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updated readme

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Andrzej Wójtowicz 2016-07-17 03:01:33 +02:00
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README.md
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@ -3,7 +3,22 @@ Andrzej Wójtowicz
Document generation date: 2016-07-17 02:31:21.
Document generation date: 2016-07-17 02:59:19.
This project preprocesses a few datasets from [UC Irvine Machine Learning
Repository](https://archive.ics.uci.edu/ml/) into tidy R object files.
It focuses on the binary classification datasets and saves only complete cases
within a dataset.
**R software**: [Microsoft R Open](https://mran.microsoft.com/open/) (3.2.5)
**Reproducibility library**: [checkpoint](https://github.com/RevolutionAnalytics/checkpoint)
**Reproducibility procedure**:
1. Run *s1-download-data.R* to download original datasets.
2. Run *s2-preprocess-data.R* to preprocess the datasets.
3. Optionally knit s*3-make-readme.Rmd* to get an overview of the preprocessed datasets.
# Table of Contents

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s3-make-readme.Rmd
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@ -13,6 +13,21 @@ source('init.R')
Document generation date: `r Sys.time()`.
This project preprocesses a few datasets from [UC Irvine Machine Learning
Repository](https://archive.ics.uci.edu/ml/) into tidy R object files.
It focuses on the binary classification datasets and saves only complete cases
within a dataset.
**R software**: [Microsoft R Open](https://mran.microsoft.com/open/) (`r paste0(R.version$major, ".", R.version$minor)`)
**Reproducibility library**: [checkpoint](https://github.com/RevolutionAnalytics/checkpoint)
**Reproducibility procedure**:
1. Run *s1-download-data.R* to download original datasets.
2. Run *s2-preprocess-data.R* to preprocess the datasets.
3. Optionally knit s*3-make-readme.Rmd* to get an overview of the preprocessed datasets.
```{r show-datasets, results='asis'}
cat("\n# Table of Contents\n\n")