如何将具有两列的数据帧重新整形为宽格式？(How to reshape a data frame with two columns to wide format?)

 我想重塑以下数据框架 
 
x <- structure(
    list(name = c("HT", "AT", "HG", "AG"),
         conv = c(2L, + 2L, 3L, 4L)),
    .Names = c("name", "conv"), row.names = 1:4, class = "data.frame")

> x
  name conv
1   HT    2
2   AT    2
3   HG    3
4   AG    4
 
 成 
 
  conv  x.1  x.2
1    2   HT   AT
2    3   HG   NA
3    4   AG   NA
 
 在最终数据框中，对于conv每个不同值，应该有一行，以及多少x.? 列，因为原始数据帧中有特定值的conv ，在必要时填充NA。 我不关心列名。 
 
 我尝试reshape但我无法让它工作，因为它似乎需要第三列，我没有： 
 
> reshape(x, idvar='conv', direction='wide')
Error in `[.data.frame`(data, , timevar) : undefined columns selected

I want to reshape the following data frame
 
x <- structure(
    list(name = c("HT", "AT", "HG", "AG"),
         conv = c(2L, + 2L, 3L, 4L)),
    .Names = c("name", "conv"), row.names = 1:4, class = "data.frame")

> x
  name conv
1   HT    2
2   AT    2
3   HG    3
4   AG    4
 
into
 
  conv  x.1  x.2
1    2   HT   AT
2    3   HG   NA
3    4   AG   NA
 
In the final data frame there should be a row for every distinct value of conv, and as many x.? columns as there are rows in the original data frame for that particular value of conv, filling with NAs when necessary. I don't care about the column names. 
 
I tried reshape but I can't get it to work, because it seems that it needs a third column that I don't have:
 
> reshape(x, idvar='conv', direction='wide')
Error in `[.data.frame`(data, , timevar) : undefined columns selected

原文：https://stackoverflow.com/questions/29415194