Chapter 14 Reproducibility
14.1 Source Files for Reproducibility
This project has been written using the R package Bookdown
. For reproducibility, all source files and data are available on my GitHub repository here. To recreate this document just clone the repository and save it in the Thesis folder at the following location C:/ThesisSource/Thesis
.
14.2 Session info for Reproducibility
The R session info when compiling this book is shown below:
## R version 3.3.2 (2016-10-31)
## Platform: i386-w64-mingw32/i386 (32-bit)
## Running under: Windows 10 x64 (build 14393)
##
## locale:
## [1] LC_COLLATE=English_United Kingdom.1252
## [2] LC_CTYPE=English_United Kingdom.1252
## [3] LC_MONETARY=English_United Kingdom.1252
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United Kingdom.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] hexbin_1.27.1 shiny_1.0.0 ggplot2_2.2.1 knitr_1.15.1
## [5] webshot_0.4.1 texreg_1.36.23 MASS_7.3-45 xtable_1.8-2
## [9] dplyr_0.5.0
##
## loaded via a namespace (and not attached):
## [1] digest_0.6.12 htmltools_0.3.5 R6_2.2.0 scales_0.4.1
## [5] assertthat_0.1 rprojroot_1.2 grid_3.3.2 stringr_1.1.0
## [9] munsell_0.4.3 corrplot_0.77 tibble_1.2 highr_0.6
## [13] httpuv_1.3.3 lattice_0.20-34 mime_0.5 DBI_0.5-1
## [17] labeling_0.3 rstudioapi_0.6 plyr_1.8.4 stringi_1.1.2
## [21] magrittr_1.5 reshape2_1.4.2 bookdown_0.3 rmarkdown_1.3
## [25] evaluate_0.10 gtable_0.2.0 colorspace_1.3-2 yaml_2.1.14
## [29] tools_3.3.2 lazyeval_0.2.0 backports_1.0.5 Rcpp_0.12.9
Ezgi CANDAS, Seda BAGDATLI KALKAN, and Tahsin YOMRALIOGLU. 2015. “Determining the Factors Affecting Housing Prices.”
Fitch. 2017a. “Fitch Housing Economic Risk Factor Report.” http://preview.tinyurl.com/ya2uu5vj.
———. 2017b. “Fitch Loss Criteria Report.” http://preview.tinyurl.com/ybxpk8gf.
———. 2017c. “The Resiemea Model.” https://www.fitchratings.com/site/structuredfinance/rmbs/resiemea .
Galati, Gabriele, Federica Teppa, and Rob JM Alessie. 2011. “Macro and Micro Drivers of House Price Dynamics: An Application to Dutch Data.”
Gandrud, Christopher. 2013. Reproducible Research with R and R Studio. CRC Press.
HBR. 1997. “The Four Faces of Mass Customisation.” https://hbr.org/1997/01/the-four-faces-of-mass-customization.
Kaggle. 2015. “This Dataset Contains House Sale Prices for King County.” https://www.kaggle.com/harlfoxem/housesalesprediction.
kdnuggets. 2017. “Trends in Data Science.” http://www.kdnuggets.com/2016/07/4-trends-disrupting-data-science-market.html.
Lewis, Michael, and Nigel Slack. 2002. Operations Strategy. Prentice-Hall.
Pine, B Joseph. 1993. Mass Customization: The New Frontier in Business Competition. Harvard Business Press.
RightMove. 2017. “Positive and Negative Impacts on House Prices.” http://www.rightmove.co.uk/what-affects-house-prices.html.