**130**wrote:

Hi all,

I wanna do bootstraped spearman correlation in R. I found there was a function, spearmanRho, which is capable of doing it in R. But after testing, it seems that there is no difference between with bootstrap and without bootstrap, here is my code:

```
> LSAT <- c(576,635,558,578,666,580,555,661,651,605,653,575,545,572,594)
> GPA <- c(3.39,3.30,2.81,3.03,3.44,3.07,3.00,3.43,3.36,3.13,3.12,2.74,
+ 2.76,2.88,2.96)
> n = length(LSAT)
> xy <- data.frame(cbind(LSAT,GPA))
> xy
LSAT GPA
1 576 3.39
2 635 3.30
3 558 2.81
4 578 3.03
5 666 3.44
6 580 3.07
7 555 3.00
8 661 3.43
9 651 3.36
10 605 3.13
11 653 3.12
12 575 2.74
13 545 2.76
14 572 2.88
15 594 2.96
> cor.test(xy$LSAT, xy$GPA, method = "spearman")
Spearman's rank correlation rho
data: xy$LSAT and xy$GPA
S = 114, p-value = 0.0006079
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.7964286
> spearmanRho(x=xy$LSAT,y=xy$GPA,method="spearman",R=1000)
rho
0.796
```

So is there anything I did wrong? or is there any alternative to perform it in R? Any suggestions would be greatly appreciated. Thanks!

**32k**• written 6 months ago by zhangdengwei •

**130**