Datentabelle und geschichtete Mittel
Ich habe Code, der geschichtete gewichtete Mittelwerte generiert, und ich bin sicher, dass dies vor einigen Monaten funktioniert hat. Aber, aber ich bin nicht sicher, was das aktuelle Problem ist. (Ich entschuldige mich - das muss sehr einfaches Zeug sein):
dp=
structure(list(seqn = c(1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 13L, 3L, 4L, 9L, 10L, 11L, 14L, 8L, 11L, 12L, 10L,
5L, 13L, 2L, 14L, 3L, 9L, 6L, 7L), sex = c(2L, 1L, 2L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), bmi = c(22.8935608711259,
27.0944623781918, 40.4637162938634, 23.7649712675423, 15.3193372705538,
31.1280302540991, 21.4866354393239, 20.3200254374398, 32.331092513536,
25.3679771839413, 33.9400508162971, 14.7048592172926, 25.5243757788688,
23.4331882363495, 27.6428134168995, 29.3923629426172, 24.9547209666314,
17.0522203606383, 15.51, 22, 30.62, 30.94, 29.1, 25.57, 24.9,
27.33, 17.63, 18.48, 22.56, 29.39), tc = c(273L, 181L, 150L,
201L, 142L, 165L, 235L, 219L, 298L, 222L, 143L, 134L, 268L, 160L,
236L, 225L, 260L, 140L, 162L, 132L, 156L, 140L, 279L, 314L, 215L,
174L, 129L, 148L, 153L, 245L), swt = c(1645, 3318, 2280, 1574,
4062, 1627, 14604, 24675, 975, 975, 2697, 1559, 1737.58, 1730.23,
19521.36, 28080.57, 1248.43, 13745.77, 5251.76464426326, 6497.194885522,
15915.7023420765, 3740.96809540218, 16574.177622509, 307.32513798849,
4720.89748295751, 3247.78896499604, 7698.70949077031, 1262.6450411464,
6609.43340735515, 4254.23723479882)), .Names = c("seqn", "sex",
"bmi", "tc", "swt"), row.names = c(20560L, 20561L, 20562L, 20563L,
20565L, 20566L, 20567L, 20568L, 20569L, 20570L, 20571L, 20572L,
61335L, 61336L, 61338L, 61339L, 61340L, 61341L, 95465L, 96890L,
104613L, 105988L, 107581L, 112267L, 113403L, 114292L, 119979L,
120271L, 125939L, 135699L), class = "data.frame")
dt=data.table(dp, key='sex')
sapply(df,function(x)weighted.mean(x,df$swt)) #this works to weighted mean
dt[,lapply(.SD, mean, na.rm=T), .SDcols=c('bmi','tc','swt')]
#this also works for overall unweighted mean
dt[,lapply(.SD, function(x)weighted.mean(x,swt, na.rm=TRUE)), by=key(dt), .SDcols=c('bmi','tc','swt')]
aber das gibt den fehler:Error in weighted.mean.default(x, swt, na.rm = TRUE) : object 'swt' not found
sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] data.table_1.8.6
loaded via a namespace (and not attached):
[1] tools_2.15.2