Notebook of Reading Books: R in Action_Chapter 1.

This chapter covers

  • Installing R

  • Understanding the R language

  • Running programs

To summary, R can

  • Access data from a wide range of sources;

  • Merge the pieces of data together;

  • Clean and annotate data;

  • Analyze cleaned data with the latest methods;

  • Present the findings in meaningful and graphically appealing ways;

  • Incorporate the results into attractive reports that can be distributed to stakeholders and the public.

Attach is the Script of chapter1.

Show me the code 

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# Remove most objects from the working environment
rm(list = ls())
# a tremendously versatile and impressive code
options(stringsAsFactors = F)

# Section 1.3.2 Getting help
help.start()

## Section 1.3.3 Functions for managing the R workspace
getwd()
setwd("mydirectory")
ls()            # List the objects in the current workspace.
rm(objectlist)  # Remove (delete) one or more objects.
options()       # View or set current options.
history()       # Display your last # commands (default = 25).
save()
load()
q()

## Section 1.3.4 Input and Output

# Input
source("filename")

source("script1.R") # Working through an example.

# Output
sink("myoutput", append=TRUE, split=TRUE)
pdf("mygraphs.pdf")
source("script2.R")

sink()
dev.off()
source("script3.R")