Ale*_*lex 32 r data.table
我正在尝试向我添加列data.table,其中名称是动态的.另外,我需要by在添加这些列时使用参数.例如:
test_dtb <- data.table(a = sample(1:100, 100), b = sample(1:100, 100), id = rep(1:10,10))
cn <- parse(text = "blah")
test_dtb[ , eval(cn) := mean(a), by = id]
# Error in `[.data.table`(test_dtb, , `:=`(eval(cn), mean(a)), by = id) :
# LHS of := must be a single column name when with=TRUE. When with=FALSE the LHS may be a vector of column names or positions.
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另一种尝试:
cn <- "blah"
test_dtb[ , cn := mean(a), by = id, with = FALSE]
# Error in `[.data.table`(test_dtb, , `:=`(cn, mean(a)), by = id, with = FALSE) : 'with' must be TRUE when 'by' or 'keyby' is provided
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马修更新:
这现在适用于R-Forge的v1.8.3.谢谢你的突出!
有关新示例,请参阅此类似问题:
Jos*_*ien 30
从data.table 1.9.4,你可以这样做:
## A parenthesized symbol, `(cn)`, gets evaluated to "blah" before `:=` is carried out
test_dtb[, (cn) := mean(a), by = id]
head(test_dtb, 4)
# a b id blah
# 1: 41 19 1 54.2
# 2: 4 99 2 50.0
# 3: 49 85 3 46.7
# 4: 61 4 4 57.1
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见细节中?:=:
DT[i, (colvector) := val][...]现在首选[...]语法.parens足以阻止LHS成为一个象征; 与...一样
c(colvector)
原始答案:
你是在正确的轨道上:构建一个在调用中被评估的表达式[.data.table是data.table方式来做这种事情.更进一步,为什么不构造一个表达式来计算整个 j参数(而不仅仅是它的左侧)?
像这样的东西应该做的伎俩:
## Your code so far
library(data.table)
test_dtb <- data.table(a=sample(1:100, 100),b=sample(1:100, 100),id=rep(1:10,10))
cn <- "blah"
## One solution
expr <- parse(text = paste0(cn, ":=mean(a)"))
test_dtb[,eval(expr), by=id]
## Checking the result
head(test_dtb, 4)
# a b id blah
# 1: 30 26 1 38.4
# 2: 83 82 2 47.4
# 3: 47 66 3 39.5
# 4: 87 23 4 65.2
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Woj*_*ala 17
可以用bquote构建表达式.
cn <- "blah"
expr <- bquote(.(as.name(cn)):=mean(a))
test_dtb[,eval(expr), by=id]
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