Warning: file_get_contents(/data/phpspider/zhask/data//catemap/8/sorting/2.json): failed to open stream: No such file or directory in /data/phpspider/zhask/libs/function.php on line 167

Warning: Invalid argument supplied for foreach() in /data/phpspider/zhask/libs/tag.function.php on line 1116

Notice: Undefined index: in /data/phpspider/zhask/libs/function.php on line 180

Warning: array_chunk() expects parameter 1 to be array, null given in /data/phpspider/zhask/libs/function.php on line 181
R 从每组前3个值创建新数据帧_R_Sorting_Dataframe_Select - Fatal编程技术网
Fatal编程技术网
  • r/
  • R 从每组前3个值创建新数据帧

R 从每组前3个值创建新数据帧

r sorting dataframe select

R 从每组前3个值创建新数据帧,r,sorting,dataframe,select,R,Sorting,Dataframe,Select,我想从前3行为每个“gr”的“value”列创建一个新的数据帧。因此，在下面的示例中，基本上是一个数据帧，其中包含“gr”1,2,3,4,5的前3个“值” 以下是一个示例数据集： dataframe <- data.frame(sample = c("OP2645ii_c","OP5048___e","OP5048___f","OP5046___d","OP2645ii_e","OP2645ii_a","OP5054DNAa","OP5048___c","OP2645ii_d","OP50

我想从前3行为每个“gr”的“value”列创建一个新的数据帧。因此，在下面的示例中，基本上是一个数据帧，其中包含“gr”1,2,3,4,5的前3个“值”

以下是一个示例数据集：

dataframe <- data.frame(sample = c("OP2645ii_c","OP5048___e","OP5048___f","OP5046___d","OP2645ii_e","OP2645ii_a","OP5054DNAa","OP5048___c","OP2645ii_d","OP5048___b","OP5047___a","OP5048___h","OP5053DNAb","OP3088i__a","OP5048___g","OP5053DNAa","OP5049___a","OP2645ii_b","OP5046___c","OP5044___c","OP2413iiia","OP5054DNAc","OP5046___e","OP5054DNAb","OP5044___a","OP5046___a","OP5046___b","OP2413iiib","OP5051DNAa","OP5048___d","OP5044___b","OP5049___b","OP5051DNAc","OP5051DNAb","OP5053DNAc","OP5047___b","OP5043___b","OP5043___a","OP5052DNAa"),
                          gr = c("5","3","3","5","5","5","5","3","5","3","3","3","3","3","3","3","2","1","2","1","1","1","2","2","2","1","2","1","1","1","2","1","1","4","4","4","4","4","4"),
                          value = c("20.06915","20.06915","19.53556","19.39911","19.06339","18.35938","18.34701","17.85767","17.60714","17.30706","17.08515","16.91452","16.72728","16.46812","15.85850","15.42839","14.92798","14.65943","14.53258","14.33954","14.33583","14.23938","14.19658","14.12557","14.03669","13.89811","13.78137","13.75599","13.51798","13.41058","13.17932","13.11952","12.67316","12.57049","11.88663","11.08443","10.75299","10.61885","10.40393"))

dataframe首先，让我们创建一个函数，为我们提供前n行：


top\u n
dataframe%%>%groupby（gr）%%>%top\u n（3，值）
使用
dplyr