将txt文件读入R中的数据帧

我有一个以下格式的文本文件：

   "C1","name1","type1": 2
   "C1","name2","type4": 6
   "C2","name1","type2": 1
   "C1","name3","type1": 10

我试过：

   db<- read.table("myfile.txt")

如何将最后两列存储为两个单独的列

    C1   name1     type1  2
    C1   name2     type4  6
    C2   name1     type2  1
    C1   name3     type1  10

---

谢谢

也许

从
tidyr
中分离出来的
软件包可以帮助您

   tidyr::separate(db, col = 3, into = c("type", "number"), sep = ":")

您可以在读取后拆分列，但请尝试
read.csv

x = read.csv("myfile.txt", header = F, sep = ",")
y = matrix(unlist(strsplit(as.character(x$V3), ":")), ncol = 2, byrow = T)

x$V3 = y[, 3]
x$V4 = y[, 4]

  V1    V2    V3  V4
1 C1 name1 type1   2
2 C1 name2 type4   6
3 C2 name1 type2   1
4 C1 name3 type1  10

你可以做：

d1 <- read.table(header=FALSE, sep=":", stringsAsFactors = FALSE, text=
'   "C1","name1","type1": 2
   "C1","name2","type4": 6
   "C2","name1","type2": 1
   "C1","name3","type1": 10')

d2 <- read.table(header=FALSE, sep=",", stringsAsFactors = FALSE, text=d1$V1)

cbind(d2, d1V2=d1$V2)
#> cbind(d2, d1V2=d1$V2)
#     V1    V2    V3 d1V2
#1    C1 name1 type1    2
#2    C1 name2 type4    6
#3    C2 name1 type2    1
#4    C1 name3 type1   10

d1
x = read.csv("myfile.txt", header = F, sep = ",")
y = matrix(unlist(strsplit(as.character(x$V3), ":")), ncol = 2, byrow = T)

x$V3 = y[, 3]
x$V4 = y[, 4]

  V1    V2    V3  V4
1 C1 name1 type1   2
2 C1 name2 type4   6
3 C2 name1 type2   1
4 C1 name3 type1  10

d1 <- read.table(header=FALSE, sep=":", stringsAsFactors = FALSE, text=
'   "C1","name1","type1": 2
   "C1","name2","type4": 6
   "C2","name1","type2": 1
   "C1","name3","type1": 10')

d2 <- read.table(header=FALSE, sep=",", stringsAsFactors = FALSE, text=d1$V1)

cbind(d2, d1V2=d1$V2)
#> cbind(d2, d1V2=d1$V2)
#     V1    V2    V3 d1V2
#1    C1 name1 type1    2
#2    C1 name2 type4    6
#3    C2 name1 type2    1
#4    C1 name3 type1   10