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重新排列R中的数据框

[英]Rearranging Data frame in R

So I have an R output that looks like this 所以我的R输出看起来像这样

Time    50  100  150  200  250  300  350
Carla  1.2  1.8  2.2  2.3  3.0  2.5  1.8
Mace   1.5  1.1  1.9  2.0  3.6  3.0  2.5
Lea    1.7  1.6  2.3  2.7  2.6  2.2  2.6
Karen  1.3  1.7  1.9  2.2  3.2  1.5  1.9

I want it to look like this 我希望它看起来像这样

Time  Score   Name
50    1.2     Carla
50    1.5     Mace
50    1.7     Lea
50    1.3     Karen
100   1.8     Carla
100   1.5     Mace
100   1.7     Lea
100   1.3     Karen

How can I transform it to this? 我该如何将其转换为此? Thank you 谢谢

Two methods, neither requiring external packages: 两种方法,既不需要外部包:

# get the data, the number labelled columns get automatically renamed
# to say 'X50' instead of '50'
test <- read.table(text="Time   50   100    150  200 250 300 350
Carla  1.2   1.8   2.2  2.3 3.0 2.5 1.8
Mace   1.5   1.1   1.9  2.0 3.6 3.0 2.5
Lea    1.7   1.6   2.3  2.7 2.6 2.2 2.6
Karen  1.3   1.7   1.9  2.2 3.2 1.5 1.9",header=TRUE)

Method 1 : as.data.frame.table 方法1as.data.frame.table

rownames(test) <- test$Time
result <- setNames(as.data.frame.table(as.matrix(test[-1])),c("Name","Time","Score"))
result$Time <- gsub("X","",result$Time)

> head(result)
   Name Time Score
1 Carla   50   1.2
2  Mace   50   1.5
3   Lea   50   1.7
4 Karen   50   1.3
5 Carla  100   1.8
6  Mace  100   1.1

Method 2 : base R reshape 方法2 :基础R reshape

result <- reshape(test, idvar="Time", varying=-1, direction="long", sep="")
names(result) <- c("Name","Time","Score")

> head(result)
           Name Time Score
Carla.50  Carla   50   1.2
Mace.50    Mace   50   1.5
Lea.50      Lea   50   1.7
Karen.50  Karen   50   1.3
Carla.100 Carla  100   1.8
Mace.100   Mace  100   1.1

I copy your dataset directly from here and processed it a bit: 我直接从这里复制你的数据集并稍加处理:

library(reshape2)

data <- read.fwf("data.txt",widths=c(7,5,7,5,4,4,4,3))
data <- data.frame(lapply(data,function(x){gsub(" ","",x)}),stringsAsFactors=FALSE)
data <- data.frame(lapply(data,as.character),stringsAsFactors=FALSE)
names(data) <- data[1,]
data <- data[-1,]

data <- melt(data,id.vars=c("Time"))
names(data) <- c("Name","Time","Score")
data <- data[,c("Time","Score","Name")]

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