READ TEXT FILES, RUN MODELS
The Decision Science News R video tutorials continue with number 2. (If you missed that last one, you will want to watch R Video Tutorial Number 1 first.) The Goldstein pedometer dataset can be downloaded from http://www.dangoldstein.com/flash/Rtutorial2/pedometer.csv
Topics covered this week include:
- Tricking R into starting in your working directory
- Reading in text files
- Accessing columns in data frames
- Creating histograms
- Side effects and optional parameters of function calls
- Fitting simple linear models
- Adding least-squares and loess lines to plots
The commands in the tutorial are:
myData=read.table("pedometer.csv", header=TRUE, sep=",")
x=hist(myData$Steps,col="lightblue")
x=hist(myData$Steps,breaks=20,col="lightblue")
plot(myData$Steps ~ myData$Observation,col="blue")
myModel=lm(myData$Steps ~ myData$Observation)
summary(myModel)
lines(fitted(myModel))
lines(fitted(loess(myModel)),col="red")
Can’t view flash? Download movie If you see no image under Windows, download the TSSC Codec.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...


Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).