Full_Name: Rick Stahlhut Version: 2.9.1 OS: os x 10.5.7 Submission from: (NULL) (128.151.71.23)
I upgraded to 2.9.1 today from 2.9.0. I work with large CDC (center for disease control) datasets and start, frequently, with a series of 23 large-ish merges to create the final dataset I work on. I do this each time because (a) R is fast. why not? and b) the datasets occasionally get updated by CDC and it's easier to swap in new files that way. One such merge is two data.frames with 10 variables and 10,000 rows each. The command in question is: temp = merge (demo.2,ph,by="seqn",all.x=TRUE) in 2.9.0, this command took 3.3 seconds. in 2.9.1, it took 35.8 seconds. I have reverted back to 2.9.0. Additional packages loaded are: library(Hmisc) library(alr3) library(epicalc) library(ggplot2) library(lattice) library(reshape) library(survey) library(car) thanks very much for all the effort. R is wonderful. ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
