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acss.data  

Data Only: Algorithmic Complexity of Short Strings (Computed via Coding Theorem Method)
View on CRAN: Click here


Download and install acss.data package within the R console
Install from CRAN:
install.packages("acss.data")

Install from Github:
library("remotes")
install_github("cran/acss.data")

Install by package version:
library("remotes")
install_version("acss.data", "1.0")



Attach the package and use:
library("acss.data")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-05
Latest Update: 2014-04-05
Description:
Data only package providing the algorithmic complexity of short strings, computed using the coding theorem method. For a given set of symbols in a string, all possible or a large number of random samples of Turing machines (TM) with a given number of states (e.g., 5) and number of symbols corresponding to the number of symbols in the strings were simulated until they reached a halting state or failed to end. This package contains data on 4.5 million strings from length 1 to 12 simulated on TMs with 2, 4, 5, 6, and 9 symbols. The complexity of the string corresponds to the distribution of the halting states of the TMs.
How to cite:
Henrik Singmann (2014). acss.data: Data Only: Algorithmic Complexity of Short Strings (Computed via Coding Theorem Method). R package version 1.0, https://cran.r-project.org/web/packages/acss.data. Accessed 06 Nov. 2024.
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Functions, R codes and Examples using the acss.data R package
Some associated functions: acss_data-package . acss_data . 
Some associated R codes: Full acss.data package functions and examples
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