[2] Sourcing Libraries

Create the following r source file on a certain directory.

hello.r

print("Hello")

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source()
Show files / directories on the current directory.

sample code(s)

# specify the path to the .r file fileName <- "H:/Quantitative Research/R/hello.r" # load and run the code from the file source(fileName)

[1] "Hello"

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library()

• When you want to load the newly installed packages and use them in the new workspace, then use library().
• Create the following setup.r file and run it.

setup.r

# setup libraries # xts: a timeseries package library(xts) library(TTR) # quantmod: extended graphing functionality; works well with xts library(quantmod) library(PerformanceAnalytics) library(zoo) # ========== Optimization ========== library(quadprog) library(timeDate) library(timeSeries) library(fBasics) library(fAssets) library(fMultivar) library(robustbase) library(DEoptimR) library(ecodist) library(mvnormtest) library(energy) library(sn) library(mnormt) library(numDeriv) library(fCopulae) library(Rglpk) library(slam) library(Rsymphony) library(Rsolnp) library(truncnorm) library(kernlab) library(rneos) library(XML) library(RCurl) library(bitops) library(fPortfolio) library(stockPortfolio) library(ggplot2) library(reshape2) library(digest) library(gtable) library(plyr) library(Rcpp) library(proto) library(stringr) library(stringi) library(magrittr) library(scales) library(munsell) library(colorspace) library(labeling)

sample code(s)

# There could be an error saying "'PerformanceAnalytics' is built prior to R 3.0.0" or something, but please ignore it. setupFile <- "H:/Quantitative Research/R/setup.r" source(setupFile)

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