search for: 2000l

Hi All, Year Area Q Bin FD I have a large dataset I need to re-structure. It looks something like this: 2000 1 1 5 0 2000 1 1 10 1 2000 1 1 15 23 2000 1 1 20 12 2000 1 1 25 1 2000 2 1 5 1 2000 2 1 10 3 2000 2 1 15 15 2000 2 1 20 11 2000 2 1 25 3 2000 1 2 5 0 2000 1 2 10 1 2000 1 2 15 23 2000 1 2 20 12 2000 1 2 25 1 2000 2 2 5 1 2000 2 2 10 3 2000 2 2 15 15 2000 2 2 20 11

...t;sen", "sle", "som", "tcd", "tgo", "tza", "uga", "zmb"), class = "factor"), year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003...

...ungroup() It doesn?t really generate what I described above. Any help here would be much appreciated. Below you can see my sample data with the desired outcome ?X? dummy in it. Thank you! > dput(data) structure(list(year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 1990L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 1990L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L,...

...e", >"som", "tcd", "tgo", "tza", "uga", "zmb"), class = "factor"), > >?????????????????????????year = c(1991L, 1992L, 1993L, 1994L, 1995L, >1996L, 1997L,? > >???????????????????????????????????1998L, 1999L, 2000L, 2001L, 2002L, >2003L, 2004L, 2005L, 2006L,? > >???????????????????????????????????2007L, 2008L, 2009L, 2010L, 2011L, >2012L, 2013L, 2014L, 2015L,? > >???????????????????????????????????1991L, 1992L, 1993L, 1994L, 1995L, >1996L, 1997L, 1998L, 1999L,? > >??????????????????...

...029), class = "Date"), STRIKE = c(6300L, 6300L, 6300L, 6300L, 6300L, 6300L), TMSTMP = c("14:18:36", "15:23:42", "15:22:30", "15:24:13", "15:22:07", "15:22:27"), PRICE = c(107, 102.05, 101.3, 101.5, 101.2, 101.2), QUANT = c(1850L, 2000L, 2000L, 1700L, 2000L, 2000L), DATE = structure(c(14977, 14977, 14977, 14977, 14977, 14977), class = "Date"), DTTM = structure(c(1294044516, 1294048422, 1294048350, 1294048453, 1294048327, 1294048347), class = c("POSIXct", "POSIXt"), tzone = ""), TTE = c(38, 3...

...????????????????"sle", "som", "tcd", "tgo", "tza", "uga", "zmb"), class = "factor"), ?????????????????????????year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L,? ???????????????????????????????????1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,? ???????????????????????????????????2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,? ???????????????????????????????????1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L,? ???????????????????????????????????2000L, 2001L, 2002L...

...nerate what I described above. Any help here would be much appreciated. > > Below you can see my sample data with the desired outcome ?X? dummy in it. > > Thank you! > >> dput(data) > structure(list(year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, > 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, > 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 1990L, 1991L, 1992L, > 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, > 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, > 2011L, 1990L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L...

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

...help here would be much appreciated. >> >> Below you can see my sample data with the desired outcome ?X? dummy in it. >> >> Thank you! >> >>> dput(data) >> structure(list(year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, >> 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, >> 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 1990L, 1991L, 1992L, >> 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, >> 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, >> 2011L, 1990L, 1991L, 1992L, 1993L, 199...

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

Hi everyone, I'm new at R (although I'm a Stata user for some time and somehow proficient in it) and I'm trying to use the 'diverse' R package to compute a few diversity measures on a sample of firms for a period of about 10 years. I was wondering if you can give me some hints on how to best proceed on using the 'diverse' package. My sample has the following setup.

Dear R-user, a few weeks ago I consulted the list-serve with a similar question. However, my task changed a little but sufficiently to get lost again. So I would appreciate any help on the following issue. I use the plm package and work with firm-level data in a panel. I would like to eliminate all firms that do not fulfill the requirement of having an observation in every variable used for at

I have a large dataset organised in choice groups see below. Each choice represents a separate occasion with 1 product chosen out of the 6 offered.            +-------------------------------------------------------------------------------------------------+      | dn   obs   choice      acid   br                 date       cdate   situat~n   mth   year   set |     

...6 1994 30.3 0.26 7 1996 29.9 0.24 8 1998 28.4 0.22 9 2000 27.8 0.22 10 2001 26.1 0.20 11 2002 25.1 0.19 12 2003 24.4 0.19 13 2004 23.7 0.19 14 2005 25.1 0.18 15 2006 23.9 0.20 dput(d) structure(list(year = c(1988L, 1989L, 1990L, 1991L, 1992L, 1994L, 1996L, 1998L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L), percent = c(30.6, 31.5, 30.9, 30.6, 29.3, 30.3, 29.9, 28.4, 27.8, 26.1, 25.1, 24.4, 23.7, 25.1, 23.9, 23.9), se = c(0.32, 0.31, 0.3, 0.28, 0.25, 0.26, 0.24, 0.22, 0.22, 0.2, 0.19, 0.19, 0.19, 0.18, 0.2, 0.18)), .Names = c("year", &quo...

...", "104", "104", "101", "101", "102", "103", "101", "101", "101", "101", "103", "103", "103" ), CURTIM = c(1450L, 1736L, 1755L, 1804L, 1950L, 2007L, 1150L, 1450L, 2000L, 1003L, 1030L, 1036L, 1300L, 1310L, 1320L), GRPFSH = c(2L, 2L, 2L, 2L, 2L, 3L, 1L, 2L, 3L, 2L, 4L, 1L, 1L, 3L, 1L), EEFF = c(11.5, 19, 5, 20, 0, 0, 5, 8, 0, 0, 0, 0, 3, 12, 6), ESP1 = c("SMB", "SMB", "SMB", "SMB", NA, NA, "YP", "YP", NA...

..., V6 = c(0L, 0L, 0L, 0L, 0L, 0L), V7 = c(700, 700, 700, 700, 700, 700), V8 = c("14:15:45", "14:15:51", "13:51:12", "13:45:13", "14:39:53", "14:40:08" ), V9 = c(37, 37, 37.75, 37, 37.5, 37.5), V10 = c(500L, 500L, 500L, 500L, 2000L, 500L), V11 = structure(c(14977, 14977, 14977, 14977, 14977, 14977), class = "Date"), V12 = c(52, 52, 52, 52, 52, 52)), .Names = c("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "...

>>>>> Michael Chirico >>>>> on Sun, 15 Sep 2019 20:52:34 +0800 writes: > Finally read in detail your response Gabe. Looks great, > and I agree it's quite intuitive, as well as agree against > non-recycling. > Once the length(n) == length(dim(x)) behavior is enabled, > I don't think there's any need/desire to have

...at fredhutch.org> wrote: > > Hi, > > Alternatively, how about a new glance() generic that would do something > like this: > >> library(DelayedArray) >> glance <- DelayedArray:::show_compact_array > >> M <- matrix(rnorm(1e6), nrow = 1000L, ncol = 2000L) >> glance(M) > <1000 x 2000> matrix object of type "double": > [,1] [,2] [,3] ... [,1999] [,2000] > [1,] -0.8854896 1.8010288 1.3051341 . -0.4473593 0.4684985 > [2,] -0.8563415 -0.7102768 -0.9309155 . -1.874350...

...w about a new glance() generic that would do something >>> like this: >>> >>>> library(DelayedArray) >>>> glance <- DelayedArray:::show_compact_array >>> >>>> M <- matrix(rnorm(1e6), nrow = 1000L, ncol = 2000L) >>>> glance(M) >>> <1000 x 2000> matrix object of type "double": >>> [,1] [,2] [,3] ... [,1999] [,2000] >>> [1,] -0.8854896 1.8010288 1.3051341 . -0.4473593 0.4684985 >>> [2,] -0.856341...

...gt;> Hi, >> >> Alternatively, how about a new glance() generic that would do something >> like this: >> >>> library(DelayedArray) >>> glance <- DelayedArray:::show_compact_array >> >>> M <- matrix(rnorm(1e6), nrow = 1000L, ncol = 2000L) >>> glance(M) >> <1000 x 2000> matrix object of type "double": >> [,1] [,2] [,3] ... [,1999] [,2000] >> [1,] -0.8854896 1.8010288 1.3051341 . -0.4473593 0.4684985 >> [2,] -0.8563415 -0.7102768 -0.9309...