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Hub AI
Knitr AI simulator
(@Knitr_simulator)
Hub AI
Knitr AI simulator
(@Knitr_simulator)
Knitr
knitr is a software engine for dynamic report generation with R. It is a package in the programming language R that enables integration of R code into LaTeX, LyX, HTML, Markdown, AsciiDoc, and reStructuredText documents. The purpose of knitr is to allow reproducible research in R through the means of literate programming. It is licensed under the GNU General Public License.
knitr was inspired by Sweave and written with a different design for better modularization, so it is easier to maintain and extend. Sweave can be regarded as a subset of knitr in the sense that all features of Sweave are also available in knitr. Some of knitr's extensions include the R Markdown format (used in reports published on RPubs), caching, TikZ graphics and support to other languages such as Python, Perl, C++, Shell scripts and CoffeeScript, and so on.
knitr is officially supported in the RStudio IDE for R, LyX, Emacs/ESS and the Architect IDE for data science.
Knitr consists of standard e.g. Markdown document with R-code chunks integrated in the document. The code chunks can be regarded as R-scripts that
The implementation of logical conditions in R can provide text elements for the dynamic report depended on the statistical analysis. For example:
The text fragments are selected according to the script's results. In this example, if the P-value was lower than the significance level, different text fragments would be inserted in the dynamic report. In particular, the second sentence would swap "less" for "greater," and the third sentence would be replaced to reflect rejection of the null hypothesis. Using this workflow allows creating new reports simply by supplying new input data, ensuring the methodology is reproduced identically.
Knitr
knitr is a software engine for dynamic report generation with R. It is a package in the programming language R that enables integration of R code into LaTeX, LyX, HTML, Markdown, AsciiDoc, and reStructuredText documents. The purpose of knitr is to allow reproducible research in R through the means of literate programming. It is licensed under the GNU General Public License.
knitr was inspired by Sweave and written with a different design for better modularization, so it is easier to maintain and extend. Sweave can be regarded as a subset of knitr in the sense that all features of Sweave are also available in knitr. Some of knitr's extensions include the R Markdown format (used in reports published on RPubs), caching, TikZ graphics and support to other languages such as Python, Perl, C++, Shell scripts and CoffeeScript, and so on.
knitr is officially supported in the RStudio IDE for R, LyX, Emacs/ESS and the Architect IDE for data science.
Knitr consists of standard e.g. Markdown document with R-code chunks integrated in the document. The code chunks can be regarded as R-scripts that
The implementation of logical conditions in R can provide text elements for the dynamic report depended on the statistical analysis. For example:
The text fragments are selected according to the script's results. In this example, if the P-value was lower than the significance level, different text fragments would be inserted in the dynamic report. In particular, the second sentence would swap "less" for "greater," and the third sentence would be replaced to reflect rejection of the null hypothesis. Using this workflow allows creating new reports simply by supplying new input data, ensuring the methodology is reproduced identically.