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Added summary links to the Week1 Notes section
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3_GETDATA/Getting and Cleaning Data Course Notes.Rmd

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* `file <- tempfile()` --> generates empty temp file
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* `write.table(big.df, file=file, row.names=FALSE, col.names = TRUE, sep = "\t". quote = FALSE)` --> writes the generated data from big.df to the empty temp file
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* `fread(file)` --> read file and load data = much faster than `read.table()`
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* **Summary and further reading **
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* *Latest Developments*:
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[Latest Developments](https://r-forge.r-project.org/scm/viewvc,php/pkg/NEWS?view=markup&root=datatable)
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* *Differences between data.table and data.frame*
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[data.table vs. data.frame](http://stackoverflow.com/questions/13618488/what-you-can-do-with-data-frame-that-you-cant-in-data-table)
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* *Raphael Gottardo's Notes*
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[Raphael Gottardo's Notes](https://github.com/raphg/Biostat-578/blob/master/Advanced_data_manipulation.Rpres)
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## Reading from MySQL [install.packages("RMySQL"); library(RMySQL)]

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