R dplyr列與字母數字字符排序

Question

爲什麼dplyr在數字和字母字符組成的情況下不能正確排序第一列？

> library(dplyr) 
> y <- read.table("file.csv", sep = ",") 
> arrange(y, V1) 
    V1   V2   V3   V4   V5   V6 
1 1 0.97348999 0.11047091 0.95841014 0.61826620 0.43164420 
2 10 0.82178167 0.21619067 0.11993356 0.06335101 0.28703842 
3 11 0.35952632 0.27595845 0.24760335 0.63887200 0.47491472 
4 12 0.43775624 0.08852486 0.06870304 0.63670202 0.55432641 
5 13 0.83894086 0.40484966 0.96735507 0.86764578 0.02588688 
6 14 0.95258399 0.65029909 0.97183605 0.87688243 0.97729517 
7 15 0.62839615 0.52999000 0.05722874 0.40709867 0.56039580 
8 2 0.22754619 0.16812359 0.39432991 0.68562992 0.43066861 
9 3 0.33318220 0.21108688 0.60911213 0.64475379 0.98617404 
10 4 0.57208511 0.58709229 0.29435093 0.78603855 0.81185551 
11 5 0.35548490 0.15229426 0.42423263 0.72963238 0.044
12 6 0.08575802 0.33310521 0.09671737 0.90820671 0.33289880 
13 7 0.05743798 0.20439928 0.56411860 0.54859270 0.81053637 
14 8 0.99056584 0.29960046 0.20765701 0.45722997 0.51354034 
15 9 0.35839568 0.11667019 0.56498996 0.43971051 0.23968955 
16 A 0.25645249 0.07045102 0.17046681 0.75700118 0.50269449 
17 B 0.57722865 0.31544398 0.33129932 0.44173772 0.11600295 
18 C 0.94242373 0.55745376 0.01542128 0.01723924 0.11413310 

我想看到的：

V1   V2   V3   V4   V5   V6 
1 1 0.97348999 0.11047091 0.95841014 0.61826620 0.43164420 
2 2 0.22754619 0.16812359 0.39432991 0.68562992 0.43066861 
3 3 0.33318220 0.21108688 0.60911213 0.64475379 0.98617404 
4 4 0.57208511 0.58709229 0.29435093 0.78603855 0.81185551 
5 5 0.35548490 0.15229426 0.42423263 0.72963238 0.044
6 6 0.08575802 0.33310521 0.09671737 0.90820671 0.33289880 
7 7 0.05743798 0.20439928 0.56411860 0.54859270 0.81053637 
8 8 0.99056584 0.29960046 0.20765701 0.45722997 0.51354034 
9 9 0.35839568 0.11667019 0.56498996 0.43971051 0.23968955 
10 10 0.82178167 0.21619067 0.11993356 0.06335101 0.28703842 
11 11 0.35952632 0.27595845 0.24760335 0.63887200 0.47491472 
12 12 0.43775624 0.08852486 0.06870304 0.63670202 0.55432641 
13 13 0.83894086 0.40484966 0.96735507 0.86764578 0.02588688 
14 14 0.95258399 0.65029909 0.97183605 0.87688243 0.97729517 
15 15 0.62839615 0.52999000 0.05722874 0.40709867 0.56039580 
16 A 0.25645249 0.07045102 0.17046681 0.75700118 0.50269449 
17 B 0.57722865 0.31544398 0.33129932 0.44173772 0.11600295 
18 C 0.94242373 0.55745376 0.01542128 0.01723924 0.11413310 

Answer 1

你阿爾法的漠視是有點問題，但如何：

library(dplyr) 
arrange(y, as.numeric(V1)) 
# Warning in order(as.numeric(y$V1)) : NAs introduced by coercion 
# V1   V2   V3   V4   V5   V6 
# 1 1 0.97348999 0.11047091 0.95841014 0.61826620 0.43164420 
# 8 2 0.22754619 0.16812359 0.39432991 0.68562992 0.43066861 
# 9 3 0.33318220 0.21108688 0.60911213 0.64475379 0.98617404 
# 10 4 0.57208511 0.58709229 0.29435093 0.78603855 0.81185551 
# 11 5 0.35548490 0.15229426 0.42423263 0.72963238 0.044
# 12 6 0.08575802 0.33310521 0.09671737 0.90820671 0.33289880 
# 13 7 0.05743798 0.20439928 0.56411860 0.54859270 0.81053637 
# 14 8 0.99056584 0.29960046 0.20765701 0.45722997 0.51354034 
# 15 9 0.35839568 0.11667019 0.56498996 0.43971051 0.23968955 
# 2 10 0.82178167 0.21619067 0.11993356 0.06335101 0.28703842 
# 3 11 0.35952632 0.27595845 0.24760335 0.63887200 0.47491472 
# 4 12 0.43775624 0.08852486 0.06870304 0.63670202 0.55432641 
# 5 13 0.83894086 0.40484966 0.96735507 0.86764578 0.02588688 
# 6 14 0.95258399 0.65029909 0.97183605 0.87688243 0.97729517 
# 7 15 0.62839615 0.52999000 0.05722874 0.40709867 0.56039580 
# 16 A 0.25645249 0.07045102 0.17046681 0.75700118 0.50269449 
# 17 B 0.57722865 0.31544398 0.33129932 0.44173772 0.11600295 
# 18 C 0.94242373 0.55745376 0.01542128 0.01723924 0.11413310 

這也適用於含底座：

y[ order(as.numeric(y$V1)), ] 

Ed它：OP然後問（deSpite！有說「我真的不在乎」;-)如何排序非數字字段。

第一條命令的工作原理是將非數字字段全部轉換爲NA，方便地將後面的數字排列在之後。那麼，dplyr::arrange和base::order都會採用任意參數，第一列中的關係由第二個參數處理，等等。因此，爲了在NA（非數字V1元素）之間進行排序，只需添加一些有意義的內容他們，如......「他們」：

arrange(y, as.numeric(V1), V1) 
y[ order(as.numeric(y$V1), y$V1), ]