R语言：如何对数据逐行做t检验

数据如下：

    symbol    treatmean      normean

1 TSPAN6 2.576304e+00 2.366602e+00
2 TNMD 2.234116e+00 1.626712e+00
3 STPG1 1.096107e+00 1.137881e+00
4 ANKIB1 5.653002e+01 5.693976e+01
5 RAD52 3.281830e+00 4.342305e+00
6 BAD 3.599712e+01 3.915359e+01
7 HS3ST1 5.906161e-01 9.762797e-01
8 AOC1 1.916161e-01 9.656780e-02
9 WNT16 8.658304e-01 1.319695e+00
10 HECW1 1.079107e-01 1.265678e-01

如何对以上数据逐行做t检验？

尝试了t.test(treatmean, normean)，但是结果为
Welch Two Sample t-test

data: treatmean and normean
t = -0.041155, df = 41981, p-value = 0.9672
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-6.118579 5.866915
sample estimates:
mean of x mean of y
20.57342 20.69925
可以看出是对treatmean和normean两列求了均值以后再做t检验，得到了一个p值
但是我的目的是得到每行中treatmean和normean的p值
请问应该怎么做呢