R confident intervals

[user124578]

I would like to find the confident intervals for both of those samples. How can I go about this, please?

sample1 =c(103.85717,
           103.14916,
           113.90591,
           104.91262,
           90.84991,
           97.60370,
           101.22786,
           102.18647,
           97.69707,
           95.88739,
           109.02683,
           92.12523,
           106.21427,
           98.92642,
           90.83309,
           93.55331,
           102.26012,
           99.50595,
           109.58390,
           99.52911,
           106.94329,
           98.57266,
           95.04966,
           94.62632,
           105.90799,
           103.72201,
           98.21947,
           99.34361,
           103.06769,
           105.33094)

sample2 <- c(84.91725,	
             100.62723,
             88.79755,
             104.33116,
             98.37728,
             97.46470,
             94.56373,
             96.59360,
             95.56268,
             90.70722,
             90.80393,
             102.37638,
             100.52961,
             99.52056,
             106.59802,
             85.82843,
             92.39860,
             100.09725,
             98.49902,
             103.80920,
             92.75619,
             108.97948,
             107.33424,
             94.47826,	
             107.20983,
             97.42251,
             91.63524,	
             95.62785,	
             98.37055,	
             88.43078)

[shenting017]

Just use “ci” function?

[FJCC]

You should be able to use the CI function from the Rmisc package as suggested by shenting017. You can also calculate it manually as explained, for example, in this document:
http://www.stat.ucla.edu/~rgould/110as02/bsci

That might give you a better idea of where the number comes from . You would want to use the method described in the section Setting II, though read it from the beginning.