PROSAGA码农传奇-R-在两个因子变量水平之间取差异，同时在R中保留其他因子变量

在两个因子变量水平之间取差异，同时在R中保留其他因子变量

作者: 那月静好
发布时间: 2024-12-26 10:56:35 (17天前)
转自：

<div class =“post-text”itemprop =“text”>
  <P>
    一个选项
     <code>
      dplyr
    </code>
     将会
  </p>
   <pre>
    <code>
      library(dplyr)

my.df %>% 
  group_by(Gene, Population) %>% 
  summarize(Coverage = Coverage[Color == "Blue"] - Coverage[Color == "Green"])

# A tibble: 4 x 3
# Groups:   Gene [?]
#   Gene  Population Coverage
#   <fct> <fct>         <dbl>
# 1 A_1   PopA       -0.00600
# 2 A_1   PopB       -0.420  
# 3 A_2   PopA       -0.01   
# 4 A_2   PopB        0.100

</code>
  </pre>
  <P>
    的<strong>
      数据
    </强>
  </p>
   <pre>
    <code>
      my.df <- 
  structure(list(Gene = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), .Label = c("A_1", "A_2"), class = "factor"), 
                 Population = structure(c(1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L), .Label = c("PopA", "PopB"), class = "factor"), 
                 Color = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Blue", "Green"), class = "factor"), 
                 Coverage = c(0.016, 0.022, 0.1322, 0.552, 0.13, 0.14, 1, 0.9)), class = "data.frame", row.names = c(NA, -8L))

</code>
  </pre>
</DIV>