回复 第1楼 的 qxde01:
我也遇到这个问题,我猜可能是因为某一次下载的时候因为网络原因没有返回完整的数据,所以我又加了一步检测返回值,如果获取失败的话就再次尝试getURL。我加了这些以后暂时还没有报过错。
抛砖引玉,还请高手看看对不对。
回复 第1楼 的 qxde01:
我也遇到这个问题,我猜可能是因为某一次下载的时候因为网络原因没有返回完整的数据,所以我又加了一步检测返回值,如果获取失败的话就再次尝试getURL。我加了这些以后暂时还没有报过错。
抛砖引玉,还请高手看看对不对。
<br />
a <- matrix(c(0.57002,1 ,<br />
40.56,1 ,<br />
7.8499,1 ,<br />
-36.91,1 ,<br />
-45.15,1 ,<br />
6.2401,1 ,<br />
4.79,1 ,<br />
1.0899,1 ,<br />
-9.44,1 ,<br />
6.54,1 ,<br />
-0.89008,1 ,<br />
-0.40994,1 ,<br />
51.63,1 ,<br />
-27.76,1 ,<br />
4.03,1 ,<br />
-31.86,1 ,<br />
13.14,1 ,<br />
14.37,1 ,<br />
0.029999,1 ,<br />
-5.54,1 ,<br />
0.029953,1 ,<br />
-7.6901,1 ,<br />
5.4001,1 ,<br />
10.49,1 ,<br />
-8.04,1 ,<br />
-4.51,1 ,<br />
13.97,1 ,<br />
12.53,1 ,<br />
5.22,1 ,<br />
55.93,1 ,<br />
-11.22,1 ,<br />
14.22,1 ,<br />
5.64,1 ,<br />
-19.3,1 ,<br />
-32.31,1 ,<br />
2.6,1 ,<br />
7.29,1 ,<br />
7.4401,1 ,<br />
-18.49,1 ,<br />
13.94,1 ,<br />
4.04,1 ,<br />
52.62,1 ,<br />
-9.86,1 ,<br />
31.46,1 ,<br />
3.2099,1 ,<br />
3.73,1 ,<br />
-3.4,1 ,<br />
8.76,1 ,<br />
-13.23,1 ,<br />
-3.0899,1 ,<br />
-4.9599,1 ,<br />
-18.34,1 ,<br />
-9.77,1 ,<br />
-4.6801,1 ,<br />
6.1901,1 ,<br />
0.63007,1 ,<br />
19.79,1 ,<br />
11.74,1 ,<br />
19.33,1 ,<br />
19.15,1 ,<br />
-18.1,1 ,<br />
9.98,1 ,<br />
-12.29,1 ,<br />
-0.25995,1 ,<br />
-9.1901,1 ,<br />
11.15,1 ,<br />
-34.51,1 ,<br />
-11.59,1 ,<br />
-27.59,1 ,<br />
4.01,1 ,<br />
-6.3199,1 ,<br />
1.3699,1 ,<br />
-0.26001,1 ,<br />
-15.23,1 ,<br />
-0.019989,1 ,<br />
26.03,1 ,<br />
17.03,1 ,<br />
-5.53,1 ,<br />
0.52005,1 ,<br />
4.7,1 ,<br />
-7.88,1 ,<br />
8.24,1 ,<br />
-4.9299,1 ,<br />
-2.07,1 ,<br />
40.99,1 ,<br />
21.11,1 ,<br />
-1.5099,1 ,<br />
-17.84,1 ,<br />
-9.6501,1 ,<br />
-4.89,1 ,<br />
41.97,1 ,<br />
-24.97,1 ,<br />
-47.3,1 ,<br />
-0.93008,1 ,<br />
-24.87,1 ,<br />
-2.3601,1 ,<br />
-8.4401,1 ,<br />
-14.77,0 ,<br />
-17.44,0 ,<br />
-7.21,0 ,<br />
-2.88,0 ,<br />
-22.5,0 ,<br />
2.52,0 ,<br />
1.7501,0 ,<br />
-31.26,0 ,<br />
-7.35,0 ,<br />
-1.01,0 ,<br />
-52.98,0 ,<br />
8.76,0 ,<br />
25.49,0 ,<br />
3.17,0 ,<br />
-11.82,0 ,<br />
-14.19,0 ,<br />
-11.5,0 ,<br />
-36.15,0 ,<br />
52.53,0 ,<br />
-6.1801,0 ,<br />
-42.32,0 ,<br />
-31.83,0 ,<br />
12.57,0 ,<br />
-3.6499,0 ,<br />
-0.14996,0 ,<br />
-5.89,0 ,<br />
-2.4001,0 ,<br />
-3.62,0 ,<br />
-4.38,0 ,<br />
-23.12,0 ,<br />
-11.56,0 ,<br />
-19.25,0 ,<br />
47.1,0 ,<br />
-20.03,0 ,<br />
3.25,0 ,<br />
3.9301,0 ,<br />
-10.02,0 ,<br />
-3.0299,0 ,<br />
-0.91005,0 ,<br />
-13.14,0 ,<br />
22.4,0 ,<br />
-42.83,0 ,<br />
-16.93,0 ,<br />
-13.3,0 ,<br />
-46.04,0 ,<br />
-18.76,0 ,<br />
-10.35,0 ,<br />
-4.57,0 ,<br />
-4,0 ,<br />
30.42,0 ,<br />
14.13,0 ,<br />
-45.71,0 ,<br />
-1.24,0 ,<br />
-5.71,0 ,<br />
-43.42,0 ,<br />
19.02,0 ,<br />
-17.34,0 ,<br />
1.7801,0 ,<br />
-4.67,0 ,<br />
-10.11,0 ,<br />
-14.48,0 ,<br />
2.9,0 ,<br />
-15.15,0 ,<br />
42.03,0 ,<br />
7.31,0 ,<br />
-2.3499,0 ,<br />
-7.08,0 ,<br />
10.08,0 ,<br />
11.01,0 ,<br />
1.76,0 ,<br />
0.9899,0 ,<br />
-8.89,0 ,<br />
5.38,0 ,<br />
-23.42,0 ,<br />
-4.12,0 ,<br />
-36.98,0 ,<br />
-4.99,0 ,<br />
-4.9501,0 ,<br />
-3.8399,0 ,<br />
-17.52,0 ,<br />
-7.35,0 ,<br />
-1.04,0 ,<br />
-12.09,0 ,<br />
-23.92,0 ,<br />
6.8499,0 ,<br />
-3.97,0 ,<br />
42.43,0 ,<br />
-20.52,0 ,<br />
-14.3,0 ,<br />
-15.94,0 ,<br />
-0.95001,0 ,<br />
-37.38,0 ,<br />
-14.36,0 ,<br />
14.97,0 ,<br />
-6.23,0 ,<br />
39.93,0 ,<br />
-65.34,0 ,<br />
-27.15,0 ,<br />
-4,0 ,<br />
-10.05,0 ,<br />
26.67,0 ,<br />
-9.9199,0 ,<br />
12.66,0 ,<br />
19.83,0 ,<br />
-44.88,0 ,<br />
3.2799,0 ,<br />
-10.04,0 ,<br />
-30.55,0 ,<br />
-13.25,0 ,<br />
-8,0 ,<br />
-3.4199,0 ,<br />
-6.8201,0 ,<br />
4.8102,0 ,<br />
-8.9901,0 ,<br />
-21.77,0 ,<br />
-5.92,0 ,<br />
13.68,0 ,<br />
11.1,0 ,<br />
-0.74997,0 ,<br />
2.49,0 ,<br />
-4.98,0 ,<br />
-3.2399,0 ,<br />
-24.91,0 ,<br />
12.24,0 ,<br />
11.01,0 ,<br />
10.66,0 ,<br />
-1.11,0 ,<br />
-67.97,0 ,<br />
-9.48,0 ,<br />
11.76,0 ,<br />
34.64,0 ,<br />
0.55008,0 ,<br />
-5.89,0 ,<br />
-10.19,0 ,<br />
-11.82,0 ,<br />
-4.97,0 ,<br />
-4.6501,0 ,<br />
12.61,0 ,<br />
-10.48,0 ,<br />
7.4499,0 ,<br />
-16.77,0 ,<br />
-0.75005,0 ,<br />
10.02,0 ,<br />
-7.41,0 ,<br />
-16.11,0 ,<br />
-21.22,0 ,<br />
-12.08,0 ,<br />
-8.1,0 ,<br />
-22.82,0 ,<br />
32.078,0 ,<br />
2.17,0 ,<br />
-13.95,0 ,<br />
2.02,0 ,<br />
-7.1201,0 ,<br />
-73.18,0 ,<br />
-12.8,0 ,<br />
-3.09,0 ,<br />
8.7801,0 ,<br />
30.21,0 ,<br />
-24.06,0 ,<br />
-48.98,0 ,<br />
0.82004,0 ,<br />
-15.36,0 ,<br />
-6.9,0 ,<br />
-14.56,0 ,<br />
53.73,0 ,<br />
-38.96,0 ,<br />
-7.36,0 ,<br />
-38.24,0 ,<br />
-10.7,0 ,<br />
42.76,0 ,<br />
-11.51,0 ,<br />
-1.44,0 ,<br />
28.67,0 ,<br />
-10.37,0 ,<br />
-11.73,0 ,<br />
-5.9801,0 ,<br />
-0.67998,0 ,<br />
2.3499,0 ,<br />
-24.25,0 ,<br />
-25.01,0 ,<br />
6.06,0 ,<br />
0.51004,0 ,<br />
4.74,0 ,<br />
-2.9399,0 ,<br />
-28.58,0 ,<br />
-44.01,0 ,<br />
-69.09,0 ,<br />
-3.1,0 ,<br />
12.81,0 ,<br />
-10.6,0 ,<br />
-5.2501,0 ,<br />
15.41,0 ,<br />
-61.07,0 ), ncol=2, byrow=TRUE)</p>
<p>x <- a[a[,2]==0, 1]<br />
y <- a[a[,2]==1, 1]<br />
plot(density(x))<br />
lines(density(y))<br />
t.test(x,y)<br />
</p>
我试了一下,从图片上看两组的分布是有区别的,均值看上去不一样