lt;Ext&gt; values are used for
comma/semicolon, and tab delimited text files respectively. This option is ignored for
multiple input files.</p>
</dd>
<dt><strong><strong>--trimfraction</strong> <em>number</em></strong></dt>
<dd>
<p>Fraction of data to exclude from the top and bottom of the data set during
<em>TrimMean</em> calculation. Default value: <em>0.1</em>. Valid values: &gt; 0 and &lt; 1.</p>
</dd>
<dt><strong><strong>-w --workingdir</strong> <em>text</em></strong></dt>
<dd>
<p>Location of working directory. Default: current directory.</p>
</dd>
</dl>
<p>
</p>
<h2>EXAMPLES</h2>
<p>To calculate basic statistics for data in first column and generate a
NewSample1DescriptiveStatisticsBasic.csv file, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -o -r NewSample1 Sample1.csv</div>
<p>To calculate basic statistics for data in third column and generate a
NewSample1DescriptiveStatisticsBasic.csv file, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl --columns 3 -o -r NewSample1 Sample1.csv</div>
<p>To calculate basic statistics for data in MolWeight column and generate a
NewSample1DescriptiveStatisticsBasic.csv file, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -colmode collabel --columns MolWeight -o
    -r NewSample1 Sample1.csv</div>
<p>To calculate all available statistics for data in third column and all column pairs,
and generate NewSample1DescriptiveStatisticsAll.csv, NewSample1CorrelationMatrix.csv,
NewSample1CorrelationMatrix.csv, and NewSample1MolWeightFrequencyAnalysis.csv files,
type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -m DescriptiveStatisticsAll --columns 3 -o
    --columnpairs AllPairs -r NewSample1 Sample1.csv</div>
<p>To compute frequency distribution of data in third column into five bins and
generate NewSample1MolWeightFrequencyAnalysis.csv, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -m Frequency --frequencybins 5 --columns 3
    -o -r NewSample1 Sample1.csv</div>
<p>To compute frequency distribution of data in third column into specified bin range
values, and generate NewSample1MolWeightFrequencyAnalysis.csv, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -m Frequency --frequencybins &quot;100,200,400&quot;
    --columns 3 -o -r NewSample1 Sample1.csv</div>
<p>To calculate all available statistics for data in all columns and column pairs, type:</p>
<div class="ExampleBox">
    % AnalyzeTextFilesData.pl -m All --columns  All --columnpairs
    AllPairs -o -r NewSample1 Sample1.csv</div>
<p>
</p>
<h2>AUTHOR</h2>
<p><a href="mailto:msud@san.rr.com">Manish Sud</a></p>
<p>
</p>
<h2>SEE ALSO</h2>
<p><a href="./JoinTextFiles.html">JoinTextFiles.pl</a>,&nbsp<a href="./MergeTextFilesWithSD.html">MergeTextFilesWithSD.pl</a>,&nbsp<a href="./ModifyTextFilesFormat.html">ModifyTextFilesFormat.pl</a>,&nbsp<a href="./SplitTextFiles.html">SplitTextFiles.pl</a>,&nbsp<a href="./TextFilesToHTML.html">TextFilesToHTML.pl</a>
</p>
<p>
</p>
<h2>COPYRIGHT</h2>
<p>Copyright (C) 2015 Manish Sud. All rights reserved.</p>
<p>This file is part of MayaChemTools.</p>
<p>MayaChemTools is free software; you can redistribute it and/or modify it under
the terms of the GNU Lesser General Public License as published by the Free
Software Foundation; either version 3 of the License, or (at your option)
any later version.</p>
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