Analysis here is generally very similar to tests for 2 unpaired numeric groups.

**Student's t-test**

Only paired=T option is needed, rest being as in unpaired groups section:

**code:**

> xx

[1] 6 1 3 9 10 7 8 4 5 2

> yy

[1] 3 6 9 1 4 8 5 10 7 2

>

>

> t.test(xx,yy, paired=T)

Paired t-test

data: xx and yy

t = 0, df = 9, p-value = 1

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

-3.536819 3.536819

sample estimates:

mean of the differences

0

**Non-parametric test**

Here also only paired=T needs to be added to Wilcoxan test:

**code:**

> wilcox.test(xx,yy, paired=T)

Wilcoxon signed rank test with continuity correction

data: xx and yy

V = 23, p-value = 1

alternative hypothesis: true location shift is not equal to 0

**Warning messages:**

1: In wilcox.test.default(xx, yy, paired = T) :

cannot compute exact p-value with ties

2: In wilcox.test.default(xx, yy, paired = T) :

cannot compute exact p-value with zeroes