r - 'ignoring' missing data in condition for index -


i trying create index increases 1 if condition fulfilled. code seems work if there no missing data. however, if there missing data, index becomes "na". how can avoid (basically ignoring missing data)?

i tried na.rm=true/false, far can tell refers functions. assume there rather straight forward solution this? many thanks.

here code:

iaep$psindex <- 0 iaep$psindex[iaep$lelecsystem==3] <- 1    iaep$psindex <- iaep$psindex + (iaep$govstruct==3)  iaep$psindex <- iaep$psindex + (iaep$reservedseat==2)  iaep$psindex <- iaep$psindex + (iaep$uppub==1)  iaep$psindex <- iaep$psindex + (iaep$bankpol==1)  iaep$psindex <- iaep$psindex + (iaep$execveto==1 & iaep$legveto==1)

here sample data:

iaep <- as.data.frame(structure(list(cowc = structure(c(18l, 18l, 18l, 18l, 18l, 18l,  18l, 18l, 18l, 18l), .label = c("afg", "alb", "alg", "ang", "arg",  "arm", "aul", "aus", "aze", "bah", "bel", "ben", "bfo", "bhu",  "blr", "bng", "bol", "bos", "bot", "bra", "bui", "bul", "cam",  "can", "cao", "cdi", "cen", "cha", "chl", "chn", "col", "com",  "con", "cos", "cro", "cub", "cyp", "cze", "czr", "den", "dji",  "dom", "drc", "drv", "ecu", "egy", "eqg", "eri", "est", "eth",  "etm", "fij", "fin", "frn", "gab", "gam", "gdr", "gfr", "gha",  "gmy", "gnb", "grc", "grg", "gua", "gui", "guy", "hai", "hon",  "hun", "ind", "ins", "ire", "irn", "irq", "isr", "ita", "jam",  "jor", "jpn", "ken", "kuw", "kyr", "kzk", "lao", "lat", "lbr",  "leb", "les", "lib", "lit", "maa", "mac", "mag", "mal", "mas",  "maw", "mex", "mld", "mli", "mon", "mor", "mya", "mzm", "nam",  "nep", "new", "nic", "nig", "nir", "nor", "nth", "oma", "pak",  "pan", "par", "per", "phi", "png", "pol", "por", "prk", "qat",  "rok", "rom", "rus", "rvn", "rwa", "saf", "sal", "sau", "sen",  "sie", "sin", "slo", "slv", "sol", "som", "spn", "sri", "sud",  "swa", "swd", "swz", "syr", "taj", "taw", "taz", "thi", "tkm",  "tog", "tri", "tun", "tur", "uae", "uga", "ukg", "ukr", "uru",  "usa", "uzb", "ven", "yar", "yem", "ypr", "yug", "zam", "zim" ), class = "factor"), year = 1993:2002, psindex = c(na, na, na,  4, 4, 4, 4, 4, 4, 4), lelecsystem = c(3l, 3l, 3l, 3l, 3l, 3l,  3l, 3l, 3l, 3l), govstruct = c(na, na, na, 3l, 3l, 3l, 3l, 3l,  3l, 3l), courtexec = c(na, na, na, 0l, 0l, 0l, 0l, 0l, 0l, 0l ), reservedseat = c(na, na, na, 2l, 2l, 2l, 2l, 2l, 2l, 2l),      uppub = c(1l, 1l, 1l, 0l, 0l, 0l, 0l, 0l, 0l, 0l), bankpol = c(na,      na, na, 1l, 1l, 1l, 1l, 1l, 1l, 1l), execveto = c(na, na,      na, 0l, 0l, 0l, 0l, 0l, 0l, 0l), legveto = c(na, na, na,      1l, 1l, 1l, 1l, 1l, 1l, 1l)), .names = c("cowc", "year",  "psindex", "lelecsystem", "govstruct", "courtexec", "reservedseat",  "uppub", "bankpol", "execveto", "legveto"), row.names = 1474:1483, class = "data.frame"))

update/clarification: e.g. in years 1993 - 1995 index na because values in e.g. govstruct missing. instead of na in index have value 2 since 2 conditions index fulfilled (leclecsystem==3 , uppub==1).

cowc    year    psindex lelecsystem govstruct   courtexec   reservedseat    uppub   bankpol execveto    legveto 1   bos 1993    na  3   na  na  na  1   na  na  na 2   bos 1994    na  3   na  na  na  1   na  na  na 3   bos 1995    na  3   na  na  na  1   na  na  na 4   bos 1996    4   3   3   0   2   0   1   0   1 5   bos 1997    4   3   3   0   2   0   1   0   1 6   bos 1998    4   3   3   0   2   0   1   0   1 7   bos 1999    4   3   3   0   2   0   1   0   1 8   bos 2000    4   3   3   0   2   0   1   0   1 9   bos 2001    4   3   3   0   2   0   1   0   1 10  bos 2002    4   3   3   0   2   0   1   0   1

here solution:

conds <- cbind(iaep$govstruct==3, iaep$reservedseat==2, iaep$uppub==1, iaep$bankpol==1, iaep$execveto==1 & iaep$legveto==1)   iaep$psindex <- apply(conds, 1, sum, na.rm=t)

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