Dap is a C-based software package that offers users a range of statistics and graphics capabilities in a compact form. It is suitable for individuals or small teams seeking an affordable alternative to larger, more complex analytical tools.
Dap is a compact yet powerful software package based on C that offers a range of statistical and graphics capabilities. Dap version 3.0 and later now includes the ability to read SBS programs, which are based on a famous, industry-standard statistics system with similar initials. This feature means users who wish to perform basic statistical analyses can do so without having to learn and use C syntax for straightforward tasks while retaining access to the C-style graphics and statistics features provided by the original implementation.
Dap provides core methods of data management, analysis, and graphics that are commonly used in statistical consulting practice, including univariate statistics, correlations and regression, ANOVA, categorical data analysis, logistic regression, and nonparametric analyses. The software is intuitive and easy to use, and anyone familiar with basic C programming syntax can quickly learn to use Dap's C-style features from the manual and the examples contained in it, without requiring advanced C programming knowledge.
One of the key benefits of Dap is its unique file processing approach, which reads files one line at a time, rather than reading entire files into memory. This feature means the software is capable of processing huge data sets with numerous lines and variables. Dap is ideal for use in statistical consulting practices because it is free software distributed under a GNU-style copyleft, and it can run programs written for that industry-standard statistics system directly.
Dap was developed by its founder, who wrote the software after struggling to find an affordable GNU/Linux alternative to the expensive lease arrangement required for the famous, industry-standard statistics system. The founder's experience of this software inspired the creation of Dap, which aims to deliver a similar level of functionality while offering much greater programming flexibility. Overall, Dap is a reliable software package that's well-suited for a wide range of statistical and graphics tasks in academic or business settings.
Dap provides core methods of data management, analysis, and graphics that are commonly used in statistical consulting practice, including univariate statistics, correlations and regression, ANOVA, categorical data analysis, logistic regression, and nonparametric analyses. The software is intuitive and easy to use, and anyone familiar with basic C programming syntax can quickly learn to use Dap's C-style features from the manual and the examples contained in it, without requiring advanced C programming knowledge.
One of the key benefits of Dap is its unique file processing approach, which reads files one line at a time, rather than reading entire files into memory. This feature means the software is capable of processing huge data sets with numerous lines and variables. Dap is ideal for use in statistical consulting practices because it is free software distributed under a GNU-style copyleft, and it can run programs written for that industry-standard statistics system directly.
Dap was developed by its founder, who wrote the software after struggling to find an affordable GNU/Linux alternative to the expensive lease arrangement required for the famous, industry-standard statistics system. The founder's experience of this software inspired the creation of Dap, which aims to deliver a similar level of functionality while offering much greater programming flexibility. Overall, Dap is a reliable software package that's well-suited for a wide range of statistical and graphics tasks in academic or business settings.
What's New
Version 3.6: N/A