我必須使用特別是“外部”函式生成一個看起來盡可能像這個學生圖表的檔案，但我不知道該怎么做。
uj5u.com熱心網友回復：
就像是
x <- 1:20; names(x) <-x
y <- c(0.05, 0.025, 0.01, 0.005, 0.001, 0.0005); names(y) <- y
outer(x, y,function(x, y) {abs(qt(y, df=x))})
#> 0.05 0.025 0.01 0.005 0.001 5e-04
#> 1 6.313752 12.706205 31.820516 63.656741 318.308839 636.619249
#> 2 2.919986 4.302653 6.964557 9.924843 22.327125 31.599055
#> 3 2.353363 3.182446 4.540703 5.840909 10.214532 12.923979
#> 4 2.131847 2.776445 3.746947 4.604095 7.173182 8.610302
#> 5 2.015048 2.570582 3.364930 4.032143 5.893430 6.868827
#> 6 1.943180 2.446912 3.142668 3.707428 5.207626 5.958816
#> 7 1.894579 2.364624 2.997952 3.499483 4.785290 5.407883
#> 8 1.859548 2.306004 2.896459 3.355387 4.500791 5.041305
#> 9 1.833113 2.262157 2.821438 3.249836 4.296806 4.780913
#> 10 1.812461 2.228139 2.763769 3.169273 4.143700 4.586894
#> 11 1.795885 2.200985 2.718079 3.105807 4.024701 4.436979
#> 12 1.782288 2.178813 2.680998 3.054540 3.929633 4.317791
#> 13 1.770933 2.160369 2.650309 3.012276 3.851982 4.220832
#> 14 1.761310 2.144787 2.624494 2.976843 3.787390 4.140454
#> 15 1.753050 2.131450 2.602480 2.946713 3.732834 4.072765
#> 16 1.745884 2.119905 2.583487 2.920782 3.686155 4.014996
#> 17 1.739607 2.109816 2.566934 2.898231 3.645767 3.965126
#> 18 1.734064 2.100922 2.552380 2.878440 3.610485 3.921646
#> 19 1.729133 2.093024 2.539483 2.860935 3.579400 3.883406
#> 20 1.724718 2.085963 2.527977 2.845340 3.551808 3.849516
由reprex 包于 2022-01-23 創建(v2.0.1)
請延長x至所需長度，然后使用任何精美的表格樣式進行造型。
uj5u.com熱心網友回復：
基本上，我們可以使用qtand來生成 T 表qnorm。
y <- c(0.05, 0.025, 0.01, 0.005, 0.001, 0.0005)
x <- c(1:30,seq(32,50,by=2),seq(60,100,by=10),120,150,seq(200,600,by=100))
t=outer(x, y,function(x, y) {abs(qt(y, df=x))})
r=-qnorm(y)
table<-rbind(t,r)
colnames(table)<-y
rownames(table)<-c(x,"inf")
table
結果將是：
> table
0.05 0.025 0.01 0.005 0.001 5e-04
1 6.313752 12.706205 31.820516 63.656741 318.308839 636.619249
2 2.919986 4.302653 6.964557 9.924843 22.327125 31.599055
3 2.353363 3.182446 4.540703 5.840909 10.214532 12.923979
4 2.131847 2.776445 3.746947 4.604095 7.173182 8.610302
5 2.015048 2.570582 3.364930 4.032143 5.893430 6.868827
6 1.943180 2.446912 3.142668 3.707428 5.207626 5.958816
7 1.894579 2.364624 2.997952 3.499483 4.785290 5.407883
8 1.859548 2.306004 2.896459 3.355387 4.500791 5.041305
9 1.833113 2.262157 2.821438 3.249836 4.296806 4.780913
10 1.812461 2.228139 2.763769 3.169273 4.143700 4.586894
11 1.795885 2.200985 2.718079 3.105807 4.024701 4.436979
12 1.782288 2.178813 2.680998 3.054540 3.929633 4.317791
13 1.770933 2.160369 2.650309 3.012276 3.851982 4.220832
14 1.761310 2.144787 2.624494 2.976843 3.787390 4.140454
15 1.753050 2.131450 2.602480 2.946713 3.732834 4.072765
16 1.745884 2.119905 2.583487 2.920782 3.686155 4.014996
17 1.739607 2.109816 2.566934 2.898231 3.645767 3.965126
18 1.734064 2.100922 2.552380 2.878440 3.610485 3.921646
19 1.729133 2.093024 2.539483 2.860935 3.579400 3.883406
20 1.724718 2.085963 2.527977 2.845340 3.551808 3.849516
21 1.720743 2.079614 2.517648 2.831360 3.527154 3.819277
22 1.717144 2.073873 2.508325 2.818756 3.504992 3.792131
23 1.713872 2.068658 2.499867 2.807336 3.484964 3.767627
24 1.710882 2.063899 2.492159 2.796940 3.466777 3.745399
25 1.708141 2.059539 2.485107 2.787436 3.450189 3.725144
26 1.705618 2.055529 2.478630 2.778715 3.434997 3.706612
27 1.703288 2.051831 2.472660 2.770683 3.421034 3.689592
28 1.701131 2.048407 2.467140 2.763262 3.408155 3.673906
29 1.699127 2.045230 2.462021 2.756386 3.396240 3.659405
30 1.697261 2.042272 2.457262 2.749996 3.385185 3.645959
32 1.693889 2.036933 2.448678 2.738481 3.365306 3.621802
34 1.690924 2.032245 2.441150 2.728394 3.347934 3.600716
36 1.688298 2.028094 2.434494 2.719485 3.332624 3.582150
38 1.685954 2.024394 2.428568 2.711558 3.319030 3.565678
40 1.683851 2.021075 2.423257 2.704459 3.306878 3.550966
42 1.681952 2.018082 2.418470 2.698066 3.295951 3.537745
44 1.680230 2.015368 2.414134 2.692278 3.286072 3.525801
46 1.678660 2.012896 2.410188 2.687013 3.277098 3.514957
48 1.677224 2.010635 2.406581 2.682204 3.268910 3.505068
50 1.675905 2.008559 2.403272 2.677793 3.261409 3.496013
60 1.670649 2.000298 2.390119 2.660283 3.231709 3.460200
70 1.666914 1.994437 2.380807 2.647905 3.210789 3.435015
80 1.664125 1.990063 2.373868 2.638691 3.195258 3.416337
90 1.661961 1.986675 2.368497 2.631565 3.183271 3.401935
100 1.660234 1.983972 2.364217 2.625891 3.173739 3.390491
120 1.657651 1.979930 2.357825 2.617421 3.159539 3.373454
150 1.655076 1.975905 2.351465 2.609003 3.145453 3.356569
200 1.652508 1.971896 2.345137 2.600634 3.131480 3.339835
300 1.649949 1.967903 2.338842 2.592316 3.117620 3.323252
400 1.648672 1.965912 2.335706 2.588176 3.110731 3.315015
500 1.647907 1.964720 2.333829 2.585698 3.106612 3.310091
600 1.647397 1.963926 2.332579 2.584048 3.103871 3.306816
inf 1.644854 1.959964 2.326348 2.575829 3.090232 3.290527
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