如何获取 R 环境中可用的数据框列表?
当我们执行任何类型的数据分析时,R 环境中会创建多种类型的对象,例如向量、数据框、矩阵、列表、数组等。如果我们想获取 R 环境中可用的数据框列表,则可以使用以下命令 −
names(which(unlist(eapply(.GlobalEnv,is.data.frame))))
示例
x1<-rnorm(25) x1
输出
[1] 0.567169417 0.225760338 0.431393591 -0.419678291 -2.167417490 [6] 0.599410253 -1.936957284 -0.601723252 -0.210805670 -0.515634650 [11] -0.145867403 -1.670541518 -0.160427082 0.784548090 -0.530931156 [16] 0.973887609 -0.115687083 -1.469525241 0.903437248 0.260271889 [21] -1.021167526 0.261825724 -1.431022651 0.006119475 -0.935248330
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示例
x2<-data.frame(x=rpois(20,2),y=rpois(20,2)) x2
输出
x y 1 2 4 2 1 1 3 2 2 4 1 4 5 5 1 6 1 2 7 3 2 8 1 3 9 3 3 10 5 1 11 3 1 12 0 1 13 2 5 14 4 2 15 3 0 16 6 0 17 3 4 18 5 1 19 1 3 20 1 0
示例
x3<-data.frame(x=rexp(20,2.1),y=rexp(20,1.2)) x3
输出
x y 1 0.08637793 0.3611441 2 0.06233789 1.0206873 3 1.20495802 0.6067851 4 0.60393345 0.1692306 5 0.11447822 0.4875182 6 0.32097787 0.2984741 7 0.09996313 0.7241003 8 0.52471669 1.2555738 9 0.69409516 0.2025357 10 0.08056040 0.8985850 11 0.27020003 1.6472922 12 0.18115211 0.6072404 13 1.12247247 0.0400686 14 0.02473768 2.3088929 15 0.09295997 1.2731939 16 2.02997989 1.3905549 17 1.76667321 0.3793563 18 0.44163965 0.1276282 19 0.08554350 0.5680570 20 0.90013924 1.1731834
示例
x4<-runif(50,2,10) x4
输出
[1] 6.229683 2.848786 5.127299 6.074733 9.235342 7.086393 3.456571 6.476437 [9] 9.180637 8.562265 3.642606 8.963444 2.665767 3.219165 2.455509 4.746601 [17] 5.700686 8.568766 2.106431 4.427528 7.566335 5.767371 9.606190 8.720031 [25] 9.161196 3.994676 6.623008 3.227018 4.013676 8.920018 8.652831 7.510169 [33] 8.799055 6.243303 5.223534 6.640771 3.359809 4.675036 5.699510 9.801201 [41] 9.237743 9.530666 4.077065 2.704086 7.189221 5.890195 4.968044 4.638300 [49] 5.019257 7.183788
示例
x5<-sample(round(rnorm(5),2),50,replace=TRUE) x5
输出
[1] -0.67 1.43 -0.67 0.79 1.62 1.62 1.43 1.62 0.79 -0.65 0.79 1.62 [13] 1.62 1.43 1.43 1.62 -0.67 1.62 -0.65 1.62 -0.67 0.79 1.62 0.79 [25] 1.62 1.43 -0.67 1.43 -0.67 1.43 1.43 -0.67 -0.65 1.43 1.62 1.43 [37] 1.62 1.43 1.62 -0.65 0.79 1.43 1.62 1.62 -0.65 1.43 1.62 -0.65 [49] 1.62 1.43
示例
x6<-sample(round(rnorm(5,30,2.24),2),100,replace=TRUE) x6
输出
[1] 30.42 29.02 30.42 29.48 29.48 27.21 27.21 32.75 29.48 30.42 29.02 27.21 [13] 29.48 32.75 29.02 27.21 29.48 29.48 30.42 29.02 29.48 30.42 27.21 27.21 [25] 32.75 27.21 29.02 27.21 32.75 30.42 29.48 30.42 32.75 32.75 29.48 32.75 [37] 27.21 30.42 29.02 29.48 27.21 30.42 32.75 27.21 29.02 32.75 29.48 32.75 [49] 32.75 27.21 32.75 32.75 29.48 29.48 27.21 29.48 29.48 27.21 29.02 32.75 [61] 32.75 30.42 29.02 30.42 27.21 27.21 29.48 29.48 29.48 30.42 32.75 29.02 [73] 29.02 29.48 27.21 30.42 30.42 29.02 32.75 27.21 27.21 27.21 32.75 29.48 [85] 29.02 30.42 32.75 27.21 30.42 27.21 30.42 29.02 27.21 29.02 29.02 32.75 [97] 30.42 29.48 30.42 30.42
names(which(unlist(eapply(.GlobalEnv,is.data.frame))))
输出
[1] "x2" "x3"
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