我正在尝试遍历变量(我仍在努力了解 apply() 系列,很快就会有一天)并构造我希望为其获取标签的变量名称。
一个简化的例子可能是最简单的......
library(Hmisc)
t <- data.frame(matrix(1:100, 10))
label(t$X1) <- "This is my first variable"
label(t$X2) <- "This is my second variable"
label(t$X3) <- "This is my third variable"
label(t$X4) <- "This is my fourth variable"
label(t$X5) <- "This is my fifth variable"
label(t$X6) <- "This is my sixth variable"
label(t$X7) <- "This is my seventh variable"
label(t$X8) <- "This is my eighth variable"
label(t$X9) <- "This is my ninth variable"
label(t$X10) <- "This is my tenth variable"
for(x in 1:10){
my.label <- label(paste("t$X", x, sep=""))
print(my.label)
}
当运行这给出....
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
[1] ""
当我期待看到
[1] "This is my first variable"
[1] "This is my second variable"
[1] "This is my third variable"
[1] "This is my fourth variable"
[1] "This is my fifth variable"
[1] "This is my sixth variable"
[1] "This is my seventh variable"
[1] "This is my eighth variable"
[1] "This is my ninth variable"
[1] "This is my tenth variable"
我知道 paste() 函数工作正常,因为...
for(x in 1:10){
print(paste("t$X", x, sep=""))
}
[1] "X$1"
[1] "X$2"
[1] "X$3"
[1] "X$4"
[1] "X$5"
[1] "X$6"
[1] "X$7"
[1] "X$8"
[1] "X$9"
[1] "X$10"
我很难过,我尝试将 paste() 放在 eval() 中,如...
for(x in 1:10){
my.label <- label(eval(paste("t$X", x, sep="")))
print(my.label)
}
......但没有快乐。这似乎是一件简单的事情,我已经尝试寻找解决方案,但显然没有用我正在尝试的短语正确描述它,因此在这里问。
非常感谢您的见解和指示。
谢谢,
松紧线
编辑:上面是一个简化的例子来说明我想要实现的有点复杂,目前我的代码看起来像......
for(type1 in c("bouldering", "routes")){
if(type1 == "bouldering"){
part <- c("indoors", "outdoors")
xlabel <- "Grade (Fontainebleau)"
}
else if(type1 == "routes"){
part <- c("onsight", "redpoint")
xlabel <- "Grade (French Sports)"
}
for(type2 in part){
for(training in c("pullup.rep", "pullup.weight", "hang.time", "hang.size", "bench.press", "bench.press.scaled", "dead.lift", "dead.lift.scaled", "front.lever", "height", "weight", "bmi")){
### Obtain the current variables label for using in the graph
ylabel <- label(paste("clean.data", training, sep="$"))
### Paste the bouldering/routes together with indoors/
### outdoors or onsight/redpoint so variables and files can be constructed
file.stub <- paste(type1, type2, sep="-")
metric <- paste(type1, type2, sep=".")
file.out <- paste("latex/figures/", gsub("\\.", "-", training) , "-", file.stub, ".png", sep="")
png(file.out, width=1024, height=768)
t <- qplot(metric, training,
data = clean.data,
geom = "boxplot",
fill = factor(metric),
xlab = xlabel,
ylab = ylabel)
t + opts(legend.position = "none")
dev.off()
}
}
}
所以目前我没有得到标签,也没有得到图表,因为命令(label()
和qplot()
)不知道我指的是带有数据框的列名clean.data