IIUG 2016 Gathering Informix data into R

Informix Through R
Kevin J. Smith
Automation & Development Operations

Introduction
●
Lab Images informix:IIUG2016
●
oninit; startListeners; rstudio
●
Why R
●
Brief Introduction to R
●
Using Informix with R
●
Personal Exploration 2

R Environment
● Installation
– EPEL + yum
– https://www.r-project.org/
● Pre-compiled Binaries
● Source
● Command Line
– > plot(dataset)
– Run Scripts
● source('analyze.R')
● R-Studio

R Basics
● S Language
– High Level
Object-
Oriented
Statistical
Programming
Language
– Everything is
an obejct
● Data Objects
– Scalars: x < - 5
– Vectors: v < - c(2,5,3,2,4)
– Factors: f < - factor(c(“M”,”F”))
– Matrices: m < - matrix(c(2,3,4,5),
nrow=2,ncol=2)
– List: l < - list(5,6,”seven”,m)
– Data Frame: df < -
data.frame(vector=v,matrix=m)
● Working With Data Objects
– v[2] = 5
– v[2:4] = 5, 3, 2
– m[2,1] = 4
– m[[2,2] = 5, 2, 6 (if 2,2 was a
list in a matrix)
– df$vector = 2, 5, 3, 2, 4
– df2 < - cbind(df,l)
– df3 < - rbind(df,f)

R Programming
● Variables and Assignment
– < -
● Arithmetic Operators
– Standard Mathematical
Precedence
– Use () but not [] or {}
– +, -, *, /, ^

R Programming
● Logical Operators
Operator Functionality
& And
| Or
! Not
== Equal to
!= Not equal to
< Less than
> Greater than
<= Less than or equal to
>= Greater than or equal
to
● Control Structures

R Programming - Subsetting
● Subsetting
– Using logical operators
– Looping not
recommended
– Every logical statement
produces one of the
outcomes TRUE or FALSE

R Programming - Functions
● FunctionName < -
function(arg1, arg2,
… , arg3) { do this }
● Existing functions
come from packages
● Write new Functions
Function Operation Performed
sqrt(x) Square root of x
abs(x) Absolute value
sin(x), tan(x), cos(x) Trigonometric functions
exp(x) Exponential
log(x) Natural logarithm
log10(x) Base 10 logarithm
ceiling(x) Closest integer not less than
x
floor(x) Closest integer not greater
than x
round(x) Closest integer to the
element
Base Package Functions **not limited to

R Database Connectivity
1) Install Driver
2) Setup Driver
3) Install/Indicate R Library
4) In R Obtain Driver (jdbc only)
5) Make Connection with Connection String

R Database Connectivity - Specifics
● JDCB
– Install driver
– library(RJDBC)
– JDBC(package.class,classpat
h,identifier.quote = “””)
– dbConnect(drv,connectionS
tring,user,password)
● ODBC
– Install driver
– Setup driver with driver manager (odbc.ini)
– library(RODBC)
– odbcConnect(dsn)
● Rest
– Start Informix Rest wire-listener
– library(jsonlite)
– fromJson(url)

R Examples
● From the datasets package scripts available to
load into Informix
● Iris_Data_Analysis.pdf
● demo()

Thank You
Comments! or Questions?

IIUG 2016 Gathering Informix data into R

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