如何将变量参数传递给ggplot中的颜色选项

时间:2014-05-12 19:39:24

标签: r function ggplot2

在下面的代码中inA在函数底部的第三行中无法正确识别/评估。我得到了

Error in parse(text = inA) : object 'inA' not found".  

inA在使用它的上面的其他两行中被认可得很好。我尝试了很多排列。

gcplot2 <- function (inraw,inA,inB){
   inwork   <- ddply(inraw,
                     .( eval(parse(text=inA)), eval(parse(text=inB)),BestYr),
                     summarize,  
                     cases=sum(Cases,na.rm=TRUE), 
                     pop=sum(Pop,na.rm=TRUE), 
                     rate=round(100000*cases/pop,2))
   names(inwork)[1] <- inA 
   names(inwork)[2] <- inB

   #problem "inA" is here
   x <- ggplot(inwork,aes(BestYr,rate, color=eval(parse(text=inA))))  

   x <- x + geom_line(size=1.5) + facet_wrap(as.formula(paste0("~ ",inB)))
   print(x)
}

gcplot2(inraw=gc.full,"NewRace","Region")

以下是数据框的一小部分示例,我希望可以将其用于&#34;可重复的示例&#34;。

dput(temp2)
structure(list(LHJ = c("SACRAMENTO", "YOLO", "SAN BENITO", "COLUSA", 
"STANISLAUS", "SAN DIEGO", "SHASTA", "TULARE", "MONTEREY", "KERN"
), BestYr = c(2010L, 2010L, 2010L, 2012L, 2012L, 2012L, 2011L, 
2011L, 2010L, 2010L), Sex = structure(c(2L, 2L, 2L, 2L, 2L, 1L, 
2L, 2L, 1L, 1L), .Label = c("F", "M"), class = "factor"), RaceEth = structure(c(3L, 
4L, 6L, 2L, 6L, 4L, 4L, 2L, 4L, 4L), .Label = c("A", "B", "H", 
"O", "U", "W"), class = "factor"), AgeGrp = structure(c(1L, 4L, 
5L, 2L, 7L, 2L, 4L, 2L, 3L, 1L), .Label = c("0-9", "10-14", "15-19", 
"20-24", "25-29", "30-34", "35-44", "45+", "Unk"), class = "factor"), 
Cases = c(NA, 0, 0, 0, 15.652173913, NA, 0, 0, 0, 0), Pop = c(32752.30608, 
538.17138648, 444.83561193, 11.107216039, 14186.950585, 5486.3069863, 
338.26814356, 245.3890448, 535.23711331, 2278.6798429), NewRace = c("Hispanic", 
"Other", "White", "Black", "White", "Other", "Other", "Black", 
"Other", "Other"), Region = structure(c(6L, 6L, 3L, 5L, 3L, 
8L, 5L, 3L, 2L, 3L), .Label = c("Bay Area", "Central Coast", 
"Central Inland", "Los Angeles", "Northern", "Sacramento Area", 
"San Francisco", "Southern"), class = "factor")), .Names = c("LHJ", 
"BestYr", "Sex", "RaceEth", "AgeGrp", "Cases", "Pop", "NewRace", 
"Region"), row.names = c(41377L, 67523L, 42571L, 7418L, 59857L, 
45051L, 54102L, 64260L, 32612L, 17538L), class = "data.frame")

1 个答案:

答案 0 :(得分:0)

我会使用aes_string执行此操作(并通过字符向量而不是ddply指定.()变量):

gcplot2 <- function (inraw,inA,inB){
    require("plyr")
    require("ggplot2")
    inwork   <- ddply(inraw,
                     c(inA, inB,"BestYr"),
                     summarize,  
                     cases=sum(Cases,na.rm=TRUE), 
                     pop=sum(Pop,na.rm=TRUE), 
                     rate=round(100000*cases/pop,2))
    x <- ggplot(inwork,aes(BestYr,rate)) +
        geom_line( aes_string(color=inA),size=1.5) +
            facet_wrap(as.formula(paste0("~ ",inB)))
    x
}
gcplot2(inraw=gc.full,"NewRace","Region")

我收到警告,但我认为这是由于使用了一小部分数据......