How to Install and Uninstall stda Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 19,2024

1. Install "stda" package

This guide covers the steps necessary to install stda on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                stda
            
                    
    
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2. Uninstall "stda" package

Please follow the steps below to uninstall stda on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                stda
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the stda package on Ubuntu 20.10 (Groovy Gorilla)

Package: stda
Architecture: all
Version: 1.3.1-2
Priority: extra
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dimitar Ivanov
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 114
Depends: gawk | mawk, gnuplot
Recommends: gv, evince
Filename: pool/universe/s/stda/stda_1.3.1-2_all.deb
Size: 33292
MD5sum: bd3b13be81e4295042cc98a49f96d39b
SHA1: afd67b511ed94ac762599cbb9bddfe4d890894a8
SHA256: 14bab886afbf13e5aaef5f26958054067b5c7fe034567c4731876366ce83d9a2
SHA512: ed8b8964456dc65748f6ed396bda951b128758abdf43f041571e0de5ab53643a44ff30aa89df107d10ec64c402e03df24769f1db13f4b4e1d30c90e0e30095d1
Homepage: http://gnu.mirendom.net/stda.html
Description-en: simple tools for data analysis (stda)
This package contains some primary tools for evaluating sums, averages,
integrals, derivatives, histograms/distributions of 1-d numerical data, and
eventually for plotting the results. The stand-alone programs (supporting
the standard UNIX input and output pipelines) are intended for data processing
from the command line. They are especially useful for straightforward analysis
of number series where a complex analytical approach is not necessary.
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Following programs are included:
* maphimbu - histogram builder for 1-d numerical and text data;
* mintegrate - evaluate average/sum/integral/derivative of 1-d numerical data;
* mmval - find minimum and maximum value in a dataset;
* muplot - plot a multi-curve figure from multiple dataset using Gnuplot;
* nnum - produce a series of integers or floats;
* prefield - prepare input file for 'muplot' to plot 2-d fields by arrows.
Description-md5: f965787e3a9b0389d9e9895e1addb6e8