数据结构
网络
关系型数据库管理系统 (RDBMS)
操作系统
Java
MS Excel
iOS
HTML
CSS
Android
Python
C语言编程
C++
C#
MongoDB
MySQL
Javascript
PHP
物理学
化学
生物学
数学
英语
经济学
心理学
社会学
时尚研究
法学研究如何在R中通过定义列数将向量转换为数据框？
如果我们有一个向量，其中交替的值可以创建一个表格形式，那么我们可能希望将向量转换为数据框。为此，我们首先需要将向量转换为具有适当列/行数的矩阵，然后使用as.data.frame函数将其读取为数据框。查看下面的示例以了解其工作原理。
示例1
> x1<-c(rep(c(1,"male"),times=10),rep(c(2,"female"),times=10)) > x1
输出
[1] "1" "male" "1" "male" "1" "male" "1" "male" [9] "1" "male" "1" "male" "1" "male" "1" "male" [17] "1" "male" "1" "male" "2" "female" "2" "female" [25] "2" "female" "2" "female" "2" "female" "2" "female" [33] "2" "female" "2" "female" "2" "female" "2" "female"
将x1转换为数据框 -
> x1_df<-as.data.frame(matrix(x1,ncol=2,byrow=TRUE)) > x1_df
输出
V1 V2 1 1 male 2 1 male 3 1 male 4 1 male 5 1 male 6 1 male 7 1 male 8 1 male 9 1 male 10 1 male 11 2 female 12 2 female 13 2 female 14 2 female 15 2 female 16 2 female 17 2 female 18 2 female 19 2 female 20 2 female
示例2
将x2转换为数据框 -
> x2<-c(rep(c("Grp1",rpois(1,1)),times=10),rep(c("Grp2",rpois(1,8)),times=10))
> x2输出
[1] "Grp1" "5" "Grp1" "5" "Grp1" "5" "Grp1" "5" "Grp1" "5" [11] "Grp1" "5" "Grp1" "5" "Grp1" "5" "Grp1" "5" "Grp1" "5" [21] "Grp2" "11" "Grp2" "11" "Grp2" "11" "Grp2" "11" "Grp2" "11" [31] "Grp2" "11" "Grp2" "11" "Grp2" "11" "Grp2" "11" "Grp2" "11"
示例2
> x2_df<-as.data.frame(matrix(x2,ncol=2,byrow=TRUE)) > x2_df
输出
V1 V2 1 Grp1 5 2 Grp1 5 3 Grp1 5 4 Grp1 5 5 Grp1 5 6 Grp1 5 7 Grp1 5 8 Grp1 5 9 Grp1 5 10 Grp1 5 11 Grp2 11 12 Grp2 11 13 Grp2 11 14 Grp2 11 15 Grp2 11 16 Grp2 11 17 Grp2 11 18 Grp2 11 19 Grp2 11 20 Grp2 11
示例3
将x3转换为数据框 -
> x3<-c(rep(c("Grp1",rnorm(1),rpois(1,10)),times=10),rep(c("Grp2",rnorm(1),rpois(1,2)),times=10))
> x3输出
[1] "Grp1" "0.756362500132569" "4" [4] "Grp1" "0.756362500132569" "4" [7] "Grp1" "0.756362500132569" "4" [10] "Grp1" "0.756362500132569" "4" [13] "Grp1" "0.756362500132569" "4" [16] "Grp1" "0.756362500132569" "4" [19] "Grp1" "0.756362500132569" "4" [22] "Grp1" "0.756362500132569" "4" [25] "Grp1" "0.756362500132569" "4" [28] "Grp1" "0.756362500132569" "4" [31] "Grp2" "-0.339861988439845" "1" [34] "Grp2" "-0.339861988439845" "1" [37] "Grp2" "-0.339861988439845" "1" [40] "Grp2" "-0.339861988439845" "1" [43] "Grp2" "-0.339861988439845" "1" [46] "Grp2" "-0.339861988439845" "1" [49] "Grp2" "-0.339861988439845" "1" [52] "Grp2" "-0.339861988439845" "1" [55] "Grp2" "-0.339861988439845" "1" [58] "Grp2" "-0.339861988439845" "1"
示例4
> x3_df<-as.data.frame(matrix(x3,ncol=3,byrow=TRUE)) > x3_df
输出
V1 V2 V3 1 Grp1 0.756362500132569 4 2 Grp1 0.756362500132569 4 3 Grp1 0.756362500132569 4 4 Grp1 0.756362500132569 4 5 Grp1 0.756362500132569 4 6 Grp1 0.756362500132569 4 7 Grp1 0.756362500132569 4 8 Grp1 0.756362500132569 4 9 Grp1 0.756362500132569 4 10 Grp1 0.756362500132569 4 11 Grp2 -0.339861988439845 1 12 Grp2 -0.339861988439845 1 13 Grp2 -0.339861988439845 1 14 Grp2 -0.339861988439845 1 15 Grp2 -0.339861988439845 1 16 Grp2 -0.339861988439845 1 17 Grp2 -0.339861988439845 1 18 Grp2 -0.339861988439845 1 19 Grp2 -0.339861988439845 1 20 Grp2 -0.339861988439845 1
更新于：2021年3月5日
193 次浏览
广告