as.data.frame()中的R函数t()

as.data.frame()中的R函数t(),r,dataframe,R,Dataframe,我有一个关于R编程的问题 我得到了一个示例代码。这是 x <- read.table("example.txt", sep="=", header=F, nrows=6, fill=T) x <-x[,c(1:2)] x_t <- as.data.frame(t(x1)) names(x_t) <- c("ID", "URL", "SIZE", "DATE", "TIME", "DATASET") x_t <- x_t[c(2),] rownames(x

我有一个关于R编程的问题

我得到了一个示例代码。这是

x <- read.table("example.txt", sep="=", header=F, nrows=6, fill=T)  
x <-x[,c(1:2)] 
x_t <- as.data.frame(t(x1)) 
names(x_t) <- c("ID", "URL", "SIZE", "DATE", "TIME", "DATASET") 
x_t <- x_t[c(2),] 
rownames(x_t) <- NULL 
如何编写源代码

若你们知道答案,请帮帮我。
谢谢。

谢谢!我能再问一个问题吗?我想添加V1,V2,V3。。。在ID、URL、大小等方面使用V6。。。。数据集。我怎样才能解决这个问题?左边的“1”是什么?对不起,我必须使用变量assignpastea,i,_t,sep=,docxtracr::assign_colnames as.data.frame tpastea,i,sep=,stringsAsFactors=FALSE,1你能再帮我一个吗?
data.frame(
  V1 = c("ID", "URL", "SIZE", "DATE", "TIME", "DATASET"),
  V2 = c("A0001", "htttp://long.url", "54258", "27/06/02", "16:47:17", "Commercial Banks"),
  stringsAsFactors=FALSE # use stringsAsFactors = FALSE in your `read.table()` call as well
) -> xdf

xdf
##        V1               V2
## 1      ID            A0001
## 2     URL htttp://long.url
## 3    SIZE            54258
## 4    DATE         27/06/02
## 5    TIME         16:47:17
## 6 DATASET Commercial Banks

docxtractr::assign_colnames(
  as.data.frame(
    t(xdf),
    stringsAsFactors=FALSE
  ),
1)
##      ID              URL  SIZE     DATE     TIME          DATASET
## 1 A0001 htttp://long.url 54258 27/06/02 16:47:17 Commercial Banks
assign(rownames(paste("a", i, "_t")), NULL) 
data.frame(
  V1 = c("ID", "URL", "SIZE", "DATE", "TIME", "DATASET"),
  V2 = c("A0001", "htttp://long.url", "54258", "27/06/02", "16:47:17", "Commercial Banks"),
  stringsAsFactors=FALSE # use stringsAsFactors = FALSE in your `read.table()` call as well
) -> xdf

xdf
##        V1               V2
## 1      ID            A0001
## 2     URL htttp://long.url
## 3    SIZE            54258
## 4    DATE         27/06/02
## 5    TIME         16:47:17
## 6 DATASET Commercial Banks

docxtractr::assign_colnames(
  as.data.frame(
    t(xdf),
    stringsAsFactors=FALSE
  ),
1)
##      ID              URL  SIZE     DATE     TIME          DATASET
## 1 A0001 htttp://long.url 54258 27/06/02 16:47:17 Commercial Banks