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Dear R-devel List: read.csv() seems to have changed in R version 2.13.0 as compared to version 2.12.2 when reading in simple CSV files. Suppose I read in a 2-column CSV file ("test.csv"), say 1, a 2, b If file is encoded as UTF-8 (on Windows 7), then under R 2.13.0 read.csv("test.csv",fileEncoding="UTF-8",header=FALSE) yields the following output V1 1 ? Warning

Dear List, Shouldn't result1 and result2 be equal in the following case? Note that log$RequestID is a factor. That is, is.factor(log$RequestID) yields TRUE. result1 <- tapply(log$Flag,factor(log$RequestID),sum) result2 <- tapply(log$Flag,log$RequestID,sum) Yet, when I summarize the output, I get the following: summary(result1) Min. 1st Qu. Median Mean 3rd Qu.

[I am herewith re-posting this message on R-devel, as it seems to be the most appropriate mailing list for this issue.] Dear List, >From what I understand, strptime() simply converts from one class representation to another; i.e., from character to POSIXct/POSIXlt. One strange feature of this command running on Linux is that there are repeated calls to system time (as was revealed

Dear List, For what I understand, strptime() simply converts from one class representation to another; i.e., from character to POSIXct/POSIXlt. One strange feature of this command running on Linux is that there are repeated calls to system time (as was revealed in a trace of system calls), which considerably affect performance. These system calls end up taking almost 75% of the execution