Learning R and Teaching R
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a brief tutorial to learning R an teaching R including navigating syntax, documentation and interfaces
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Learning R and Teaching R Today Title: R Language and
Analytics as a Profession Agenda: 1 hour hands on R coding
(beginner/intermediate level) 1 Hour talking on Analytics as a
Profession Speaker: Mr. Ajay Ohri Venue: Room No: 511, Department
of Management studies (DMS), Vishwakarma Bhawan, IIT Delhi 110016
Date & Time: 14 June 2014, Saturday 14.30 16:30 Hrs Directions
to Reach the Venue: Option A: You need to get down at Malviya
Nagar/Hauz Khas Metro station and ask auto to take you just near
Katwariya Sarai. Option B: Get down at Hauz Khas Metro Station.
Take Bus (511 or 511A or Battery PoweredRickshaw to reach to
Sanskrit Vidya peeth (near Katwaiya Sarai ). Or Take Bus 764 and
get down at IIT Hostel Gate. Walk a bit to reach DMS. PLEASE NOTE-
DMS or IIT Delhi has no role in organizing this event. New Delhi R
Meetup http://www.meetup.com/New-Delhi-R-UseR-Group/ 298 members 2
Years Sponsored Non Commercial Group Only Introduction Learning R R
Console R Studio R GUIs R Cloud Teaching R R from the Console
limited lines of code can submitted at a time one graph can be
viewed at a time best for either beginners or really command line
users no syntax prompting help is in a separate window R Syntax-
most important - # adding a hash or # comments out rest of sentence
comments make your code more readable -?(keyword) looks for help on
that keyword locally -??(keyword) looks for help on that keyword in
all the documentation Assignment objectname1=subset(df,df.name$var1
) My first 25 R Commands Whats here? ls() getwd() setwd() dir()
rm() Whats in my object? str() class() dim() length() names()
nrowl() # and ncol() How do I select or change stuff
data.frame.name$variable data.frame[row,column]
subset(df,df.name$var1 > X & df$var2 Install from CRAN
Downloading Installation Dependencies and Loading Dependencies and
Loading My next 25 R Commands Whats missing? is.na() na.omit()
na.rm=T Operators diff lag cumsum Data Mining kmeans
arules::apriori tm::tm_map References-
http://www.statmethods.net/advstats/cluster.html
http://cran.r-project.org/web/packages/arulesViz/vignettes/arulesViz.pdf
http://cran.r-project.org/web/packages/tm/vignettes/tm.pdf
http://www.rdatamining.com/examples/association-rules Modeling
cor(x) lm(x) vif(a) outlierTest(a) System system.time() Sys.Date()
Sys.time() What more can I do? b=ajay[sample(nrow(ajay),replace=F,
size=0.05*nrow(ajay)),] png(graph.png) Write plot as png file
dev.off Data Manipulation as operator substr nchar paste difftime
strptime lubridate::mdy apply functions My favorite 15 R Packages
Data Mining tm arulesViz forecast GUIs rattle Rcmdr epack plugin
KMggplot2 plugin Deducer Visualization ggplot2 ggmap Data Handling
Dates- lubridate Analysis - Hmisc Rcurl XML jsonlite Some more R
packages slidify http://slidify.org/ quantmod
http://www.quantmod.com/ rocr http://rocr.bioinf.mpi-sb.mpg.de/ r
charts http://rcharts.io/ My favorite R documentation CRAN Views
http://cran.r-project.org/web/views/ R Documentation
http://www.rdocumentation.org/ Inside R http://www.inside-r.org/ R
Documentation Views Stack Overflow Stack Overflow - for R
Interfaces to R R Studio -IDE GUIs - RCommander, rattle, Deducer
Online- R-fiddle, statace Rattle GUI for Data Mining RStudio Rcmdr
Rcmdr JGR JGR JGR with Deducer -Data Viz R-Fiddle Statace Teaching
R Multiple ways to do the same thing in R - Resolve CONFUSION GUIs
can be shortcut initially -Selective Introduction to Packages Will
need command line and ?help later on -Emphasizing documentation
Pace of learning to be as per audience Huge Scope- hence should be
kept pertinent to needs Analytics is not Statistics R is more than
a computer language or syntax Projects are the best teachers R
Project for Researchers creating packages for analytics relevant to
industry i.e telecom churn, rfm, ltv, retail any takers? Thanks
Contact- https://www.linkedin.com/in/ajayohri at ohri2007 @
gmail.com