Data Manipulation with R (Use R) by Phil Spector
Data Manipulation with R (Use R) Phil Spector ebook
ISBN: 0387747303, 9780387747309
'str' is a powerful tool for investigating the underlying structure of any R object str(max). Reply · Corey Chivers says: March 11, 2012 at 11:03 am. # CREATING AND MANIPULATING R OBJECTS R has various inbuilt data.frame datasets used to illustrate how functions operate e.g. 2 thoughts on “Montreal R workshop: Plyr, reshape and other data manipulation goodies”. # examine contents head(InsectSprays) # list the top records of a vector / matrix / d.f. Drew Conway calls them "10 reasons to always start your analysis in R". Welcome to the second installment of my analysis in R blog. I will also introduce some basic distance and proximity analysis and autocorrelation. UseR says: March 10, 2012 at 10:02 pm. An interesting insight from the interview is the amount of programming done by the Statisticians. In this installment I will focus on manipulating spatial data classes. Data() InsectSprays # this guide makes use of these datasets warpbreaks. Is the presentation going to be recorded? They're all very useful R packages that every data scientist should be aware of. The yhat blog lists 10 R packages they wish they'd known about earlier. We are looking into setting of future workshops – stay tuned. I would love to see how they use the R API to assimilate data.