如何在R中重复整个数据帧？
要在R中重复整个数据帧，我们可以按照以下步骤操作-
首先，创建一个数据框。
然后，使用rep函数重复数据帧。
示例
创建数据框
让我们创建一个数据框，如下所示-
x<-rnorm(20) y<-rnorm(20) z<-rnorm(20) df<-data.frame(x,y,z) df输出结果
执行时，上述脚本生成以下内容output(thisoutputwillvaryonyoursystemduetorandomization)-
x y z 1 -0.72553554 -0.003781742 -1.36481696 2 -0.12039265 -0.208840085 0.81715654 3 -1.97592285 0.887936261 1.98675032 4 0.17376084 0.515153192 0.69978704 5 -1.07646565 0.167017490 -2.30298717 6 0.98623624 0.481496490 0.55212882 7 1.66696821 1.454184146 -1.01862076 8 1.00844431 -0.722831649 -0.23451775 9 0.53058163 0.485509531 1.45703838 10 0.23904645 1.456821988 -0.11157839 11 0.50032955 -1.276985702 0.24204625 12 2.28643294 -0.189765951 -0.16021579 13 -0.37134394 -1.144893466 -1.84426120 14 -0.84774565 0.304323165 0.99355776 15 0.03875027 0.034829337 1.19431531 16 -2.13755826 0.877838682 -0.08493668 17 0.66341839 0.910711816 1.75597566 18 -0.76871288 0.998276851 -0.66642423 19 1.85887892 0.762980833 0.23355600 20 0.65030663 2.218971071 -0.35667725
重复数据框
使用rep函数重复数据帧df两次-
x<-rnorm(20) y<-rnorm(20) z<-rnorm(20) df<-data.frame(x,y,z) df[rep(1:nrow(df),2),]输出结果
x y z 1 -0.72553554 -0.003781742 -1.36481696 2 -0.12039265 -0.208840085 0.81715654 3 -1.97592285 0.887936261 1.98675032 4 0.17376084 0.515153192 0.69978704 5 -1.07646565 0.167017490 -2.30298717 6 0.98623624 0.481496490 0.55212882 7 1.66696821 1.454184146 -1.01862076 8 1.00844431 -0.722831649 -0.23451775 9 0.53058163 0.485509531 1.45703838 10 0.23904645 1.456821988 -0.11157839 11 0.50032955 -1.276985702 0.24204625 12 2.28643294 -0.189765951 -0.16021579 13 -0.37134394 -1.144893466 -1.84426120 14 -0.84774565 0.304323165 0.99355776 15 0.03875027 0.034829337 1.19431531 16 -2.13755826 0.877838682 -0.08493668 17 0.66341839 0.910711816 1.75597566 18 -0.76871288 0.998276851 -0.66642423 19 1.85887892 0.762980833 0.23355600 20 0.65030663 2.218971071 -0.35667725 1.1 -0.72553554 -0.003781742 -1.36481696 2.1 -0.12039265 -0.208840085 0.81715654 3.1 -1.97592285 0.887936261 1.98675032 4.1 0.17376084 0.515153192 0.69978704 5.1 -1.07646565 0.167017490 -2.30298717 6.1 0.98623624 0.481496490 0.55212882 7.1 1.66696821 1.454184146 -1.01862076 8.1 1.00844431 -0.722831649 -0.23451775 9.1 0.53058163 0.485509531 1.45703838 10.1 0.23904645 1.456821988 -0.11157839 11.1 0.50032955 -1.276985702 0.24204625 12.1 2.28643294 -0.189765951 -0.16021579 13.1 -0.37134394 -1.144893466 -1.84426120 14.1 -0.84774565 0.304323165 0.99355776 15.1 0.03875027 0.034829337 1.19431531 16.1 -2.13755826 0.877838682 -0.08493668 17.1 0.66341839 0.910711816 1.75597566 18.1 -0.76871288 0.998276851 -0.66642423 19.1 1.85887892 0.762980833 0.23355600 20.1 0.65030663 2.218971071 -0.35667725