Chapter 13 Appendices
13.1 R session information
The R session information when compiling this book is shown below.
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 9 (stretch)
##
## Matrix products: default
## BLAS/LAPACK: /usr/lib/libopenblasp-r0.2.19.so
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=C
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] nycflights13_1.0.1 dplyr_0.8.3 sparklyr_1.0.5
## [4] knitr_1.26 jhaddins_0.0.0.9000 magrittr_1.5
## [7] highcharter_0.7.0
##
## loaded via a namespace (and not attached):
## [1] zoo_1.8-6 tidyselect_0.2.5 xfun_0.11 forge_0.2.0
## [5] purrr_0.3.3 lattice_0.20-38 vctrs_0.2.0 generics_0.0.2
## [9] htmltools_0.4.0 yaml_2.2.0 base64enc_0.1-3 utf8_1.1.4
## [13] rlang_0.4.2 pillar_1.4.2 withr_2.1.2 glue_1.3.1
## [17] DBI_1.0.0 rappdirs_0.3.1 dbplyr_1.4.2 TTR_0.23-5
## [21] lifecycle_0.1.0 quantmod_0.4-15 stringr_1.4.0 htmlwidgets_1.5.1
## [25] evaluate_0.14 parallel_3.6.1 curl_4.3 fansi_0.4.0
## [29] broom_0.5.2 xts_0.11-2 r2d3_0.2.3 Rcpp_1.0.3
## [33] openssl_1.4.1 backports_1.1.5 jsonlite_1.6 config_0.3
## [37] askpass_1.1 digest_0.6.23 stringi_1.4.3 rlist_0.4.6.1
## [41] bookdown_0.16 grid_3.6.1 rprojroot_1.3-2 cli_2.0.0
## [45] tools_3.6.1 tibble_2.1.3 crayon_1.3.4 tidyr_1.0.0
## [49] whisker_0.4 pkgconfig_2.0.3 zeallot_0.1.0 ellipsis_0.3.0
## [53] data.table_1.12.8 lubridate_1.7.4 assertthat_0.2.1 rmarkdown_1.18
## [57] httr_1.4.1 rstudioapi_0.10 R6_2.4.1 igraph_1.2.4.2
## [61] nlme_3.1-140 compiler_3.6.1
13.2 Setup of Apache Arrow
It is worth noting that the implementation of Apache Arrow into R arrived on CRAN early August 2019, which means at the time of writing of the relevant chapter it was on CRAN about 3 weeks. The functionality also depends on the Arrow C++ library, so installation is a bit more difficult than with some other R packages.
Care should also be taken with regards to the capability of the C++ library, the arrow R package version and the version of sparklyr. We had good results with using the R package arrow version 0.15.1.1, sparklyr 1.0.5 and the 0.15.1 version of the C++ libraries. The aforementioned Docker image has both the C++ libraries and the R arrow package available for use.