Displaying 3 results from an estimated 3 matches for "notsorted".
2008 Jul 01
1
[.data.frame speedup
...ULL
# Do not want to check for duplicates if don't need to
noDuplicateRowNames <- (is.logical(i) ||
(!is.null(attr(x, "dup.row.names"))) ||
(is.numeric(i) && min(i, 0, na.rm=TRUE) < 0) ||
(!notSorted(i, strict = TRUE)))
if (!missing(j)) {
x <- x[j]
cols <- names(x)
if (drop && length(x) == 1L) {
if (is.character(i)) {
rows <- attr(xx, "row.names")
i <- pmatch(i, rows, duplicates.ok = TRUE)
}
xj <- .subset2(.subset(...
2013 Jan 03
1
Survey package help with svystandardize
...s, (!is.na(agegr5) & !is.na(sex) & !
is.na(rfsmok)))
stdes<-svystandardize(testing_dataset, by=~agegr5, over=~sex,
population=popage)
-------------------------
SUDAAN code:
PROC DESCRIPT DATA = "h:\\brfss_data\\brfss11\\pudf11\\txbrfss_pudf11"
DESIGN = WR FILETYPE= SUDXPORT NOTSORTED;
NEST STSTR SEQNO/MISSUNIT;
WEIGHT LLCPWT;
SETENV LINESIZE = 106 PAGESIZE = 45 COLWIDTH = 11 TOPMGN = 1;
VAR RFSMOK;
CATLEVEL 2;
STDVAR AGEGR5;
STDWGT .128810 .182648 .219077 .299194 .170271;
SUBGROUP SEX AGEGR5;
LEVELS 2 5 ;
TABLES (SEX);
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2010 Nov 23
6
the first. from SAS in R
Is there any similar function in R to the first. in SAS?
What it dose is:
Lets say we have this table:
a b c
1 1 5
1 0 2
2 0 2
2 0 NA
2 9 2
3 1 3
and then I want do to do one thing the first time the number 1 appers in a
and something else the secund time 1 appers in a and so on.
so
something similar to:
if first.a {
a$d<-1
}else{
a$d<-0
}
This would give me