search for: x2005

...777 1026 1414 38024 0 2922 502 0 ...  $ X2001: int  464083 0 2635482 1108 178 19429 0 1221 4919 0 ...  $ X2002: int  386118 0 2728387 680 0 25014 3707 871 2862 0 ...  $ X2003: int  441647 0 3822701 602 0 7293 6343 0 788 0 ...  $ X2004: int  471009 1349411 2700750 1310 215 52840 20119 7 474 0 ...  $ X2005: int  1081143 3662774 3740324 509 4 148102 30044 7 1962 0 ...  $ X2006: int  1670746 4127605 5920870 531 24 224382 27688 27 954 6 ...  $ X2007: int  2346392 3898345 6262784 5076 0 155818 31331 304 1415 0 ...  $ X2008: int  8151345 8119377 2639949 31010 0 202938 15803 104 495 0 ...  $ X2009: int  52...

Dear R Discussion List, I would like to save my data as a xlsx file. But at first I need to split it and then save each series into a Excel column. Please take a look at the following code: dados <- data.frame(matrix(c("2012-01-01","2012-02-01", "2012-03-01","2012-04-01","2012-05-01","2012-06-01",

...e with Lyx on a Mac (R2.8.1). I have 12 chunks of Sweave code that work fine, but this piece: <<>>= library(car) cabbages$Year<-recode(cabbages$Year,"'X2001'='2001';'X2002'='2002';'X2003'='2003';'X2004'='2004';'X2005'='2005';'X2006'='2006';'X2007'='2007';'X2008'='2008';'X2009'='2009';'X2010'='2010';'X2011'='2011';'X2012'='2012'") @ just prints out verbatim as a single line running of...

I have a file, each column of which is a separate year, and each row of each column is mean precipitation for that month. Looks like this (except it goes back to 1964). month X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 1 1.600 1.010 4.320 2.110 0.925 3.275 3.460 0.675 1.315 2.920 2 2.960 3.905 3.230 2.380 2.720 1.880 2.430 1.380 2.480 2.380 3 1.240 1.815 1.755 1.785 1.250 3.940 10.025 0.420 2.845 2.460 4 3.775 1.350 2...

...es packages come with no warranty whatsoever but I would like some feedback so please feel free to contact me via email - amcrory<aT>linuxsys<Dot>com. Best Regards, Andrew McRory - President / CTO Linux Systems Engineers, Inc. Located in beautiful Tallahassee, Florida (850) 224-5737 x2005

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]