我正在使用的数据集有两个和三个词的变量名，两者之间有空格。
> names(final.data1)
## [1] "Vehicle ID" "Frame ID" "Total Frames"
## [4] "Global Time" "Local X" "Local Y"
## [7] "Global X" "Global Y" "Vehicle Length"
## [10] "Vehicle width" "Vehicle class" "Vehicle velocity"
## [13] "Vehicle acceleration" "Lane" "Preceding Vehicle ID"
## [16] "Following Vehicle ID" "Spacing" "Headway"
## [19] "svel" "sacc" "PrecVehClass"
我没有更改名称，而是继续进行分析。当我用transform的plyr包，我有2列其中一些包含相同的数字，但有不同名称的变量。
# Determining when the lane change occured
final.data1 <- ddply(final.data1, c("`Vehicle class`", "`Vehicle ID`"), transform,
lane.change = c(NA, ifelse(diff(Lane) != 0, "yes", ".")))
ordr <- with(final.data1, order(`Vehicle ID`))
final.data1 <- final.data1[ordr, ] #sort in ascending order by vehicle ID
names(final.data1)
## [1] "Vehicle class" "Vehicle ID" "Vehicle.ID"
## [4] "Frame.ID" "Total.Frames" "Global.Time"
## [7] "Local.X" "Local.Y" "Global.X"
## [10] "Global.Y" "Vehicle.Length" "Vehicle.width"
## [13] "Vehicle.class" "Vehicle.velocity" "Vehicle.acceleration"
## [16] "Lane" "Preceding.Vehicle.ID" "Following.Vehicle.ID"
## [19] "Spacing" "Headway" "svel"
## [22] "sacc" "PrecVehClass" "lane.change"
看到Vehicle ID和Vehicle.ID？为什么会发生这种情况？如果我不想更改原始变量名，该如何防止呢？
问题实际上出在transform，它在“检查”变量名。如果您在通话check.names = FALSE后添加，我想您会得到想要的。这是一个带有玩具数据集的示例。transformddply
dat = data.frame("Vehicle class" = rep(c("a", "b"), each = 4),
"Vehicle ID" = rep(c("c","d"), times = 4),
Lane = sample(0:3, 8, replace = TRUE),
"Vehicle Length" = runif(8, 0, 100), check.names = FALSE)
require(plyr)
# Using transform changes names in output data.frame
ddply(dat, .(`Vehicle class`, `Vehicle ID`), transform,
lane.change = c(NA, ifelse(diff(Lane) != 0, "yes", ".")))
# Adding check.names = FALSE to change this behavior
ddply(dat, .(`Vehicle class`, `Vehicle ID`), transform, check.names = FALSE,
lane.change = c(NA, ifelse(diff(Lane) != 0, "yes", ".")))
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