Hi folks - After upgrading to the latest version of Rmetrics, I can't read in data like I used to. Is anyone seeing the following? It seems to truncate the dates after I use "as.timeSeries".
-John SP500<-read.table("SP500.csv",header=TRUE,sep=",") > head(SP500) Date Open High Low Close Volume 1 08/04/06 1280.26 1292.92 1273.82 1279.40 2530970112 2 08/03/06 1278.22 1283.96 1271.25 1280.27 2728440064 3 08/02/06 1270.73 1283.42 1270.73 1277.41 2610749952 4 08/01/06 1278.53 1278.66 1265.71 1270.92 2527689984 5 07/31/06 1278.53 1278.66 1274.31 1276.66 2461299968 6 07/28/06 1263.15 1280.42 1263.15 1278.55 2480420096 > SP500<-as.timeSeries(SP500) > head(SP500) Open High Low Close Volume 0006-08-04 1280.26 1292.92 1273.82 1279.40 2530970112 0006-08-03 1278.22 1283.96 1271.25 1280.27 2728440064 0006-08-02 1270.73 1283.42 1270.73 1277.41 2610749952 0006-08-01 1278.53 1278.66 1265.71 1270.92 2527689984 0006-07-31 1278.53 1278.66 1274.31 1276.66 2461299968 0006-07-28 1263.15 1280.42 1263.15 1278.55 2480420096 > SP500<-cut.timeSeries(SP500, from="1980-01-03", to="2006-07-26") > head(SP500) Open High Low Close Volume > My session info: sessionInfo() R version 2.6.0 Patched (2007-10-22 r43236) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252 attached base packages: [1] tcltk stats graphics grDevices utils datasets methods [8] base other attached packages: [1] fTrading_260.72 fGarch_260.72 fArma_260.72 fMultivar_260.72 [5] fBasics_260.72 fImport_260.72 sn_0.4-2 mnormt_1.2-1 [9] fSeries_260.72 fCalendar_260.72 fEcofin_260.72 fUtilities_260.72 [13] spatial_7.2-37 RUnit_0.4.17 MASS_7.2-37 robustbase_0.2-8 [17] dyn_0.2-6 zoo_1.4-0 loaded via a namespace (and not attached): [1] grid_2.6.0 lattice_0.17-2 tools_2.6.0 > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.