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AnalyzeSDFilesData.pl - Analyze numerical data field values in SDFile(s)
AnalyzeSDFilesData.pl SDFile(s)...
AnalyzeSDFilesData.pl [--datafields "fieldlabel,[fieldlabel,...]" | All] [--datafieldpairs "fieldlabel,fieldlabel,[fieldlabel,fieldlabel,...]" | AllPairs] [-d, --detail infolevel] [-f, --fast] [--frequencybins number | "number,number,[number,...]"] [-h, --help] [--klargest number] [--ksmallest number] [-m, --mode DescriptiveStatisticsBasic | DescriptiveStatisticsAll | All | "function1, [function2,...]"] [--trimfraction number] [-w, --workingdir dirname] SDFiles(s)...
Analyze numerical data field values in SDFile(s) using a combination of various statistical functions; Non-numerical values are simply ignored. For Correlation, RSquare, and Covariance analysis, the count of valid values in specified data field pairs must be same; otherwise, column data field pair is ignored. The file names are separated by space.The valid file extensions are .sdf and .sd. All other file names are ignored. All the SD files in a current directory can be specified either by *.sdf or the current directory name.
Data fields to use for analysis. Possible values: list of comma separated data field labels, data fields common to all records, or all data fields. Default value: Common. Examples:
This value is mode specific and is only used for Correlation, PearsonCorrelation, or Covariance value of -m, --mode option. It specifies data field label pairs to use for data analysis during Correlation and Covariance calculations. Possible values: comma delimited list of data field label pairs, data field label pairs common to all records, or all data field pairs. Default value:CommonPairs. Example:
For AllPairs value of --datafieldpairs option, all data field label pairs are used for Correlation and Covariance calculations.
Level of information to print about column values being ignored. Default: 0. Possible values: 0, 1, 2, 3, or 4.
In this mode, all the data field values 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.
Specify number of bins or bin range to use for frequency analysis. Default value: 10
Number of bins value along with the smallest and largest value for a column is used to group the column values into different groups.
The bin range list is used to group values for a column into different groups; It must contain values in ascending order. Examples:
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.
Print this help message.
Kth largest value to find by KLargest function. Default value: 2. Valid values: positive integers.
Kth smallest value to find by KSmallest function. Default values: 2. Valid values: positive integers.
Specify how to analyze data in SDFile(s): calculate basic or all descriptive statistics; or use a comma delimited list of supported statistical functions. Possible values: DescriptiveStatisticsBasic | DescriptiveStatisticsAll | "function1,[function2]...". Default value: DescriptiveStatisticsBasic
DescriptiveStatisticsBasic includes these functions: Count, Maximum, Minimum, Mean, Median, Sum, StandardDeviation, StandardError, Variance.
DescriptiveStatisticsAll, in addition to DescriptiveStatisticsBasic functions, includes: GeometricMean, Frequency, HarmonicMean, KLargest, KSmallest, Kurtosis, Mode, RSquare, Skewness, TrimMean.
All uses complete list of supported functions: 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. The function names ending with N calculate corresponding values assuming an entire population instead of a population sample. Here are the formulas for these functions:
Average: See Mean
AverageDeviation: SUM( ABS(x[i] - Xmean) ) / n
Correlation: See Pearson Correlation
Covariance: SUM( (x[i] - Xmean)(y[i] - Ymean) ) / n
GeometricMean: NthROOT( PRODUCT(x[i]) )
HarmonicMean: 1 / ( SUM(1/x[i]) / n )
Mean: SUM( x[i] ) / n
Median: Xsorted[(n - 1)/2 + 1] for even values of n; (Xsorted[n/2] + Xsorted[n/2 + 1])/2 for odd values of n.
Kurtosis: [ {n(n + 1)/(n - 1)(n - 2)(n - 3)} SUM{ ((x[i] - Xmean)/STDDEV)^4 } ] - {3((n - 1)^2)}/{(n - 2)(n-3)}
PearsonCorrelation: SUM( (x[i] - Xmean)(y[i] - Ymean) ) / SQRT( SUM( (x[i] - Xmean)^2 ) (SUM( (y[i] - Ymean)^2 )) )
RSquare: PearsonCorrelation^2
Skewness: {n/(n - 1)(n - 2)} SUM{ ((x[i] - Xmean)/STDDEV)^3 }
StandardDeviation: SQRT ( SUM( (x[i] - Mean)^2 ) / (n - 1) )
StandardDeviationN: SQRT ( SUM( (x[i] - Mean)^2 ) / n )
StandardError: StandardDeviation / SQRT( n )
StandardScore: (x[i] - Mean) / (n - 1)
StandardScoreN: (x[i] - Mean) / n
Variance: SUM( (x[i] - Xmean)^2 / (n - 1) )
VarianceN: SUM( (x[i] - Xmean)^2 / n )
Overwrite existing files.
Output text file delimiter. Possible values: comma, tab, or semicolon Default value: comma.
Precision of calculated values in the output file. Default: up to 2 decimal places. Valid values: positive integers.
Put quotes around column values in output text file. Possible values: yes or no. Default value: yes.
New text file name is generated using the root: <Root>.<Ext>. Default new file name: <InitialSDFileName><Mode>.<Ext>. Based on the specified analysis, <Mode> corresponds to one of these values: DescriptiveStatisticsBasic, DescriptiveStatisticsAll, AllStatistics, SpecifiedStatistics, Covariance, Correlation, Frequency, or StandardScores. The csv, and tsv <Ext> values are used for comma/semicolon, and tab delimited text files respectively. This option is ignored for multiple input files.
Fraction of data to exclude from the top and bottom of the data set during TrimMean calculation. Default value: 0.1 Valid values: > 0 and < 1.
Location of working directory. Default: current directory.
To calculate basic statistics for data in all common data fields and generate a NewSample1DescriptiveStatisticsBasic.csv file, type:
To calculate basic statistics for MolWeight data field and generate a NewSample1DescriptiveStatisticsBasic.csv file, type:
To calculate all available statistics for MolWeight data field and all data field pairs, and generate NewSample1DescriptiveStatisticsAll.csv, NewSample1CorrelationMatrix.csv, NewSample1CorrelationMatrix.csv, and NewSample1MolWeightFrequencyAnalysis.csv files, type:
To compute frequency distribution of MolWeight data field into five bins and generate NewSample1MolWeightFrequencyAnalysis.csv, type:
To compute frequency distribution of data in MolWeight data field into specified bin range values, and generate NewSample1MolWeightFrequencyAnalysis.csv, type:
To calculate all available statistics for data in all data fields and pairs, type:
FilterSDFiles.pl, InfoSDFiles.pl, SplitSDFiles.pl, MergeTextFilesWithSD.pl
Copyright (C) 2024 Manish Sud. All rights reserved.
This file is part of MayaChemTools.
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.
