在 R 中重塑数据集_将行移动到列

Question

我有一个格式如下的数据集：

enter image description here

structure(list(SNPID = c("SNP_A-1780520", "SNP_A-1780618", "SNP_A-1780632"
), no.1 = c("BB", "AB", "AA"), no.2 = c("BB", "AB", "AA"), no.3 = c("BB", 
"AB", "AB")), row.names = c(NA, -3L), class = c("tbl_df", "tbl", 
"data.frame"))`

我想重塑数据集，将每个 SNPID 作为一列，将每个“否”作为一行。

我尝试过不同的 R 包，但未能成功完成这个简单的任务。我感谢任何帮助。我想要这样的东西： enter image description here

Answer 1

使用 tidyr()

重塑数据的示例

library (tidyr)

df %>% 
  pivot_longer(-SNPID) %>% 
  pivot_wider(names_from = SNPID, values_from = value)

   name  `SNP_A-1780520` `SNP_A-1780618` `SNP_A-1780632` `SNP_A-1780654`
  <chr> <chr>           <chr>           <chr>           <chr>          
1 no.1  BB              AB              AA              AA             
2 no.2  BB              AB              AA              AA             
3 no.3  BB              AB              AA              AA

Answer 2

Base R 和 oneliner:

df = structure(list(SNPID = c("SNP_A-1780520", "SNP_A-1780618", "SNP_A-1780632" ), no.1 = c("BB", "AB", "AA"), no.2 = c("BB", "AB", "AA"), no.3 = c("BB",  "AB", "AB")), row.names = c(NA, -3L), class = c("tbl_df", "tbl",  "data.frame"))

df_new = as.data.frame(t(df))

输出：

df_new
                 V1            V2            V3
SNPID SNP_A-1780520 SNP_A-1780618 SNP_A-1780632
no.1             BB            AB            AA
no.2             BB            AB            AA
no.3             BB            AB            AB

Answer 3

这就是 data.table::transpose

的情况

data.table::transpose(df1, make.names = "SNPID",  keep.names = "name")
  name SNP_A-1780520 SNP_A-1780618 SNP_A-1780632
1 no.1            BB            AB            AA
2 no.2            BB            AB            AA
3 no.3            BB            AB            AB

在 R 中重塑数据集_将行移动到列

Reshape dataset in R_ move row to column

r

dplyr

reshape